

AWS Data Pipeline is no longer available to new customers. Existing customers of AWS Data Pipeline can continue to use the service as normal. [Learn more](https://aws.amazon.com/blogs/big-data/migrate-workloads-from-aws-data-pipeline/)

# Related services
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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](https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/)*.
+ Amazon RDS — Provides a fully managed relational database that scales to large datasets. For more information, see *[Amazon Relational Database Service Developer Guide](https://docs.aws.amazon.com/AmazonRDS/latest/DeveloperGuide/)*.
+ 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](https://docs.aws.amazon.com/redshift/latest/dg/)*.
+ Amazon S3 — Provides secure, durable, and highly scalable object storage. For more information, see *[Amazon Simple Storage Service User Guide](https://docs.aws.amazon.com/AmazonS3/latest/userguide/)*.

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](https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/)*.
+ 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](https://docs.aws.amazon.com/emr/latest/DeveloperGuide/)*.