Analytics on AWS

AWS makes it easy for you to combine, move, and replicate data across multiple data stores and your data lake.

Ease of use

AWS allows you to easily move data between the data lake and purpose-built data services. For example, AWS Glue is a serverless data integration service that makes it easy to prepare data for analytics, machine learning, and application development.

Faster data integration

AWS gives you the ability to query data across different data sources such as databases, data lakes, and data warehouses. For example, Amazon Athena enables you to use SQL to query a data lake and federated query lets you query live data from relational databases.

Ease of movement

With data stored in a number of different systems, AWS allows you to easily move that data between all of your services and data stores: inside out, outside in, and around the perimeter.

Tens of thousands of customers run their data lakes on AWS.

Scalable

Collect, store, organize, and analyze data from multiple sources and formats and scale it to any size. Use AWS Lake Formation to automate tasks required to set up a data lake while saving time defining data structures, schema, and transformations.

Flexible

Easily ingest data in a variety of ways, including leveraging Amazon Kinesis, AWS Import/Export Snowball, AWS Direct Connect, and more. Store all of your data, regardless of volume or format, using Amazon Simple Storage Service (Amazon S3).

Agile

Deploy the infrastructure you need almost instantly. This means teams can be more productive, easily try new things, and roll out projects sooner.

For predictive analytics use cases, AWS provides a broad set of machine learning services and tools that run on your data lake on AWS.

Deeper and faster insights

AWS analytics services leverage proven machine learning (ML) and natural language capabilities to help you gain deeper and faster insights from your data.

Platform integration

AWS provides built-in integration of ML as part of its purpose-built data stores and analytics services, allowing you to create, train, and deploy ML models using familiar languages like SQL.

Experience

AWS is committed to providing the best performance at the lowest cost across all analytics services and we are continually innovating to improve the price-performance of our services.