Prevent Incidents In-Motion
and Resolve Issues
Agentically

Full-stack observability in runtime, with AI-powered insights – for Spark and Lakehouse pipelines

Real-Time Pipeline Observability,
with Full-Stack Context For AI-Powered RCA

In-Motion Execution Monitoring

Real-time execution visibility

Monitor jobs and transformations inline, in run-time - not after-the-fact.

Pre-run input validation

Check input data and job parameters before pipelines even run.

Run-time anomaly detection

Catch data, job, or schema issues before SLAs are breached or bad output is written.

Automatic run preemptions

Stop problematic jobs mid-run to prevent wasted runs and downstream impact.

360° Proactive Observability

Monitor everything, in one place

Monitor jobs execution, data quality, infra utilization, and cost across the entire stack.

Broad out-of-the-box coverage

Track SLAs, freshness, distribution, schema, code/env changes, and more.

AI-powered anomaly detection

Pinpoint issues out-of-the-box, without manual configurations or static rules.

AI-Assisted Root-Cause Analysis

Automated data+job lineage

Column-level lineage connecting datasets and transformations – for E2E data flow visibility.

Contextualized job execution

Correlate runs, transformations, code, env, and data into a unified holistic view.

Root-cause with AI

Go from alert to insight in seconds – no log-diving, just actionable insights.

Effortless Spark Optimization for Immediate Cost Savings

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!

Enterprise impact

Real Results, Fast

90%

prevented data incidents

25%

increased data engineering velocity

Week-1

standardized observability

50%

faster deploys & upgrades

How It Works?

Deploy Centrally

Instrument in <15 minutes with zero code changes – no developer action required.

Monitor in Run-Time

Monitor data, jobs, and infra inline with execution and catch issues before they propagate.

Resolve in Minutes

Root-cause issues in 3-clicks with actionable context and AI assistance.

Instrument in <15 minutes and standardize observability across the platform in week-1
Central installation. Zero code changes. On-prem or cloud.

Learn more how definity enables data engineers to proactively monitor, detect, and prevent data & job issues, in real-time, out-of-the-box.

Ready to stop firefighting
and shift to proactive observability?

Monitor and debug pipelines in-motion, with full context and zero code changes.