# Using Amazon Redshift integration for Apache Spark on Amazon EMR Serverless
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With Amazon EMR release 6.9.0 and later, every release image includes a connector between [Apache Spark](https://aws.amazon.com/emr/features/spark/) and Amazon Redshift. With this connector, use Spark on Amazon EMR Serverless to process data stored in Amazon Redshift. The integration is based on the [`spark-redshift` open-source connector](https://github.com/spark-redshift-community/spark-redshift#readme). For Amazon EMR Serverless, the [Amazon Redshift integration for Apache Spark](https://docs.aws.amazon.com/redshift/latest/mgmt/spark-redshift-connector.html) is included as a native integration.

**Topics**
+ [Launching a Spark application with the Amazon Redshift integration for Apache Spark](emr-spark-redshift-launch.md)
+ [Authenticating with the Amazon Redshift integration for Apache Spark](emr-spark-redshift-auth.md)
+ [Reading and writing from and to Amazon Redshift](emr-spark-redshift-readwrite.md)
+ [Considerations and limitations when using the Spark connector](emr-spark-redshift-considerations.md)