Maximize resource utilization and improve jobs runtime
with real-time monitoring and actionable recommendations
Tired of digging into Spark UI and fumbling to know where to start?
With definity, Spark performance can be seamlessly monitored and contextualized, so optimization is simplified and automated. Optimize your Spark jobs in minutes, avoid fire-drills, and start saving your organization hundreds of thousands of dollars!
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.
Optimize your Spark jobs in minutes and slash operational costs
Learn more how definity enables data engineers to
optimize Spark performance & curb data platform cost.