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Accelerate your generative AI journey using your data on AWS

With AWS, you can build a data foundation to power all your generative AI use cases. From vector capabilities in AWS databases to enabling different customization techniques such as RAG, fine tuning and pretraining - AWS offers everything you need to build trusted and differentiated generative AI experiences using your own organizational data. AWS data and AI services give you unmatched security, availability, and the best price performance to support your generative AI ambition now, and in the future.

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Build a strong data foundation

Use the most comprehensive set of data capabilities with the best price performance for your use case from databases to storage to generative AI and more.

Quickly and easily connect and act on all of your data no matter where it lives with integrated data services and zero-ETL features.

Control where your data sits, who has access to it, and what can be done with it at every step of the data workflow.

Put your data to work

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Build your data foundation on AWS

  • AWS offers relational databases with unparalleled performance at 1/10th of the cost of enterprise grade commercial databases and 8 purpose-built database engines, each designed to provide optimal performance for the respective use cases so you never have to compromise. Explore Databases on AWS. 

  • With zero-ETL features, AWS makes it easy to connect and act on all of your data no matter where it lives. When ETL is required, generative AI in AWS Glue make it easier to do. AWS services connect to hundreds of data sources including SaaS, on-premises, and other clouds. Learn more about data integrations with AWS.

  • Hundreds of thousands of customers build data lakes on AWS with services like Amazon S3, AWS Glue and AWS Lake Formation. Amazon Redshift is a fast, petabyte-scale data warehouse delivering up to 6x better price performance than other cloud data warehouses. Explore building your data lakes and data warehouses on AWS.

  • AWS provides the broadest and deepest set of analytics services, including serverless options. From data movement, big data analytics, log analytics, and streaming analytics, AWS offers purpose-built services with the best price-performance, scalability, and lowest cost. Explore Analytics on AWS.

  • Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs) from leading AI companies like Anthropic, Cohere, Meta, Stability AI, Mistral, and Amazon along with tools to securely customize models with your data. To build your own machine learning models, Amazon SageMaker provides all the tools necessary to easily build, train, and deploy ML models at scale. Explore Machine Learning and AI on AWS.

  • With Amazon QuickSight and Amazon Q in QuickSight, business users can understand data by easily creating and exploring interactive dashboards, asking questions in natural language, or automatically looking for patterns and outliers—all powered by generative AI and machine learning. Amazon SageMaker Canvas gives business analysts the ability to generate accurate ML predictions without prior ML experience.

  • With AWS data services, including Amazon DataZone, you can catalog, discover, share, and govern data across the organization, so users can have secure data access when and where they need it. You can also build generative AI applications responsibly with Amazon Titan foundation models. Learn more about end-to-end data governance with AWS.

AWS data services diagram

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