What is definity
definity platform allows data teams to:
- Gain full observability into their production data pipelines.
- Get configuration & code recommendations to keep your costs optimized.
- Actively protect against SLA misses, Stale data, and Bad data in real time.
- Validate version & Infra upgrades with automated CI/CD Testing on full scale data.
This is done centrally to the entire data platform with zero code changes.
Solution
Data Platform Teams
Resource Waste Analysis & Proactive saving opportunities
Usage: Analyze pipeline footprint over time, identify resource over-provisioning, data skew and lacking parallelization and get optimization recommendation without SLA impact & option to automatically apply fixes
Pipeline health monitor
Usage: Identify pipeline downtime, missed SLAs, redundant failure & retires and predict failures. Impact: Reduce engineers effort on RCA & Time to market - Increase velocity, Reduce Data Downtime
Automated central instrumentation
Apply observability centrally, post-production to all data org Full unified coverage across organizations allows early issue handling, easy root-cause analysis and effective resource optimization
Environment/Platform changes tracking
Identify and stop breaking schema changes & prevent issues downstream early
To get started create your account and add pipelines with our free tier now
Data Engineering Teams
Auto Generated Data Validation tests / Contracts
Usage: input & Output data validation and automated data contracts (freshness, volume, completeness, schema, distribution) Impact: Auto generated tests & contracts are dynamic and create high coverage. This reduces both MTTD (Mean time to detect) & MTTR (Mean time to Resolve)
Real Time Analysis & Remediation
Stop severe incidents on critical pipelines before it affects downstream Early prevention help reduce MTTD & MTTR and minimize data downtime impact on business
Full stack Lineage
Get detailed linage of input & output tables and internal job lineage with all intermediate tables to quickly root-cause issues Save engineering resources & Compute resources
Quick root cause analysis
See code changes, Environment changes, Schema and data shifts in context to pinpoint what has changed and caused incidents
Protect your data quality - Learn more on how automated tests are created, and how full lineage can help you root cause incidents