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Check here to find a list of End of Support for Tools and Releases

The HPCC Systems platform continues to grow and evolve. This list will be updated as new versions are released and support ends for previous builds or tools are deprecated.

32-Bit Version of the HPCC Client Tools

As of version 9.6.0, the 32-bit version of the HPCC Client Tools will no longer be actively developed, supported, or distributed. By focusing our resources on the 64-bit version, we can ensure continued innovation and improved security. This helps us provide the best possible experience for our users.

Spark Support

The HPCC integrated Spark plugin is no longer supported as of version 9.0.0 in favor of stand-alone user-managed Spark clusters linked to the HPCC platform using the Spark-HPCC connector. Click for detailed instructions to remove the Spark-HPCC Connector integration from your environment.

Cassandra as a System Data Store

Support for using Cassandra as a system data store is being deprecated as of version 9.2.0. Support for Cassandra as an embedded language and database will continue as before.

Nagios/Ganglia

As of 8.12.0-1 support for the Nagios/Ganglia Reporting and Monitoring plugin is deprecated. The plugin is no longer being built or distributed. The installer packages for older versions of the plugin will continue to be available on our archive page. Standalone system monitoring via Ganglia/Nagios is not affected by this change. You can choose to use other options such as Prometheus, Grafana, or cloud-provided services.

Virtual Machine Image

HPCC Systems 8.2.0 is the last release that will include a Virtual Machine image, which can be used under Oracle VM VirtualBox™ to bring up a single-node system in a virtual machine. From HPCC Systems 8.4.0, we plan to replace this with a Docker image that can be run locally on Docker Desktop or Minikube, or on most Cloud service providers such as Microsoft Azure, Amazon Web Services, Google Cloud etc. This approach is much more flexible, uses much more modern technology, carries less overheads and uses our latest cloud-native version of HPCC Systems.