Data Lineage
End-to-end lineage for enterprise data stacks.
What it does
End-to-end lineage for enterprise data stacks.
- Data observability
- AI trust
- Data lineage
- Sensitive data classification
- Data quality monitoring
- Data governance
- Category
- Data quality and observability
- Users
- Large enterprises, Data engineers, Data analysts, Data leaders and 3 more
- Public API
- Not offered
Not yet disclosed: deployment options, platforms, languages and support channels.
Pricing
- Free trial$0
Prices as published by Bigeye, checked Oct 2026.
Security and compliance
As reported by Bigeye. Ask for audit reports before you buy.
- ISO 22301Compliant
Reviews
No reviews yet
Reviews come from people who use Data Lineage at work. Share how your team uses it to help other buyers decide.
Alternatives
Unity Catalog Semantics
by Databricks
Open, adaptive semantics layer for consistent answers across BI assets, developer tools and AI agents.
Data Knowledge Graph
by Datafold
The context layer that makes your AI agents effective for data engineering by serving lineage, business logic, usage, and organizational knowledge via MCP.
Data Quality Platform
by Datafold
Data Diff in CI/CD, cross-system reconciliation, proactive anomaly detection — all exposed via MCP so coding agents can test, debug, and validate programmatically.
Data Diff
by Datafold
Compare datasets within or across databases with value-level precision at any scale.
Anomaly Detection
by Datafold
ML-driven monitoring across all dimensions of data quality.
AI platform for data and analytics built on a foundation of data cataloging, lineage, observability, and quality enriched by business context, delivering trusted answers at scale.
Is this your product?
Claim it to keep details accurate and submit evidence for the next ranking review.
Claim Data Lineage