Build your end-to-end data strategy on AWS

• 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 uniquely designed to provide optimal performance for the respective use cases so you never have to compromise. Explore Databases on AWS. 

• Data integration

  AWS integrates services to minimize and eliminate the need for ETL. When ETL is required, AWS Glue makes it easier to do. AWS services connect to hundreds of data sources including SaaS, on-premises, and other clouds. Learn more about service integrations with Amazon Aurora zero-ETL integration with Amazon Redshift.
  

• Data lakes and data warehouses

  AWS has been helping customers build a strong foundation for data lakes and warehouses with services like Amazon S3, AWS Glue, AWS Lake Formation, and Amazon Redshift for years. Amazon S3 was built from the ground up to deliver 99.999999999% (11 nines) of durability and stores data for millions of applications for companies all around the world. Amazon Redshift is a fast, petabyte-scale data warehouse delivering up to 5x better price performance than other cloud data warehouses. Explore building your data lakes and data warehouses on AWS.
  

• Analytics for every use case

  AWS provides the broadest and deepest set of analytics services that fit all your data analytics needs. 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.
  

• Machine learning and AI services

  AWS provides the most comprehensive set of artificial intelligence and machine learning services to make it easier and faster to use data to drive innovation. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs). You can also use a wide range of services that allow you to add AI capabilities like image recognition, forecasting, and intelligent search to applications with a simple API call. 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.
  

• Business intelligence

  AWS offers tools for business users to understand data by easily creating and exploring interactive dashboards, asking questions in natural language without writing a single line of code, or automatically looking for patterns and outliers powered by ML. With Amazon SageMaker Canvas, business analysts can generate accurate ML predictions without prior ML experience. Learn more about business intelligence with Amazon QuickSight.
  

• End-to-end data governance

  AWS enables organizations to establish the right governance—one that lets you balance control and access—to empower users to access data when and where they need it. With AWS data services, you can catalog, discover, share, and govern data across the organization. Learn more about end-to-end data governance with Amazon DataZone.