Maximize resource utilization and improve jobs runtime with real-time monitoring and actionable recommendations
See how definity helps you monitor, profile, and optimize Spark performance & cost, with zero code changes.
Monitor performance, SLAs, and cost at the pipeline, job, and transformation levels, with insightful drill-downs.
Automatically identify degradations in-motion, before they impact downstream.
Get intelligent insights & drill-downs to easily root-cause inefficiencies and tune jobs.
Identify and fix CPU & memory utilization, Skew, Spill, Shuffle/Partitions, and more.
Avoid getting lost in Spark UI, with a unified context linking performance, data behavior, and lineage.
Monitor all Spark pipelines, on-prem or cloud, with zero code changes.
Monitor cost & resource waste. Pinpoint pipeline-specific savings opportunities.
Tune jobs to free up cluster resources, cut costs, and reduce job failures.
Monitor failures & delays in real-time. Optimize jobs to reduce run-times and ensure SLAs.
Track performance, inefficiencies, and cost at all levels. Detect degradations in real-time.
Identify pipeline waste.
Get concrete optimization opportunities with highest ROI
Tune jobs & queries performance with insightful drill-downs and actionable recommendations.
Instrument in <30 minutes and get needle-moving insights within week-1
Central installation, zero code changes. On-prem or cloud.
Learn more how definity enables data engineers to optimize Spark performance & curb data platform cost.
Optimize your Spark jobs in minutes and slash operational costs