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Fuel innovation with data and AI

Make better, faster decisions, leverage generative AI, and optimize your business with AWS

Innovate with the right tools for the job

Build a data strategy that grows with you using the most comprehensive set of data capabilities for any use case or business outcome.

Easily connect all your data

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

Govern data, end-to-end

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

Data is your generative AI differentiator

Discover how a data foundation built on AWS gives you a strategic advantage when it comes to generative AI.

Put your data to work

Want to do more with your data but not sure where to start? Explore the top data-driven use cases to improve business outcomes. 

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Make better, faster decisions

Foster a data-driven culture, democratize access to data and insights, and empower business users to make informed decisions with data easily.

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Improve customer experience and loyalty

Create a 360 degree customer view to better understand your customers better and offer hyper-personalized experiences.

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Build future-proof applications

Build intelligent and scalable applications on a modern data infrastructure so you can quickly evolve and innovate to support your growing data needs and customer demands.

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Reinvent your supply chain

Increase agility, get end-to-end visibility, and improve resiliency.

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Reduce fraud

Accurately detect and prevent online fraud to reduce revenue losses and provide a frictionless customer online experience while adapting to changing threat patterns.

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Optimize costs

Reduce the costs of putting your data to work while also leveraging AWS analytics, AI, and ML to uncover new cost-savings opportunities.

6 Essential Data-Driven Use Cases for Leaders

Explore how organizations are putting their data to work to drive business outcomes, such as improving customer experience and making better, faster decisions. 

Choose the right AWS data services for your data strategy

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Build your end-to-end data strategy on AWS

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  • AWS offers relational databases, including serverless options, 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

  • 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 data integrations with AWS.

  • 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.

  • AWS provides the broadest and deepest set of analytics services, including serverless options, 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.

  • 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.

  • 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.

  • 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, , including Amazon DataZone, you can catalog, discover, share, and govern data across the organization. Learn more about end-to-end data governance with AWS

Get inspired with data-driven success stories

Discover how AWS customers are achieving data-driven success with an end-to-end data strategy built on AWS. See all customer stories »

1.5M+ customers

are solving complex data problems with AWS

15+ years of data innovation

across storage, databases, analytics, and machine learning

100,000+ Partners

A global network of thousands of system integrators and independent software vendors

Learn more


The ultimate data strategy guide

Discover how to maximize the business value of your data by implementing an end-to-end data strategy with AWS.



CDO Report: Data and generative AI

Explore the key priorities, challenges, and drivers of success for Chief Data Officers.

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10 Stories of Data-driven Success

Discover how leading organizations are maximizing business value with an end-to-end data strategy.