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Cloudera Data Engineering Runtime end of support

Learn about Cloudera Data Engineering Runtime end of support for Spark.

The following table specifies the planned End of Support (EoS) policy schedule for Spark. All future dates are provided for planning purposes only and are subject to change. In each case, the projected EoS date can be considered to be the last day of the month specified in the Cloudera Data Engineering Runtime end of support information table.

Table 1. Cloudera Data Engineering Runtime end of support information
Runtime version on cloud Data Lake support End of support Long-term support Notes
Spark 2.4.8 Up to 7.2.18 September 2025 Yes Deprecated (will only receive bug fixes and security patches)
Spark 3.2.3 Up to 7.2.18 September 2025 - -
Spark 3.3.x Up to 7.2.18 September 2025 - -
Spark 3.5.x Starting from 7.2.18 Will follow Data Lake support policy Yes -

Each Cloudera Data Engineering release is certified against one or more Data Lake versions. This ensures full compatibility between the Spark engine and the underlying platform capabilities, such as the Hive Catalog service and Ranger for security policies. Each Spark version is compatible with a Data Lake version. For more information, see Compatibility for Cloudera Data Engineering and Runtime components.

Cloudera Data Engineering offers LTS through underlying Spark runtimes. When running Spark jobs within Cloudera Data Engineering, you have the option to choose an older Spark version. Specific versions of Spark are designated as LTS. This allows you to continue running Spark jobs without any code changes. Since Cloudera Data Engineering job management APIs remain backwards compatible, existing automations are not impacted.

Spark runtimes designated as LTS on cloud have certification that spans through multiple Data Lake versions and are limited to minor enhancements and critical bug and security enhancements. To use a Spark runtime that is tagged as LTS, you need to run a supported Cloudera Data Engineering version with a corresponding certified and currently supported Data Lake version.

Spark runtimes that are not designated as LTS will be limited to the support lifetime of the corresponding certified Data Lake version. For more information, see Compatibility for Cloudera Data Engineering and Runtime components.

See the Cloudera - on cloud section in Support lifecycle policy.

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