# EMR Serverless 6.9.0
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The following table lists the application versions available with EMR Serverless 6.9.0.


| Application | Version | 
| --- | --- | 
| Apache Spark | 3.3.0 | 
| Apache Hive | 3.1.3 | 
| Apache Tez | 0.10.2 | 

**EMR Serverless 6.9.0 release notes**
+ The Amazon Redshift integration for Apache Spark is included in Amazon EMR releases 6.9.0 and later. Previously an open-source tool, the native integration is a Spark connector that you can use to build Apache Spark applications that read from and write to data in Amazon Redshift and Amazon Redshift Serverless. For more information, see [Using Amazon Redshift integration for Apache Spark on Amazon EMR Serverless](emr-spark-redshift.md).
+ EMR Serverless release 6.9.0 adds support for AWS Graviton2 (arm64) architecture. You can use the `architecture` parameter for the `create-application` and `update-application` APIs to choose the arm64 architecture. For more information, refer to [Amazon EMR Serverless architecture options](architecture.md). 
+ You can now export, import, query, and join Amazon DynamoDB tables directly from your EMR Serverless Spark and Hive applications. For more information, refer to [Connecting to DynamoDB with Amazon EMR Serverless](using-ddb-connector.md).

**Known issues**
+ If you use the Amazon Redshift integration for Apache Spark and have a time, timetz, timestamp, or timestamptz with microsecond precision in Parquet format, the connector rounds the time values to the nearest millisecond value. As a workaround, use the text unload format `unload_s3_format` parameter.