Trace every table, transformation, and dashboard connection end‑to‑end. Detect issues before deployment and ensure every decision is built on trusted data.
Modern data stacks span hundreds of tools, yet most lineage systems stop at the warehouse. Analyze source code, pipelines, and dashboards to reveal how every dataset is created, transformed, and consumed before problems reach production.
Unified lineage across SQL and non SQL systems
Real-time impact analysis at build time
Track dependencies to upstream applications in any framework
Lineage is always updated to the latest commit
Avoid the pain of discovering broken pipelines after release. View downstream and upstream dependencies across every tool and data product, eliminating unknowns when making changes that impact downstream consumers.
Detect impact across dbt, Spark, Airflow, Python, SQL, and BI tools
Get automated downstream alerts in GitHub, GitLab, or Slack
Column-level precision for schema changes
Prevent data incidents before they start
Whether you manage pipelines, enforce governance, or deliver analytics, complete lineage transforms how your team collaborates.
Data Engineers: Build confidently knowing every code change is mapped, validated, and impact tested before release.
Data Governance Leads: Gain real time oversight without slowing delivery. Enforce rules automatically instead of chasing compliance manually.
Analytics Leaders: Rely on consistent, trusted data to drive decisions faster.
Experience unified lineage, impact analysis, and automated prevention.
