Databricks Out Of Memory Issues

November 5, 2025

Analyze Out of Memory Issues in ‪Databricks‬ with ‪Revefi‬ AI Agent

Take control of your Databricks reliability today with Revefi’s AI Agent! Watch this short video to see how Revefi’s AI Agent, RADEN, uncovers out of memory issues that cause job failures, waste compute resources, and degrade performance across your Databricks environment.

Our innovative technology empowers you to:

  • Identify jobs failing due to memory limitations, inefficient joins, large shuffles, or poor cluster sizing
  • Analyze key indicators such as termination codes, resource configuration, and workload intensity for accurate diagnosis
  • Receive actionable recommendations to increase memory allocation, enable multi-node clusters, and apply Spark configuration optimizations for stability and performance.

See our Agentic AI in Action Without Any Setup

Explore a secure test environment, and watch how Revefi’s AI Agent transforms your Databricks reliability and resource management instantly.

Try our Sandbox