April 25, 2025

Cloudera Data Engineering support on ARM - Technical Preview

With the Cloudera Runtime 7.3.1.200 Service Pack 1 (SP1) release, Cloudera Data Engineering Data Hub is optimized to run ARM-based solutions enabling users to run large-scale data processing and analytics workloads. From the AWS Graviton family, Cloudera Data Engineering Data Hub is supported on AWS Graviton2, Graviton3 and Graviton4.

AWS Graviton is a general purpose, ARM-based processor family. AWS Graviton offers enhanced performance and cost-efficiency compared to traditional Intel x86 processors. With AWS Graviton, you can optimize costs and achieve better performance for cloud workloads running in AWS Elastic Compute Cloud (EC2). For more information, see the AWS Instance Type page.

For more information about how to create Cloudera Data Engineering Data Hub clusters on ARM processors, see the Creating a cluster from a definition on AWS documentation.

The following limitations are applied when using Cloudera Data Engineering Data Hub on ARM-based architecture:

• You need to have the following entitlement to be able to create Cloudera Data Engineering Data Hub clusters on ARM:
  • CDP_AWS_ARM_DATAHUB

  For more information about how to obtain the entitlement, contact Cloudera Customer Support.

• You can create ARM-based Cloudera Data Engineering Data Hub clusters only in Cloudera environments on AWS.
• Ensure that the EC2 instances with ARM processors are supported in your region. For more information, see the AWS Graviton Processors and Amazon EC2 instance types by Region documentation.
• From the available Cloudera Data Hub templates, only the Data Engineering templates are supported on the ARM-based architecture.
• To create Cloudera Data Engineering Data Hub clusters that use ARM processors, you need to install beta CDP CLI. For more information, see the Installing beta CDP CLI documentation.