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Data is your generative AI differentiator

Redefine how you harness data, analytics, and AI with the next generation of Amazon SageMaker.

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Build a strong data foundation

Use the most comprehensive set of data capabilities with the best price performance to power all your use cases, from analytics to generative AI.
Quickly and easily connect and act on all of your data no matter where it lives with integrated data services, an open data lakehouse, and zero-ETL features.
Move faster with confidence. Maintain control over your data at every step of the data and AI workflows—from where your data sits to who has access to it and what can be done with it.
Simplify data management with built-in AI—making data easier to discover, more intuitive to work with, and more accessible.

Build your data foundation on AWS

  • AWS offers relational databases with unparalleled performance at 1/10 of the cost of enterprise grade commercial databases and eight 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. AWS also offers vector capabilities in its most popular databases, including Amazon Aurora, Amazon RDS, Amazon OpenSearch Service, Amazon OpenSearch Serverless, Amazon Neptune, and Amazon DocumentDB to help developers innovate and create unique experiences powered by vector search. Explore vector databases on AWS.

  • Hundreds of thousands of customers build data lakes on AWS with services like Amazon Simple Storage Service (Amazon S3) and Amazon Redshift, a fast, petabyte-scale data warehouse delivering up to 6x better price performance than other cloud data warehouses. Now you can use Amazon SageMaker Lakehouse to unify all your data across multiple data sources such as data lakes and data warehouses, giving you a single point of access to simplify analytics and AI.

  • AWS makes it easy to connect and act on all of your data no matter where it lives. Easily prepare, integrate and orchestrate your data with a unified experience in Amazon SageMaker Data Processing, bringing together data transformation and orchestration from Amazon SageMaker AI and data processing from Amazon EMR, Amazon Athena, AWS Glue, and Amazon Managed Workflows for Apache Airflow (Amazon MWAA). Additionally, AWS services connect to hundreds of data sources including SaaS, on premises, and other clouds.

  • SageMaker is an integrated platform for data, analytics, and AI. Bringing together comprehensive machine learning (ML) and analytics capabilities, SageMaker delivers a unified studio experience to access and act on all your data, using purpose-built tools for model development and training, generative AI, data processing, and SQL analytics, assisted by Amazon Q at every step. SageMaker AI provides all the tools necessary to easily build, train, and deploy AI models at scale. Amazon Bedrock is the easiest way to build and scale generative AI applications with foundation models (FMs) from leading AI companies.

  • 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 ML. Amazon SageMaker Canvas gives business analysts the ability to generate accurate ML predictions without prior ML experience.

  • 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 and Amazon SageMaker Catalog, you can securely discover, access, and collaborate across data, AI models, and applications.