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Fuel innovation with data and AI

Make more informed decisions, improve operations, and differentiate with generative AI
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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.
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Data is your generative AI differentiator

Discover how a data foundation built on AWS accelerates your adoption of generative AI.

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Put your data to work
Use Case

Make better, faster decisions

Give everyone in the business access to relevant data and insights to make informed decisions.

See how to become a successful data-driven organization
Use Case

Improve customer experience and loyalty

Break down data silos to get a complete view of your customers in order to provide more personalized and relevant experiences.

See how to enable complete visibility of the customer journey
Use Case

Keep up with application demands

Build scalable applications to meet growing data needs and customer demands.

See how to power applications with data and machine learning
Use Case

Reinvent your supply chain

Get full visibility of your supply chain to improve agility, efficiency, and resiliency.

See how to drive supply chain innovation, visibility, and resilience
Use Case

Reduce fraud

Accurately detect and prevent online fraud to reduce revenue losses and adapt to changing threat patterns.

See how Delivery Hero blocked fraudulent purchases by 32%
Use Case

Cut costs

Reduce the cost of data management and use analytics, AI, and ML to uncover new cost-savings opportunities.

See how to reduce costs across your data journey
Industry

Financial services

Enhance customer experiences, improve investment portfolios performance, and reduce fraud.

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Industry

Healthcare

Accelerate health innovations and improve patient experiences.

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The ROI of a data strategy built on AWS

ROI with a data strategy built on AWS
To learn more, download “The Total Economic Impact (TM) of AWS Modern Data strategy”, a commissioned study conducted by Forrester Consulting on behalf of AWS, August 2023. Results are based on a composite organization over three years.

revenue growth from better data integration and analytics

months (time to value) to achieve results from a comprehensive data strategy with AWS

Build your 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

Get started

Build with AWS

AWS provides professional services and hands-on programs to help you get started on and continue your data journey.

Data-Driven Everything (D2E)

Build with AWS Partners

AWS Partner Network (APN) includes thousands of systems integrators who specialize in AWS services and tens of thousands of independent software vendors (ISVs) who adapt their technology to work on AWS.

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Upskill your teams

AWS Training & Certification equips your workforce with the knowledge and skills to better manage and extract value from your data using AWS.

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Bring ML to your organization

Collaborate with experts to identify and build ML solutions that align to business goals.

ML Solutions Lab

AWS Solutions Library

Discover vetted solutions from AWS and AWS partners for your technical and business use cases.

AWS Solutions Library