Compatibility for Cloudera Machine Learning and Runtime components

Learn about Cloudera Machine Learning and compatibility for Runtime components across different versions.

Table 1. Cloudera Machine Learning compatibility with Runtime component details
Cloudera Machine Learning Data Lake Supported Spark Version
2.0.46-b210 7.2.16 or higher
  • Spark 2.4.8
  • Spark 3.2.3
  • Spark 3.3.0
2.0.46-b200 7.2.16 or higher
  • Spark 2.4.8
  • Spark 3.2.3
  • Spark 3.3.0
2.0.45-b86 7.2.16 or higher
  • Spark 2.4.8
  • Spark 3.2.3
  • Spark 3.3.0
2.0.45-b82 7.2.16 or higher
  • Spark 2.4.8
  • Spark 3.2.3
  • Spark 3.3.0
2.0.45-b81 7.2.16 or higher
  • Spark 2.4.8
  • Spark 3.2.3
  • Spark 3.3.0
2.0.45-b76 7.2.16 or higher
  • Spark 2.4.8
  • Spark 3.2.3
  • Spark 3.3.0
2.0.45-b54 7.2.16 or higher
  • Spark 2.4.8
  • Spark 3.2.3
  • Spark 3.3.0
2.0.43-b233 7.2.16 or higher
2.0.43-b229 7.2.16 or higher
2.0.43-b220 7.2.16 or higher
2.0.43-b208 7.2.16 or higher
2.0.41-b225 7.2.15 or higher
2.0.40-b157 7.2.14 or higher
2.0.40-b150 7.2.14 or higher
2.0.38-b126 7.2.14 or higher
2.0.38-b125 7.2.14 or higher
2.0.38-b121 7.2.14 or higher
2.0.38-b101 7.2.14 or higher
2.0.36-b121 7.2.14 or higher
2.0.36-b118 7.2.14 or higher
2.0.34-b116 7.2.14 or higher
2.0.32-b123 7.2.14 or higher
2.0.30-b114 7.2.14 or higher
2.0.29-b61 7.2.11 or higher
2.0.27-b64 7.2.11 or higher
2.0.26-b180 7.2.11 or higher
2.0.25-b110 7.2.11 or higher
2.0.24-b100 7.2.11 or higher

Upgraded Cloudera Machine Learning deployments keep multiple Hadoop CLI addon versions that administrators can configure to maintain compatibility between Cloudera Machine Learning and the Data Lake.

Spark support in Cloudera Machine Learning

The end of support (EoS) policy for Spark is the same in both Cloudera Data Engineering and Cloudera Machine Learning. For information about end of support for Spark, see Cloudera Data Engineering Runtime end of support .