Capabilities Overview
definity is an intelligent observability & optimization platform purpose-built for modern Spark-based data pipelines. It provides real-time visibility, predictive insights, and automated recommendations across the entire data application lifecycle—from health and performance to data quality and release validation.
Explore the core modules below to learn how definity empowers data teams to build faster, run smoother, and scale smarter.
Pipeline Health Monitoring
Monitor pipeline reliability, SLA compliance, and task-level stability with real-time and historical views. definity detects execution trends, identifies root causes of failures, and offers automated fixes to reduce downtime.
Highlights:
- Success Rate & Failure Analysis
- SLA Tracking & Bottleneck Detection
- AI-Driven Root Cause & Recommendations
Performance & Resource Optimization
Analyze infrastructure usage and optimize performance at scale. definity detects underutilized or inefficient resource usage and provides recommendations to reduce costs and improve throughput.
Highlights:
- High-Cost Pipeline Detection
- vCore & Memory Waste Insights
- Execution & Query Optimization
Data Quality Monitoring
Ensure data integrity through automated testing, real-time monitoring, and anomaly detection. definity enables proactive quality enforcement at both column and table levels.
Highlights:
- AI-Generated Data Quality Tests
- Real-Time Metric Collection
- Table & Column-Level Analysis
CI for Data Apps: DALM
definity automates data app upgrades, migrations, and release validations using side-by-side comparisons, RCA tooling, and intelligent snapshot tracking—reducing risk while accelerating delivery.
Highlights:
- Side-by-Side Pipeline Execution
- Snapshot-Based Data Comparison
- Automated Root Cause Analysis
By integrating these modules, definity offers a unified solution to manage data applications with confidence, scalability, and speed.