🕷️ Crawler Inspector

URL Lookup

Direct Parameter Lookup

Raw Queries and Responses

1. Shard Calculation

Query:

Response:

Calculated Shard: 165 (from laksa104)

2. Crawled Status Check

Query:

curl -X POST \
  'http://laksa165.int.ahrefs:8124/' \
  -H 'Content-Type: text/plain' \
  -H 'X-ClickHouse-Database: crawler3' \
  -H 'Authorization: Basic YXBpOg==' \
  -d 'SELECT getAhrefsURLFromUnparsed(src_unparsed) AS found_url, ifNull(toUnixTimestamp(download_stamp), 0) AS crawl_time, ifNull(toUnixTimestamp(props_url_first_seen), 0) AS first_indexed_time, download_http_code AS http_code, src_unparsed AS src_unparsed, src_root_hash AS src_root_hash, history_drop_reason AS history_drop_reason, meta_title AS meta_title, meta_descriptions AS meta_descriptions, attrs_boilerpipe_text AS attrs_boilerpipe_text, attrs_markdown AS attrs_markdown, attrs_readable_markdown AS attrs_readable_markdown, meta_canonical AS meta_canonical FROM crawler3.page_info_local FINAL PREWHERE (src_root_hash, src_unparsed) IN ((getAhrefsRootHashFromUnparsed(getAhrefsUnparsedNoserviceFromURL(\'https://aws.amazon.com/s3/\')), getAhrefsUnparsedNoserviceFromURL(\'https://aws.amazon.com/s3/\'))) FORMAT JSONEachRow'

Response:

{"found_url":"https:\/\/aws.amazon.com\/s3\/","crawl_time":1775005436,"first_indexed_time":1375978887,"http_code":200,"src_unparsed":"com,amazon!aws,\/s3\/ s443","src_root_hash":"11387554747766093965","history_drop_reason":null,"meta_title":"Cloud Object Storage – Amazon S3 – Amazon Web Services","meta_descriptions":["Amazon S3 is cloud object storage with industry-leading scalability, data availability, security, and performance. S3 is ideal for data lakes, mobile applications, backup and restore, archival, IoT devices, ML, AI, and analytics."],"attrs_boilerpipe_text":"Products\nStorage\nAmazon S3\nAmazon S3: 20 years of building what’s next\nFrom storage for the internet to the data foundation for AI and analytics, Amazon S3 scales and evolves with your ambition\nWhat is Amazon S3?\nAmazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Millions of customers of all sizes and industries store, manage, analyze, and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps. With cost-effective storage classes and easy-to-use management features, you can optimize costs, organize and analyze data, and configure fine-tuned access controls to meet specific business and compliance requirements.\nVideo Player is loading.\nCurrent Time \n0:00\nDuration \n1:31\nLoaded\n:\n0.00%\nRemaining Time \n1:31\nAmazon S3: 20 launches that defined 20 years of storage innovation\nExplore key S3 launches across architecture, storage classes, security, and management that transformed how customers store, analyze, and build with data.\nLearn more\nDurable storage at scale\nAmazon S3 launched on Pi Day, March 14, 2006, as the first generally available AWS service. Amazon S3 gave developers something new: a simple, durable, and secure-by-default way to store virtually unlimited data, from anywhere, at any time. Twenty years later, S3 stores hundreds of exabytes of data and more than 500 trillion objects and serves millions of customers worldwide. \nAs data accumulated faster than enterprises could afford to keep it, S3 Glacier became the cloud on-ramp for financial services, healthcare, and media. S3 Glacier Deep Archive pushed costs lower still, and S3 Glacier Instant Retrieval modernized archival storage by combining archive pricing with instant access.\nVideo Player is loading.\nCurrent Time \n0:00\nDuration \n21:26\nLoaded\n:\n0.00%\nRemaining Time \n21:26\nData foundation for AI\nS3 became the foundation of modern data lakes, enabling any organization to centralize structured and unstructured data, run analytics, and build applications without managing complex infrastructure. S3 Intelligent-Tiering rewrote the economics of storage, saving S3 customers more than $6 billion. S3 didn't just scale with industry shifts—it helped accelerate them.\nAs AI training and generative AI raised the bar for what storage needed to deliver, S3 evolved. S3 Express One Zone is the fastest cloud object storage class, S3 Tables deliver native Apache Iceberg support, and S3 Vectors provides native vector storage and query for AI applications.\nWhat began as storage for the internet is now the data foundation the world runs on.\nVideo Player is loading.\nCurrent Time \n0:00\nDuration \n1:48\nLoaded\n:\n0.00%\nRemaining Time \n1:48\nAmazon S3 today\n500T+\nobjects and hundreds of exabytes of data\n200M+\nrequests per second on average\n300B+\nevent notifications sent to serverless applications daily\n$6B+\nsaved in storage costs with S3 Intelligent-Tiering\nUse cases\nBuild an open data architecture for analytics and AI\nMore than 1,000,000 data lakes run on AWS. Whether you’re building a data lake or lakehouse architecture, Amazon S3 provides the ideal foundation for petabyte-scale analytics and AI workloads because of its unmatched durability, availability, scalability, security, and price performance. S3 supports open table formats like Apache Iceberg, allowing you to run queries directly against a single, reliable copy of data using your preferred AWS or third-party analytics engine. For a fully managed experience, S3 Tables automatically handles compaction, snapshot management, and file cleanup of Apache Iceberg tables, reducing the operational burden of managing a data lakehouse and scaling performance as your data volumes grow.\nAccelerate performance-critical applications\nBuilding on the scale and durability of Amazon S3, the S3 Express One Zone storage class accelerates performance-intensive workloads with consistent single-digit millisecond latency and up to 10x faster data access than the S3 Standard storage class. It’s ideal for high-throughput workloads such as AI training and inference, real-time analytics, media processing, and interactive applications. As the fastest cloud object storage, S3 Express One Zone delivers faster access to the most frequently accessed dataset, improves compute efficiency, and lowers API request costs, reducing the total cost of ownership for the most demanding workloads.\nScale and differentiate generative AI and agentic applications\nBuild generative AI and agentic applications on Amazon S3, the durable and scalable foundation for your data. Access diverse data types at scale—including unstructured, structured, streaming, and vector data—to train, fine-tune, and customize models or improve contextual understanding through RAG. With direct integrations across AWS analytics and AI\/ML services, S3 accelerates the path from data to intelligence without managing complex infrastructure.\nS3 simplifies data pipelines, protects critical information with security by default, and delivers cost-efficient scalability so you can support evolving AI workloads. Whether you’re developing domain-specific assistants, intelligent agents, or personalized generative AI experiences, S3 provides the trusted data foundation to build, customize, and deploy quickly and efficiently.\nOptimize vector stroage and query costs for AI and semantic search\nSemantic search enables AI applications to understand the meaning and context of data by using vector embeddings to represent relationships across content such as documents, images, and videos. Amazon S3 Vectors brings native vector support to S3, allowing you to store and query vectors alongside your source data in a fully serverless architecture. By reducing the cost of storing and querying vectors by up to 90% while maintaining subsecond query performance, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as conduct semantic search results of your S3 data. With S3 Vectors, developers can get started quickly, reduce operational complexity, and scale vector-driven semantic search and AI workloads efficiently on a durable, trusted foundation.\nBack up, restore, and archive data while meeting compliance requirements\nMeet your recovery time objective (RTO), recovery point objective (RPO), and compliance requirements with the robust replication functionality of S3, data protection with AWS Backup, and various AWS Partner Network solutions. For cost-optimized, long-term data storage, archive data using Amazon S3 Glacier storage classes to lower costs, eliminate operational complexities, and gain new insights.\nCustomers\nGet started","attrs_markdown":"## Select your cookie preferences\nWe use essential cookies and similar tools that are necessary to provide our site and services. We use performance cookies to collect anonymous statistics, so we can understand how customers use our site and make improvements. Essential cookies cannot be deactivated, but you can choose “Customize” or “Decline” to decline performance cookies.   \n  \n If you agree, AWS and approved third parties will also use cookies to provide useful site features, remember your preferences, and display relevant content, including relevant advertising. To accept or decline all non-essential cookies, choose “Accept” or “Decline.” To make more detailed choices, choose “Customize.”\n\nAccept\n\nDecline\n\nCustomize\n\n## Customize cookie preferences\nWe use cookies and similar tools (collectively, \"cookies\") for the following purposes.\n\n### Essential\nEssential cookies are necessary to provide our site and services and cannot be deactivated. They are usually set in response to your actions on the site, such as setting your privacy preferences, signing in, or filling in forms.\n\nAllowed\n\n### Performance\nPerformance cookies provide anonymous statistics about how customers navigate our site so we can improve site experience and performance. Approved third parties may perform analytics on our behalf, but they cannot use the data for their own purposes.\n\nAllowed\n\n### Functional\nFunctional cookies help us provide useful site features, remember your preferences, and display relevant content. 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For more information about cookies and how we use them, read our [Cookie Notice](https:\/\/aws.amazon.com\/legal\/cookies\/) .\n\nAllow cross-context behavioral ads\n\nOpt out of cross-context behavioral ads\n\nTo opt out of the use of other identifiers, such as contact information, for these activities, fill out the form [here](https:\/\/pulse.aws\/application\/ZRPLWLL6?p=0) .\n\nFor more information about how AWS handles your information, read the [AWS Privacy Notice](https:\/\/aws.amazon.com\/privacy\/) .\n\nCancel\n\nSave preferences\n\n## Unable to save cookie preferences\nWe will only store essential cookies at this time, because we were unable to save your cookie preferences.  \n  \nIf you want to change your cookie preferences, try again later using the link in the AWS console footer, or contact support if the problem persists.\n\nDismiss\n\n[Skip to main content](https:\/\/aws.amazon.com\/s3\/#aws-page-content-main)\n\n- Filter: All\n\n- English\n- [Contact us](https:\/\/aws.amazon.com\/contact-us\/?nc2=h_ut_cu)\n- [AWS Marketplace](https:\/\/aws.amazon.com\/marketplace?nc2=h_utmp)\n- Support\n- My account\n\n- Discover AWS\n- Products\n- Solutions\n- More\n\n- Search\n  \n  Filter: All\n- [Sign in to console](https:\/\/console.aws.amazon.com\/console\/home\/?nc2=h_si&src=header-signin)\n- [Create account](https:\/\/signin.aws.amazon.com\/signup?request_type=register)\n\nAmazon S3\n\n- [Overview](https:\/\/aws.amazon.com\/s3\/?nc=sn&loc=1)\n- Features\n- Storage classes\n- [Pricing](https:\/\/aws.amazon.com\/s3\/pricing\/?nc=sn&loc=4)\n- [Security](https:\/\/aws.amazon.com\/s3\/security\/?nc=sn&loc=5)\n- More\n\n- [Products](https:\/\/aws.amazon.com\/products\/)\n- [Storage](https:\/\/aws.amazon.com\/products\/storage\/)\n- Amazon S3\n\n# Amazon S3: 20 years of building what’s next\nFrom storage for the internet to the data foundation for AI and analytics, Amazon S3 scales and evolves with your ambition\n\n[Get started with S3](https:\/\/signin.aws.amazon.com\/signup?request_type=register&refid=de3518c5-eb66-4ef5-ab94-ec69c34b86df)\n\n[Explore the S3 evolution](https:\/\/aws.amazon.com\/blogs\/aws\/twenty-years-of-amazon-s3-and-building-whats-next\/)\n\n## What is Amazon S3?\nAmazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Millions of customers of all sizes and industries store, manage, analyze, and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps. With cost-effective storage classes and easy-to-use management features, you can optimize costs, organize and analyze data, and configure fine-tuned access controls to meet specific business and compliance requirements.\n\nPlay\n\n![](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/government-education\/approved\/S3%20youtube%20video%20thumbnail.e4b7f44a59371e0dc7813fb026db24426eecee07.jpg)\n\nVideo Player is loading.\n\nPlay Video\n\nPlay\n\nSkip Backward\n\nSkip Forward\n\nMute\n\nCurrent Time 0:00\n\n\/\n\nDuration 1:31\n\nLoaded: 0\\.00%\n\n0:00\n\nStream Type LIVE\n\nSeek to live, currently behind liveLIVE\n\nRemaining Time \\-1:31\n\n1x\n\nPlayback Rate\n\nChapters\n\n- Chapters\n\nDescriptions\n\n- descriptions off, selected\n\nCaptions\n\n- captions settings, opens captions settings dialog\n- captions off, selected\n\nAudio Track\n\nPicture-in-Picture\n\nFullscreen\n\nThis is a modal window.\n\nBeginning of dialog window. Escape will cancel and close the window.\n\nText\n\nColor\n\nOpacity\n\nText Background\n\nColor\n\nOpacity\n\nCaption Area Background\n\nColor\n\nOpacity\n\nFont Size\n\nText Edge Style\n\nFont Family\n\nReset\n\nDone\n\nClose Modal Dialog\n\nEnd of dialog window.\n\n## Benefits\n### Scalability\n### Durability and availability\n### Security and data protection\n### Lowest price and highest performance\n\n## Amazon S3: 20 launches that defined 20 years of storage innovation\nExplore key S3 launches across architecture, storage classes, security, and management that transformed how customers store, analyze, and build with data.[Learn more](https:\/\/pages.awscloud.com\/rs\/112-TZM-766\/images\/s3-pi-day-infographic.pdf?trk=3d8bf5fb-015a-4ef5-b464-94865ec00081&sc_channel=el)\n\n## Durable storage at scale\nAmazon S3 launched on Pi Day, March 14, 2006, as the first generally available AWS service. Amazon S3 gave developers something new: a simple, durable, and secure-by-default way to store virtually unlimited data, from anywhere, at any time. Twenty years later, S3 stores hundreds of exabytes of data and more than 500 trillion objects and serves millions of customers worldwide.\n\nAs data accumulated faster than enterprises could afford to keep it, S3 Glacier became the cloud on-ramp for financial services, healthcare, and media. S3 Glacier Deep Archive pushed costs lower still, and S3 Glacier Instant Retrieval modernized archival storage by combining archive pricing with instant access.\n\nPlay\n\n![](https:\/\/img.youtube.com\/vi\/XmytPmyzDcs\/0.jpg)\n\nVideo Player is loading.\n\nPlay Video\n\nPlay\n\nSkip Backward\n\nSkip Forward\n\nMute\n\nCurrent Time 0:00\n\n\/\n\nDuration 21:26\n\nLoaded: 0\\.00%\n\n00:00\n\nStream Type LIVE\n\nSeek to live, currently behind liveLIVE\n\nRemaining Time \\-21:26\n\n1x\n\nPlayback Rate\n\nChapters\n\n- Chapters\n\nDescriptions\n\n- descriptions off, selected\n\nCaptions\n\n- captions settings, opens captions settings dialog\n- captions off, selected\n\nAudio Track\n\nPicture-in-Picture\n\nFullscreen\n\nThis is a modal window.\n\nBeginning of dialog window. Escape will cancel and close the window.\n\nText\n\nColor\n\nOpacity\n\nText Background\n\nColor\n\nOpacity\n\nCaption Area Background\n\nColor\n\nOpacity\n\nFont Size\n\nText Edge Style\n\nFont Family\n\nReset\n\nDone\n\nClose Modal Dialog\n\nEnd of dialog window.\n\n## Data foundation for AI\nS3 became the foundation of modern data lakes, enabling any organization to centralize structured and unstructured data, run analytics, and build applications without managing complex infrastructure. S3 Intelligent-Tiering rewrote the economics of storage, saving S3 customers more than \\$6 billion. S3 didn't just scale with industry shifts—it helped accelerate them.\n\nAs AI training and generative AI raised the bar for what storage needed to deliver, S3 evolved. S3 Express One Zone is the fastest cloud object storage class, S3 Tables deliver native Apache Iceberg support, and S3 Vectors provides native vector storage and query for AI applications.\n\nWhat began as storage for the internet is now the data foundation the world runs on.\n\nPlay\n\n![](https:\/\/img.youtube.com\/vi\/KG1joUiZQ3U\/maxresdefault.jpg)\n\nVideo Player is loading.\n\nPlay Video\n\nPlay\n\nSkip Backward\n\nSkip Forward\n\nMute\n\nCurrent Time 0:00\n\n\/\n\nDuration 1:48\n\nLoaded: 0\\.00%\n\n0:00\n\nStream Type LIVE\n\nSeek to live, currently behind liveLIVE\n\nRemaining Time \\-1:48\n\n1x\n\nPlayback Rate\n\nChapters\n\n- Chapters\n\nDescriptions\n\n- descriptions off, selected\n\nCaptions\n\n- captions settings, opens captions settings dialog\n- captions off, selected\n\nAudio Track\n\nPicture-in-Picture\n\nFullscreen\n\nThis is a modal window.\n\nBeginning of dialog window. Escape will cancel and close the window.\n\nText\n\nColor\n\nOpacity\n\nText Background\n\nColor\n\nOpacity\n\nCaption Area Background\n\nColor\n\nOpacity\n\nFont Size\n\nText Edge Style\n\nFont Family\n\nReset\n\nDone\n\nClose Modal Dialog\n\nEnd of dialog window.\n\n## Amazon S3 today\n500T+\n\nobjects and hundreds of exabytes of data\n\n200M+\n\nrequests per second on average\n\n300B+\n\nevent notifications sent to serverless applications daily\n\n\\$6B+\n\nsaved in storage costs with S3 Intelligent-Tiering\n\n## Use cases\n- Data lakes\n- High performance workloads\n- AI\n- Semantic search\n- Stronger data protection\n\n### Build an open data architecture for analytics and AI\nMore than 1,000,000 data lakes run on AWS. Whether you’re building a data lake or lakehouse architecture, Amazon S3 provides the ideal foundation for petabyte-scale analytics and AI workloads because of its unmatched durability, availability, scalability, security, and price performance. S3 supports open table formats like Apache Iceberg, allowing you to run queries directly against a single, reliable copy of data using your preferred AWS or third-party analytics engine. For a fully managed experience, S3 Tables automatically handles compaction, snapshot management, and file cleanup of Apache Iceberg tables, reducing the operational burden of managing a data lakehouse and scaling performance as your data volumes grow.\n\n[Learn about Amazon S3 Tables](https:\/\/aws.amazon.com\/s3\/features\/tables\/)\n\n![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/training\/approved\/images\/aci\/AWS_Illustration_RGB_Flat_Data-Analytics_1.33e5f93a22c293b831acecd9ee5afbe2c00ff21b.png)\n\n### Accelerate performance-critical applications\nBuilding on the scale and durability of Amazon S3, the S3 Express One Zone storage class accelerates performance-intensive workloads with consistent single-digit millisecond latency and up to 10x faster data access than the S3 Standard storage class. It’s ideal for high-throughput workloads such as AI training and inference, real-time analytics, media processing, and interactive applications. As the fastest cloud object storage, S3 Express One Zone delivers faster access to the most frequently accessed dataset, improves compute efficiency, and lowers API request costs, reducing the total cost of ownership for the most demanding workloads.\n\n[Learn about Amazon S3 Express One Zone](https:\/\/aws.amazon.com\/s3\/storage-classes\/express-one-zone\/)\n\n![Flow](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/perscriptive-guidance\/approved\/apg-home\/AWS_Illustration_RGB_Flat_Data-Transit_1.a13f9606ec3d8b96b0819a252f1e9975c6a1a09e.png)\n\n### Scale and differentiate generative AI and agentic applications\nBuild generative AI and agentic applications on Amazon S3, the durable and scalable foundation for your data. Access diverse data types at scale—including unstructured, structured, streaming, and vector data—to train, fine-tune, and customize models or improve contextual understanding through RAG. With direct integrations across AWS analytics and AI\/ML services, S3 accelerates the path from data to intelligence without managing complex infrastructure.\n\nS3 simplifies data pipelines, protects critical information with security by default, and delivers cost-efficient scalability so you can support evolving AI workloads. Whether you’re developing domain-specific assistants, intelligent agents, or personalized generative AI experiences, S3 provides the trusted data foundation to build, customize, and deploy quickly and efficiently.\n\n[Read the Grendene case study](https:\/\/aws.amazon.com\/solutions\/case-studies\/grendene-case-study\/)\n\n![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/training\/approved\/images\/aci\/AWS_Illustration_RGB_Flat_Culture_2.78b672c47c32eaaf5d1499665e9b2388b934418b.png)\n\n### Optimize vector stroage and query costs for AI and semantic search\nSemantic search enables AI applications to understand the meaning and context of data by using vector embeddings to represent relationships across content such as documents, images, and videos. Amazon S3 Vectors brings native vector support to S3, allowing you to store and query vectors alongside your source data in a fully serverless architecture. By reducing the cost of storing and querying vectors by up to 90% while maintaining subsecond query performance, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as conduct semantic search results of your S3 data. With S3 Vectors, developers can get started quickly, reduce operational complexity, and scale vector-driven semantic search and AI workloads efficiently on a durable, trusted foundation.\n\n[Learn about Amazon S3 Vectors](https:\/\/aws.amazon.com\/s3\/features\/vectors\/)\n\n![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/training\/approved\/images\/aci\/AWS_Illustration_RGB_Flat_Growth_3.3e49120b52aa4d6b615491de6d120431f204cd11.png)\n\n### Back up, restore, and archive data while meeting compliance requirements\nMeet your recovery time objective (RTO), recovery point objective (RPO), and compliance requirements with the robust replication functionality of S3, data protection with AWS Backup, and various AWS Partner Network solutions. For cost-optimized, long-term data storage, archive data using Amazon S3 Glacier storage classes to lower costs, eliminate operational complexities, and gain new insights.\n\n[Learn about the Amazon S3 Glacier storage classes](https:\/\/aws.amazon.com\/s3\/storage-classes\/glacier\/)\n\n![Data transfer](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/perscriptive-guidance\/approved\/migration-tools\/AWS_Illustration_RGB_Flat_Agility_1.aaa7fbe4e401e0bf1f4f04743bb911c53771bdd2.png)\n\n## Customers\n1 \/ 5\n\n[![The BBC logo displayed in black letters on a white background.](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/solution-case-studies\/approved\/images\/5fjux2zu-BBC-White.14c15ab043426321425bbe2546b81b69a8289791.png) The BBC preserves 100 years of history using Amazon S3 Read the case study](https:\/\/aws.amazon.com\/solutions\/case-studies\/bbc-s3-case-study\/)\n\n[![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/government-education\/approved\/adobe%20logo.a2fefcbb0cdb17727c502063ee2f6ce7a5119b92.png) Adobe's journey to generative AI leadership using AWS Read the case study](https:\/\/aws.amazon.com\/solutions\/case-studies\/adobe-case-study\/)\n\n[![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/government-education\/approved\/indeed%20white%20logo.a44fc6a49c87bf44c1ed644f12528220af816130.png) Indeed simplifies data governance and boosts developer productivity with Amazon S3 Tables Watch the video to learn more](https:\/\/www.youtube.com\/watch?v=_IHHupkoCWc)\n\n[![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/government-education\/approved\/GE-Healthcare_White_Logo__original.50662a2124b653b2cf60da6511ed0af65c430fee.png) GE HealthCare launches Health Cloud on AWS, improving collaboration and patient outcomes Read the case study](https:\/\/aws.amazon.com\/solutions\/case-studies\/ge-healthcare\/)\n\n[![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/government-education\/approved\/twelve%20labs%20white%20logo.14d56253dd40642bf24fb913cafe17e00900e835.png) Seeing is understanding: TwelveLabs unlocks the full potential of video for the world Read the case study](https:\/\/aws.amazon.com\/solutions\/case-studies\/twelvelabs-case-study\/)\n\n## Get started\n[FAQs Amazon S3 FAQs Learn more](https:\/\/aws.amazon.com\/s3\/faqs\/)\n\n[Getting started Get started with Amazon S3 Start building](https:\/\/aws.amazon.com\/s3\/getting-started\/)\n\n[Free tier Get started with Amazon S3 with AWS Free Tier Sign up](https:\/\/aws.amazon.com\/s3\/pricing\/?loc=ft#AWS_Free_Tier)\n\n[Features page Amazon S3 features Learn more](https:\/\/aws.amazon.com\/s3\/features\/)\n\n## Did you find what you were looking for today?\nLet us know so we can improve the quality of the content on our pages\n\nYes\n\nNo\n\n[Create an AWS account](https:\/\/signin.aws.amazon.com\/signup?request_type=register)\n\n## Learn\n- [What Is AWS?](https:\/\/aws.amazon.com\/what-is-aws\/?nc1=f_cc)\n- [What Is Cloud Computing?](https:\/\/aws.amazon.com\/what-is-cloud-computing\/?nc1=f_cc)\n- [What Is Agentic AI?](https:\/\/aws.amazon.com\/what-is\/agentic-ai\/?nc1=f_cc)\n- [Cloud Computing Concepts Hub](https:\/\/aws.amazon.com\/what-is\/?nc1=f_cc)\n- [AWS Cloud Security](https:\/\/aws.amazon.com\/security\/?nc1=f_cc)\n- [What's New](https:\/\/aws.amazon.com\/new\/?nc1=f_cc)\n- [Blogs](https:\/\/aws.amazon.com\/blogs\/?nc1=f_cc)\n- [Press Releases](https:\/\/press.aboutamazon.com\/press-releases\/aws)\n\n## Resources\n- [Getting Started](https:\/\/aws.amazon.com\/getting-started\/?nc1=f_cc)\n- [Training](https:\/\/aws.amazon.com\/training\/?nc1=f_cc)\n- [AWS Trust Center](https:\/\/aws.amazon.com\/trust-center\/?nc1=f_cc)\n- [AWS Solutions 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Preferences](https:\/\/aws.amazon.com\/s3\/)\n\n© 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved.","attrs_readable_markdown":"[Products](https:\/\/aws.amazon.com\/products\/) [Storage](https:\/\/aws.amazon.com\/products\/storage\/) Amazon S3 Amazon S3: 20 years of building what’s next From storage for the internet to the data foundation for AI and analytics, Amazon S3 scales and evolves with your ambition\n\n## What is Amazon S3?\nAmazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Millions of customers of all sizes and industries store, manage, analyze, and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps. With cost-effective storage classes and easy-to-use management features, you can optimize costs, organize and analyze data, and configure fine-tuned access controls to meet specific business and compliance requirements.\n\n![](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/government-education\/approved\/S3%20youtube%20video%20thumbnail.e4b7f44a59371e0dc7813fb026db24426eecee07.jpg)\n\nVideo Player is loading.\n\nCurrent Time 0:00\n\nDuration 1:31\n\nLoaded: 0\\.00%\n\nRemaining Time 1:31\n\n## Amazon S3: 20 launches that defined 20 years of storage innovation\nExplore key S3 launches across architecture, storage classes, security, and management that transformed how customers store, analyze, and build with data.[Learn more](https:\/\/pages.awscloud.com\/rs\/112-TZM-766\/images\/s3-pi-day-infographic.pdf?trk=3d8bf5fb-015a-4ef5-b464-94865ec00081&sc_channel=el)\n\n## Durable storage at scale\nAmazon S3 launched on Pi Day, March 14, 2006, as the first generally available AWS service. Amazon S3 gave developers something new: a simple, durable, and secure-by-default way to store virtually unlimited data, from anywhere, at any time. Twenty years later, S3 stores hundreds of exabytes of data and more than 500 trillion objects and serves millions of customers worldwide.\n\nAs data accumulated faster than enterprises could afford to keep it, S3 Glacier became the cloud on-ramp for financial services, healthcare, and media. S3 Glacier Deep Archive pushed costs lower still, and S3 Glacier Instant Retrieval modernized archival storage by combining archive pricing with instant access.\n\n![](https:\/\/img.youtube.com\/vi\/XmytPmyzDcs\/0.jpg)\n\nVideo Player is loading.\n\nCurrent Time 0:00\n\nDuration 21:26\n\nLoaded: 0\\.00%\n\nRemaining Time 21:26\n\n## Data foundation for AI\nS3 became the foundation of modern data lakes, enabling any organization to centralize structured and unstructured data, run analytics, and build applications without managing complex infrastructure. S3 Intelligent-Tiering rewrote the economics of storage, saving S3 customers more than \\$6 billion. S3 didn't just scale with industry shifts—it helped accelerate them.\n\nAs AI training and generative AI raised the bar for what storage needed to deliver, S3 evolved. S3 Express One Zone is the fastest cloud object storage class, S3 Tables deliver native Apache Iceberg support, and S3 Vectors provides native vector storage and query for AI applications.\n\nWhat began as storage for the internet is now the data foundation the world runs on.\n\n![](https:\/\/img.youtube.com\/vi\/KG1joUiZQ3U\/maxresdefault.jpg)\n\nVideo Player is loading.\n\nCurrent Time 0:00\n\nDuration 1:48\n\nLoaded: 0\\.00%\n\nRemaining Time 1:48\n\nAmazon S3 today\n\n500T+\n\nobjects and hundreds of exabytes of data\n\n200M+\n\nrequests per second on average\n\n300B+\n\nevent notifications sent to serverless applications daily\n\n\\$6B+\n\nsaved in storage costs with S3 Intelligent-Tiering\n\nUse cases\n\n### Build an open data architecture for analytics and AI\nMore than 1,000,000 data lakes run on AWS. Whether you’re building a data lake or lakehouse architecture, Amazon S3 provides the ideal foundation for petabyte-scale analytics and AI workloads because of its unmatched durability, availability, scalability, security, and price performance. S3 supports open table formats like Apache Iceberg, allowing you to run queries directly against a single, reliable copy of data using your preferred AWS or third-party analytics engine. For a fully managed experience, S3 Tables automatically handles compaction, snapshot management, and file cleanup of Apache Iceberg tables, reducing the operational burden of managing a data lakehouse and scaling performance as your data volumes grow.\n\n![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/training\/approved\/images\/aci\/AWS_Illustration_RGB_Flat_Data-Analytics_1.33e5f93a22c293b831acecd9ee5afbe2c00ff21b.png)\n\n### Accelerate performance-critical applications\nBuilding on the scale and durability of Amazon S3, the S3 Express One Zone storage class accelerates performance-intensive workloads with consistent single-digit millisecond latency and up to 10x faster data access than the S3 Standard storage class. It’s ideal for high-throughput workloads such as AI training and inference, real-time analytics, media processing, and interactive applications. As the fastest cloud object storage, S3 Express One Zone delivers faster access to the most frequently accessed dataset, improves compute efficiency, and lowers API request costs, reducing the total cost of ownership for the most demanding workloads.\n\n![Flow](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/perscriptive-guidance\/approved\/apg-home\/AWS_Illustration_RGB_Flat_Data-Transit_1.a13f9606ec3d8b96b0819a252f1e9975c6a1a09e.png)\n\n### Scale and differentiate generative AI and agentic applications\nBuild generative AI and agentic applications on Amazon S3, the durable and scalable foundation for your data. Access diverse data types at scale—including unstructured, structured, streaming, and vector data—to train, fine-tune, and customize models or improve contextual understanding through RAG. With direct integrations across AWS analytics and AI\/ML services, S3 accelerates the path from data to intelligence without managing complex infrastructure.\n\nS3 simplifies data pipelines, protects critical information with security by default, and delivers cost-efficient scalability so you can support evolving AI workloads. Whether you’re developing domain-specific assistants, intelligent agents, or personalized generative AI experiences, S3 provides the trusted data foundation to build, customize, and deploy quickly and efficiently.\n\n![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/training\/approved\/images\/aci\/AWS_Illustration_RGB_Flat_Culture_2.78b672c47c32eaaf5d1499665e9b2388b934418b.png)\n\n### Optimize vector stroage and query costs for AI and semantic search\nSemantic search enables AI applications to understand the meaning and context of data by using vector embeddings to represent relationships across content such as documents, images, and videos. Amazon S3 Vectors brings native vector support to S3, allowing you to store and query vectors alongside your source data in a fully serverless architecture. By reducing the cost of storing and querying vectors by up to 90% while maintaining subsecond query performance, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as conduct semantic search results of your S3 data. With S3 Vectors, developers can get started quickly, reduce operational complexity, and scale vector-driven semantic search and AI workloads efficiently on a durable, trusted foundation.\n\n![Missing alt text value](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/training\/approved\/images\/aci\/AWS_Illustration_RGB_Flat_Growth_3.3e49120b52aa4d6b615491de6d120431f204cd11.png)\n\n### Back up, restore, and archive data while meeting compliance requirements\nMeet your recovery time objective (RTO), recovery point objective (RPO), and compliance requirements with the robust replication functionality of S3, data protection with AWS Backup, and various AWS Partner Network solutions. For cost-optimized, long-term data storage, archive data using Amazon S3 Glacier storage classes to lower costs, eliminate operational complexities, and gain new insights.\n\n![Data transfer](https:\/\/d1.awsstatic.com\/onedam\/marketing-channels\/website\/aws\/en_US\/perscriptive-guidance\/approved\/migration-tools\/AWS_Illustration_RGB_Flat_Agility_1.aaa7fbe4e401e0bf1f4f04743bb911c53771bdd2.png)\n\nCustomers\n\nGet started","meta_canonical":null}

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Meta Title	Cloud Object Storage – Amazon S3 – Amazon Web Services
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Boilerpipe Text	Products Storage Amazon S3 Amazon S3: 20 years of building what’s next From storage for the internet to the data foundation for AI and analytics, Amazon S3 scales and evolves with your ambition What is Amazon S3? Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Millions of customers of all sizes and industries store, manage, analyze, and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps. With cost-effective storage classes and easy-to-use management features, you can optimize costs, organize and analyze data, and configure fine-tuned access controls to meet specific business and compliance requirements. Video Player is loading. Current Time 0:00 Duration 1:31 Loaded : 0.00% Remaining Time 1:31 Amazon S3: 20 launches that defined 20 years of storage innovation Explore key S3 launches across architecture, storage classes, security, and management that transformed how customers store, analyze, and build with data. Learn more Durable storage at scale Amazon S3 launched on Pi Day, March 14, 2006, as the first generally available AWS service. Amazon S3 gave developers something new: a simple, durable, and secure-by-default way to store virtually unlimited data, from anywhere, at any time. Twenty years later, S3 stores hundreds of exabytes of data and more than 500 trillion objects and serves millions of customers worldwide. As data accumulated faster than enterprises could afford to keep it, S3 Glacier became the cloud on-ramp for financial services, healthcare, and media. S3 Glacier Deep Archive pushed costs lower still, and S3 Glacier Instant Retrieval modernized archival storage by combining archive pricing with instant access. Video Player is loading. Current Time 0:00 Duration 21:26 Loaded : 0.00% Remaining Time 21:26 Data foundation for AI S3 became the foundation of modern data lakes, enabling any organization to centralize structured and unstructured data, run analytics, and build applications without managing complex infrastructure. S3 Intelligent-Tiering rewrote the economics of storage, saving S3 customers more than $6 billion. S3 didn't just scale with industry shifts—it helped accelerate them. As AI training and generative AI raised the bar for what storage needed to deliver, S3 evolved. S3 Express One Zone is the fastest cloud object storage class, S3 Tables deliver native Apache Iceberg support, and S3 Vectors provides native vector storage and query for AI applications. What began as storage for the internet is now the data foundation the world runs on. Video Player is loading. Current Time 0:00 Duration 1:48 Loaded : 0.00% Remaining Time 1:48 Amazon S3 today 500T+ objects and hundreds of exabytes of data 200M+ requests per second on average 300B+ event notifications sent to serverless applications daily $6B+ saved in storage costs with S3 Intelligent-Tiering Use cases Build an open data architecture for analytics and AI More than 1,000,000 data lakes run on AWS. Whether you’re building a data lake or lakehouse architecture, Amazon S3 provides the ideal foundation for petabyte-scale analytics and AI workloads because of its unmatched durability, availability, scalability, security, and price performance. S3 supports open table formats like Apache Iceberg, allowing you to run queries directly against a single, reliable copy of data using your preferred AWS or third-party analytics engine. For a fully managed experience, S3 Tables automatically handles compaction, snapshot management, and file cleanup of Apache Iceberg tables, reducing the operational burden of managing a data lakehouse and scaling performance as your data volumes grow. Accelerate performance-critical applications Building on the scale and durability of Amazon S3, the S3 Express One Zone storage class accelerates performance-intensive workloads with consistent single-digit millisecond latency and up to 10x faster data access than the S3 Standard storage class. It’s ideal for high-throughput workloads such as AI training and inference, real-time analytics, media processing, and interactive applications. As the fastest cloud object storage, S3 Express One Zone delivers faster access to the most frequently accessed dataset, improves compute efficiency, and lowers API request costs, reducing the total cost of ownership for the most demanding workloads. Scale and differentiate generative AI and agentic applications Build generative AI and agentic applications on Amazon S3, the durable and scalable foundation for your data. Access diverse data types at scale—including unstructured, structured, streaming, and vector data—to train, fine-tune, and customize models or improve contextual understanding through RAG. With direct integrations across AWS analytics and AI/ML services, S3 accelerates the path from data to intelligence without managing complex infrastructure. S3 simplifies data pipelines, protects critical information with security by default, and delivers cost-efficient scalability so you can support evolving AI workloads. Whether you’re developing domain-specific assistants, intelligent agents, or personalized generative AI experiences, S3 provides the trusted data foundation to build, customize, and deploy quickly and efficiently. Optimize vector stroage and query costs for AI and semantic search Semantic search enables AI applications to understand the meaning and context of data by using vector embeddings to represent relationships across content such as documents, images, and videos. Amazon S3 Vectors brings native vector support to S3, allowing you to store and query vectors alongside your source data in a fully serverless architecture. By reducing the cost of storing and querying vectors by up to 90% while maintaining subsecond query performance, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as conduct semantic search results of your S3 data. With S3 Vectors, developers can get started quickly, reduce operational complexity, and scale vector-driven semantic search and AI workloads efficiently on a durable, trusted foundation. Back up, restore, and archive data while meeting compliance requirements Meet your recovery time objective (RTO), recovery point objective (RPO), and compliance requirements with the robust replication functionality of S3, data protection with AWS Backup, and various AWS Partner Network solutions. For cost-optimized, long-term data storage, archive data using Amazon S3 Glacier storage classes to lower costs, eliminate operational complexities, and gain new insights. Customers Get started
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Dismiss [Skip to main content](https://aws.amazon.com/s3/#aws-page-content-main) - Filter: All - English - [Contact us](https://aws.amazon.com/contact-us/?nc2=h_ut_cu) - [AWS Marketplace](https://aws.amazon.com/marketplace?nc2=h_utmp) - Support - My account - Discover AWS - Products - Solutions - More - Search Filter: All - [Sign in to console](https://console.aws.amazon.com/console/home/?nc2=h_si&src=header-signin) - [Create account](https://signin.aws.amazon.com/signup?request_type=register) Amazon S3 - [Overview](https://aws.amazon.com/s3/?nc=sn&loc=1) - Features - Storage classes - [Pricing](https://aws.amazon.com/s3/pricing/?nc=sn&loc=4) - [Security](https://aws.amazon.com/s3/security/?nc=sn&loc=5) - More - [Products](https://aws.amazon.com/products/) - [Storage](https://aws.amazon.com/products/storage/) - Amazon S3 # Amazon S3: 20 years of building what’s next From storage for the internet to the data foundation for AI and analytics, Amazon S3 scales and evolves with your ambition [Get started with S3](https://signin.aws.amazon.com/signup?request_type=register&refid=de3518c5-eb66-4ef5-ab94-ec69c34b86df) [Explore the S3 evolution](https://aws.amazon.com/blogs/aws/twenty-years-of-amazon-s3-and-building-whats-next/) ## What is Amazon S3? Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Millions of customers of all sizes and industries store, manage, analyze, and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps. With cost-effective storage classes and easy-to-use management features, you can optimize costs, organize and analyze data, and configure fine-tuned access controls to meet specific business and compliance requirements. Play ![](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/government-education/approved/S3%20youtube%20video%20thumbnail.e4b7f44a59371e0dc7813fb026db24426eecee07.jpg) Video Player is loading. Play Video Play Skip Backward Skip Forward Mute Current Time 0:00 / Duration 1:31 Loaded: 0\.00% 0:00 Stream Type LIVE Seek to live, currently behind liveLIVE Remaining Time \-1:31 1x Playback Rate Chapters - Chapters Descriptions - descriptions off, selected Captions - captions settings, opens captions settings dialog - captions off, selected Audio Track Picture-in-Picture Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color Opacity Text Background Color Opacity Caption Area Background Color Opacity Font Size Text Edge Style Font Family Reset Done Close Modal Dialog End of dialog window. ## Benefits ### Scalability ### Durability and availability ### Security and data protection ### Lowest price and highest performance ## Amazon S3: 20 launches that defined 20 years of storage innovation Explore key S3 launches across architecture, storage classes, security, and management that transformed how customers store, analyze, and build with data.[Learn more](https://pages.awscloud.com/rs/112-TZM-766/images/s3-pi-day-infographic.pdf?trk=3d8bf5fb-015a-4ef5-b464-94865ec00081&sc_channel=el) ## Durable storage at scale Amazon S3 launched on Pi Day, March 14, 2006, as the first generally available AWS service. Amazon S3 gave developers something new: a simple, durable, and secure-by-default way to store virtually unlimited data, from anywhere, at any time. Twenty years later, S3 stores hundreds of exabytes of data and more than 500 trillion objects and serves millions of customers worldwide. As data accumulated faster than enterprises could afford to keep it, S3 Glacier became the cloud on-ramp for financial services, healthcare, and media. S3 Glacier Deep Archive pushed costs lower still, and S3 Glacier Instant Retrieval modernized archival storage by combining archive pricing with instant access. Play ![](https://img.youtube.com/vi/XmytPmyzDcs/0.jpg) Video Player is loading. Play Video Play Skip Backward Skip Forward Mute Current Time 0:00 / Duration 21:26 Loaded: 0\.00% 00:00 Stream Type LIVE Seek to live, currently behind liveLIVE Remaining Time \-21:26 1x Playback Rate Chapters - Chapters Descriptions - descriptions off, selected Captions - captions settings, opens captions settings dialog - captions off, selected Audio Track Picture-in-Picture Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color Opacity Text Background Color Opacity Caption Area Background Color Opacity Font Size Text Edge Style Font Family Reset Done Close Modal Dialog End of dialog window. ## Data foundation for AI S3 became the foundation of modern data lakes, enabling any organization to centralize structured and unstructured data, run analytics, and build applications without managing complex infrastructure. S3 Intelligent-Tiering rewrote the economics of storage, saving S3 customers more than \$6 billion. S3 didn't just scale with industry shifts—it helped accelerate them. As AI training and generative AI raised the bar for what storage needed to deliver, S3 evolved. S3 Express One Zone is the fastest cloud object storage class, S3 Tables deliver native Apache Iceberg support, and S3 Vectors provides native vector storage and query for AI applications. What began as storage for the internet is now the data foundation the world runs on. Play ![](https://img.youtube.com/vi/KG1joUiZQ3U/maxresdefault.jpg) Video Player is loading. Play Video Play Skip Backward Skip Forward Mute Current Time 0:00 / Duration 1:48 Loaded: 0\.00% 0:00 Stream Type LIVE Seek to live, currently behind liveLIVE Remaining Time \-1:48 1x Playback Rate Chapters - Chapters Descriptions - descriptions off, selected Captions - captions settings, opens captions settings dialog - captions off, selected Audio Track Picture-in-Picture Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color Opacity Text Background Color Opacity Caption Area Background Color Opacity Font Size Text Edge Style Font Family Reset Done Close Modal Dialog End of dialog window. ## Amazon S3 today 500T+ objects and hundreds of exabytes of data 200M+ requests per second on average 300B+ event notifications sent to serverless applications daily \$6B+ saved in storage costs with S3 Intelligent-Tiering ## Use cases - Data lakes - High performance workloads - AI - Semantic search - Stronger data protection ### Build an open data architecture for analytics and AI More than 1,000,000 data lakes run on AWS. Whether you’re building a data lake or lakehouse architecture, Amazon S3 provides the ideal foundation for petabyte-scale analytics and AI workloads because of its unmatched durability, availability, scalability, security, and price performance. S3 supports open table formats like Apache Iceberg, allowing you to run queries directly against a single, reliable copy of data using your preferred AWS or third-party analytics engine. For a fully managed experience, S3 Tables automatically handles compaction, snapshot management, and file cleanup of Apache Iceberg tables, reducing the operational burden of managing a data lakehouse and scaling performance as your data volumes grow. [Learn about Amazon S3 Tables](https://aws.amazon.com/s3/features/tables/) ![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/training/approved/images/aci/AWS_Illustration_RGB_Flat_Data-Analytics_1.33e5f93a22c293b831acecd9ee5afbe2c00ff21b.png) ### Accelerate performance-critical applications Building on the scale and durability of Amazon S3, the S3 Express One Zone storage class accelerates performance-intensive workloads with consistent single-digit millisecond latency and up to 10x faster data access than the S3 Standard storage class. It’s ideal for high-throughput workloads such as AI training and inference, real-time analytics, media processing, and interactive applications. As the fastest cloud object storage, S3 Express One Zone delivers faster access to the most frequently accessed dataset, improves compute efficiency, and lowers API request costs, reducing the total cost of ownership for the most demanding workloads. [Learn about Amazon S3 Express One Zone](https://aws.amazon.com/s3/storage-classes/express-one-zone/) ![Flow](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/perscriptive-guidance/approved/apg-home/AWS_Illustration_RGB_Flat_Data-Transit_1.a13f9606ec3d8b96b0819a252f1e9975c6a1a09e.png) ### Scale and differentiate generative AI and agentic applications Build generative AI and agentic applications on Amazon S3, the durable and scalable foundation for your data. Access diverse data types at scale—including unstructured, structured, streaming, and vector data—to train, fine-tune, and customize models or improve contextual understanding through RAG. With direct integrations across AWS analytics and AI/ML services, S3 accelerates the path from data to intelligence without managing complex infrastructure. S3 simplifies data pipelines, protects critical information with security by default, and delivers cost-efficient scalability so you can support evolving AI workloads. Whether you’re developing domain-specific assistants, intelligent agents, or personalized generative AI experiences, S3 provides the trusted data foundation to build, customize, and deploy quickly and efficiently. [Read the Grendene case study](https://aws.amazon.com/solutions/case-studies/grendene-case-study/) ![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/training/approved/images/aci/AWS_Illustration_RGB_Flat_Culture_2.78b672c47c32eaaf5d1499665e9b2388b934418b.png) ### Optimize vector stroage and query costs for AI and semantic search Semantic search enables AI applications to understand the meaning and context of data by using vector embeddings to represent relationships across content such as documents, images, and videos. Amazon S3 Vectors brings native vector support to S3, allowing you to store and query vectors alongside your source data in a fully serverless architecture. By reducing the cost of storing and querying vectors by up to 90% while maintaining subsecond query performance, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as conduct semantic search results of your S3 data. With S3 Vectors, developers can get started quickly, reduce operational complexity, and scale vector-driven semantic search and AI workloads efficiently on a durable, trusted foundation. [Learn about Amazon S3 Vectors](https://aws.amazon.com/s3/features/vectors/) ![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/training/approved/images/aci/AWS_Illustration_RGB_Flat_Growth_3.3e49120b52aa4d6b615491de6d120431f204cd11.png) ### Back up, restore, and archive data while meeting compliance requirements Meet your recovery time objective (RTO), recovery point objective (RPO), and compliance requirements with the robust replication functionality of S3, data protection with AWS Backup, and various AWS Partner Network solutions. For cost-optimized, long-term data storage, archive data using Amazon S3 Glacier storage classes to lower costs, eliminate operational complexities, and gain new insights. [Learn about the Amazon S3 Glacier storage classes](https://aws.amazon.com/s3/storage-classes/glacier/) ![Data transfer](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/perscriptive-guidance/approved/migration-tools/AWS_Illustration_RGB_Flat_Agility_1.aaa7fbe4e401e0bf1f4f04743bb911c53771bdd2.png) ## Customers 1 / 5 [![The BBC logo displayed in black letters on a white background.](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/solution-case-studies/approved/images/5fjux2zu-BBC-White.14c15ab043426321425bbe2546b81b69a8289791.png) The BBC preserves 100 years of history using Amazon S3 Read the case study](https://aws.amazon.com/solutions/case-studies/bbc-s3-case-study/) [![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/government-education/approved/adobe%20logo.a2fefcbb0cdb17727c502063ee2f6ce7a5119b92.png) Adobe's journey to generative AI leadership using AWS Read the case study](https://aws.amazon.com/solutions/case-studies/adobe-case-study/) [![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/government-education/approved/indeed%20white%20logo.a44fc6a49c87bf44c1ed644f12528220af816130.png) Indeed simplifies data governance and boosts developer productivity with Amazon S3 Tables Watch the video to learn more](https://www.youtube.com/watch?v=_IHHupkoCWc) [![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/government-education/approved/GE-Healthcare_White_Logo__original.50662a2124b653b2cf60da6511ed0af65c430fee.png) GE HealthCare launches Health Cloud on AWS, improving collaboration and patient outcomes Read the case study](https://aws.amazon.com/solutions/case-studies/ge-healthcare/) [![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/government-education/approved/twelve%20labs%20white%20logo.14d56253dd40642bf24fb913cafe17e00900e835.png) Seeing is understanding: TwelveLabs unlocks the full potential of video for the world Read the case study](https://aws.amazon.com/solutions/case-studies/twelvelabs-case-study/) ## Get started [FAQs Amazon S3 FAQs Learn more](https://aws.amazon.com/s3/faqs/) [Getting started Get started with Amazon S3 Start building](https://aws.amazon.com/s3/getting-started/) [Free tier Get started with Amazon S3 with AWS Free Tier Sign up](https://aws.amazon.com/s3/pricing/?loc=ft#AWS_Free_Tier) [Features page Amazon S3 features Learn more](https://aws.amazon.com/s3/features/) ## Did you find what you were looking for today? 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Readable Markdown	[Products](https://aws.amazon.com/products/) [Storage](https://aws.amazon.com/products/storage/) Amazon S3 Amazon S3: 20 years of building what’s next From storage for the internet to the data foundation for AI and analytics, Amazon S3 scales and evolves with your ambition ## What is Amazon S3? Amazon Simple Storage Service (Amazon S3) is an object storage service offering industry-leading scalability, data availability, security, and performance. Millions of customers of all sizes and industries store, manage, analyze, and protect any amount of data for virtually any use case, such as data lakes, cloud-native applications, and mobile apps. With cost-effective storage classes and easy-to-use management features, you can optimize costs, organize and analyze data, and configure fine-tuned access controls to meet specific business and compliance requirements. ![](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/government-education/approved/S3%20youtube%20video%20thumbnail.e4b7f44a59371e0dc7813fb026db24426eecee07.jpg) Video Player is loading. Current Time 0:00 Duration 1:31 Loaded: 0\.00% Remaining Time 1:31 ## Amazon S3: 20 launches that defined 20 years of storage innovation Explore key S3 launches across architecture, storage classes, security, and management that transformed how customers store, analyze, and build with data.[Learn more](https://pages.awscloud.com/rs/112-TZM-766/images/s3-pi-day-infographic.pdf?trk=3d8bf5fb-015a-4ef5-b464-94865ec00081&sc_channel=el) ## Durable storage at scale Amazon S3 launched on Pi Day, March 14, 2006, as the first generally available AWS service. Amazon S3 gave developers something new: a simple, durable, and secure-by-default way to store virtually unlimited data, from anywhere, at any time. Twenty years later, S3 stores hundreds of exabytes of data and more than 500 trillion objects and serves millions of customers worldwide. As data accumulated faster than enterprises could afford to keep it, S3 Glacier became the cloud on-ramp for financial services, healthcare, and media. S3 Glacier Deep Archive pushed costs lower still, and S3 Glacier Instant Retrieval modernized archival storage by combining archive pricing with instant access. ![](https://img.youtube.com/vi/XmytPmyzDcs/0.jpg) Video Player is loading. Current Time 0:00 Duration 21:26 Loaded: 0\.00% Remaining Time 21:26 ## Data foundation for AI S3 became the foundation of modern data lakes, enabling any organization to centralize structured and unstructured data, run analytics, and build applications without managing complex infrastructure. S3 Intelligent-Tiering rewrote the economics of storage, saving S3 customers more than \$6 billion. S3 didn't just scale with industry shifts—it helped accelerate them. As AI training and generative AI raised the bar for what storage needed to deliver, S3 evolved. S3 Express One Zone is the fastest cloud object storage class, S3 Tables deliver native Apache Iceberg support, and S3 Vectors provides native vector storage and query for AI applications. What began as storage for the internet is now the data foundation the world runs on. ![](https://img.youtube.com/vi/KG1joUiZQ3U/maxresdefault.jpg) Video Player is loading. Current Time 0:00 Duration 1:48 Loaded: 0\.00% Remaining Time 1:48 Amazon S3 today 500T+ objects and hundreds of exabytes of data 200M+ requests per second on average 300B+ event notifications sent to serverless applications daily \$6B+ saved in storage costs with S3 Intelligent-Tiering Use cases ### Build an open data architecture for analytics and AI More than 1,000,000 data lakes run on AWS. Whether you’re building a data lake or lakehouse architecture, Amazon S3 provides the ideal foundation for petabyte-scale analytics and AI workloads because of its unmatched durability, availability, scalability, security, and price performance. S3 supports open table formats like Apache Iceberg, allowing you to run queries directly against a single, reliable copy of data using your preferred AWS or third-party analytics engine. For a fully managed experience, S3 Tables automatically handles compaction, snapshot management, and file cleanup of Apache Iceberg tables, reducing the operational burden of managing a data lakehouse and scaling performance as your data volumes grow. ![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/training/approved/images/aci/AWS_Illustration_RGB_Flat_Data-Analytics_1.33e5f93a22c293b831acecd9ee5afbe2c00ff21b.png) ### Accelerate performance-critical applications Building on the scale and durability of Amazon S3, the S3 Express One Zone storage class accelerates performance-intensive workloads with consistent single-digit millisecond latency and up to 10x faster data access than the S3 Standard storage class. It’s ideal for high-throughput workloads such as AI training and inference, real-time analytics, media processing, and interactive applications. As the fastest cloud object storage, S3 Express One Zone delivers faster access to the most frequently accessed dataset, improves compute efficiency, and lowers API request costs, reducing the total cost of ownership for the most demanding workloads. ![Flow](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/perscriptive-guidance/approved/apg-home/AWS_Illustration_RGB_Flat_Data-Transit_1.a13f9606ec3d8b96b0819a252f1e9975c6a1a09e.png) ### Scale and differentiate generative AI and agentic applications Build generative AI and agentic applications on Amazon S3, the durable and scalable foundation for your data. Access diverse data types at scale—including unstructured, structured, streaming, and vector data—to train, fine-tune, and customize models or improve contextual understanding through RAG. With direct integrations across AWS analytics and AI/ML services, S3 accelerates the path from data to intelligence without managing complex infrastructure. S3 simplifies data pipelines, protects critical information with security by default, and delivers cost-efficient scalability so you can support evolving AI workloads. Whether you’re developing domain-specific assistants, intelligent agents, or personalized generative AI experiences, S3 provides the trusted data foundation to build, customize, and deploy quickly and efficiently. ![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/training/approved/images/aci/AWS_Illustration_RGB_Flat_Culture_2.78b672c47c32eaaf5d1499665e9b2388b934418b.png) ### Optimize vector stroage and query costs for AI and semantic search Semantic search enables AI applications to understand the meaning and context of data by using vector embeddings to represent relationships across content such as documents, images, and videos. Amazon S3 Vectors brings native vector support to S3, allowing you to store and query vectors alongside your source data in a fully serverless architecture. By reducing the cost of storing and querying vectors by up to 90% while maintaining subsecond query performance, S3 Vectors makes it cost-effective to create and use large vector datasets to improve the memory and context of AI agents as well as conduct semantic search results of your S3 data. With S3 Vectors, developers can get started quickly, reduce operational complexity, and scale vector-driven semantic search and AI workloads efficiently on a durable, trusted foundation. ![Missing alt text value](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/training/approved/images/aci/AWS_Illustration_RGB_Flat_Growth_3.3e49120b52aa4d6b615491de6d120431f204cd11.png) ### Back up, restore, and archive data while meeting compliance requirements Meet your recovery time objective (RTO), recovery point objective (RPO), and compliance requirements with the robust replication functionality of S3, data protection with AWS Backup, and various AWS Partner Network solutions. For cost-optimized, long-term data storage, archive data using Amazon S3 Glacier storage classes to lower costs, eliminate operational complexities, and gain new insights. ![Data transfer](https://d1.awsstatic.com/onedam/marketing-channels/website/aws/en_US/perscriptive-guidance/approved/migration-tools/AWS_Illustration_RGB_Flat_Agility_1.aaa7fbe4e401e0bf1f4f04743bb911c53771bdd2.png) Customers Get started
Shard	165 (laksa)
Root Hash	11387554747766093965
Unparsed URL	com,amazon!aws,/s3/ s443