Cloudera named a leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems Get the report
Workload XM is now Cloudera Observability.

Cloudera Workload XM

Deliver an extraordinary analytics experience with intelligent workload management.

Empower users to produce actionable insights faster by proactively optimizing workloads, application performance, and infrastructure capacity for data warehousing, data engineering, and machine learning environments.

Ensure optimal performance, reduce downtime, and improve utilization across the complete lifecycle of your analytics workloads.

Modern data warehouses enable more users to analyze more types of data faster and with iterative self-service access, while ensuring critical reporting needs and SLAs are met. However, it can be challenging to get a complete view of what’s running across millions of queries and hundreds of databases and to know where to focus and optimize efforts. 

Cloudera Workload XM provides the enhanced visibility and actionability to efficiently migrate, analyze, optimize, and scale workloads running in a modern platform—ultimately resulting in reduced migration risk, faster troubleshooting and root cause analysis, greater uptime, and higher resource utilization.


Key capabilities

Reduce Migration Time and Risk

Consolidate your data marts and warehouses faster, without risking your existing workloads. Only Workload XM provides unique insights to help you migrate SQL workloads from legacy data warehouses for the fastest time-to-first-success. Understand what’s running today, prioritize your migration, and ensure a seamless transition.

Eliminate Missed SLAs and Slow Queries

Ensure predictability for both business critical reports and dynamic, self-service exploration. Only Workload XM powers intelligent performance management for the needs of modern data warehousing workloads, while still meeting critical SLAs through comprehensive workload analytics and health checks.

Reduce Downtime with Faster Troubleshooting

Focus your efforts when troubleshooting issues for greater efficiency and improved uptime. With Workload XM, you get complete visibility and prescriptive guidance for faster root cause analysis and troubleshooting for optimal efficiency at scale. And with built-in guidance and optimization best practices, developers can self-service tune their own queries to prevent rogue queries.

Maximize Resource Utilization

Confidently and cost-effectively scale your modern data warehouse to take on new users, tenants, and workloads. Workload XM helps you understand how existing resources are being used and how to efficiently reallocate or scale to lower your overall total cost of ownership across the platform.

"Workload XM has been a great addition to the platform. It gives the Samsung team great visibility into the performance of specific queries and jobs and has allowed us to proactively optimize both Data Warehouse and Data Engineering workloads. This will ensure our highest priority workloads don't compete for resources with less essential queries and allow us to manage our infrastructure in a more informed way, increase utilization, and increase the overall infrastructure ROI."

—David Zhou, Senior Director and Head of Big Data Platform and Engineering, Samsung


TDWI TechPrimer: Analytics Modernization with David Stodder


10 ways to transform big data analytics into big value


Making self-service BI a reality in the enterprise

Analyst Report

TDWI Checklist Report: Emerging design patterns for data management

Your form submission has failed.

This may have been caused by one of the following:

  • Your request timed out
  • A plugin/browser extension blocked the submission. If you have an ad blocking plugin please disable it and close this message to reload the page.