Related services

AWS Data Pipeline works with the following services to store data.

• Amazon DynamoDB — Provides a fully managed NoSQL database with fast performance at a low cost. For more information, see Amazon DynamoDB Developer Guide.

• Amazon RDS — Provides a fully managed relational database that scales to large datasets. For more information, see Amazon Relational Database Service Developer Guide.

• Amazon Redshift — Provides a fast, fully managed, petabyte-scale data warehouse that makes it easy and cost-effective to analyze a vast amount of data. For more information, see Amazon Redshift Database Developer Guide.

• Amazon S3 — Provides secure, durable, and highly scalable object storage. For more information, see Amazon Simple Storage Service User Guide.

AWS Data Pipeline works with the following compute services to transform data.

• Amazon EC2 — Provides resizable computing capacity—literally, servers in Amazon's data centers—that you use to build and host your software systems. For more information, see Amazon EC2 User Guide for Linux Instances.

• Amazon EMR — Makes it easy, fast, and cost-effective for you to distribute and process vast amounts of data across Amazon EC2 servers, using a framework such as Apache Hadoop or Apache Spark. For more information, see Amazon EMR Developer Guide.