Supported product versions
Below you find the list of versions that are supported for each product. New versions get added every release, old ones are deprecated or removed. Read the Release notes for the Stackable Data Platform for each platform version to see which product versions are available.
Read about Product image selection to learn how to use a particular version in your Stacklet, as well as how you can use custom images or a custom registry.
Apache Hive
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4.0.1 (LTS)
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4.0.0 (deprecated)
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3.1.3 (deprecated)
Hive 4 issues
Hive 4 has known compatibility issues, especially when using it with Iceberg or Trino. The missing compatibility with Iceberg also means that Spark jobs using this storage may fail.
Workaround: If you encounter issues with Hive 4, use Hive 3.1.3 instead until these upstream issues are resolved.
For more details, see:
Apache NiFi
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2.4.0 (Please note that you need to upgrade to at least 1.27.x before upgrading to 2.x.x!)
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1.28.1
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1.27.0 (LTS)
For details on how to upgrade your NiFi version, refer to Updating NiFi.
Apache Spark on Kubernetes
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4.0.1 (Hadoop 3.4.1, Scala 2.13, Python 3.11, Java 17) (Experimental)
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3.5.6 (Hadoop 3.3.4, Scala 2.12, Python 3.11, Java 17) (Deprecated)
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3.5.7 (Hadoop 3.3.4, Scala 2.12, Python 3.11, Java 17) (LTS)
Some reasons why Spark 4 is considered experimental (as of September 2025):
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Missing HBase compatibility (See: https://github.com/apache/hbase-connectors/pull/130)
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Executors fail to load logging libs (maybe related: https://issues.apache.org/jira/browse/SPARK-52585)