Build a strong data foundation
Data is your generative AI differentiator
Discover how a data foundation built on AWS accelerates your adoption of generative AI.
Put your data to work
Build your data foundation on AWS
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Databases
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.
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Data Integration
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.
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Data lakes and data warehouses
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.
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Analytics
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.
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Generative AI and machine learning
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.
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Business intelligence
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.
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Data governance
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.