Observability for
Advanced
Data Engineering

Proactively prevent bad data and quickly root cause issues, automatically. On-prem or cloud.

hero image

When your data operation is…

hero image

Inside-out data pipelines observability designed for Spark-heavy teams.

Shift observability to post-production
and let data developers focus on business value

Stop guessing what’s going on

Holistic Monitoring

Establish full visibility
→ maintain data platform health


Out-of-the-box granular metrics collection & monitoring
Data quality, pipeline runs, infra performance
hero image
hero image

Stop chasing coverage, writing tests manually

Automated coverage

Reduce manual effort
→ increase data developers velocity


Auto-generated tests in post-production, with no manual coding
Dynamic anomaly detection evolving with data & behavior

Stop pulling teeth when you root-cause

CONTEXTUALIZED RCA

Root-cause issues quickly
→ minimize downstream impact


Rich execution context, with runs, code, schema, & env tracking
Deep column-level data lineage, automatically built
Pinpointed actionable alerts
hero image
hero image

Stop catching bad data too late

Proactive protection

Detect issues in real-time
→ prevent issue propagation


Real-time testing, in-line with the pipeline runs
Automatic runs preemption, with no code changes

Stop wasted runs & resources

Intelligent savings

Optimize infra performance
→ save costs


Monitoring infra resources, CPU, and pipeline SLAs
Smart auto-recommendations
hero image

Single-point one-time installation.
No code changes. Zero-config.
Immediate insights.

Single-point one-time installation.
No code changes.
Zero-config.
Immediate insights.

Book a demo