Cloudera Data Lineage (formerly Octopai) is a SaaS platform that automatically harvests metadata from cloud, on‑premises, and hybrid sources to build and continuously update a complete data‑lineage graph. It provides interactive visualizations, searchable metadata, and data‑quality metrics, enabling data engineering and analytics teams to trace data origins, assess impact of changes, and generate audit‑ready evidence without manual tagging.
Funding
$7.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Organizations struggle to maintain visibility into data movement across complex, hybrid environments, leading to manual metadata collection, error‑prone impact analysis, and difficulty meeting governance and audit requirements.
Solution
Cloudera Data Lineage (formerly Octopai) provides a SaaS platform that automatically harvests metadata from over 60 native and universal connectors, builds and continuously updates a full data‑lineage graph, and presents it through interactive diagrams and searchable metadata. The solution eliminates manual tagging, infers missing relationships, and enriches lineage with data‑quality metrics, enabling both technical teams and business users to trace data origins, assess change impact, and produce audit‑ready evidence in seconds.
Target Audience
Primary customers are data engineering and analytics teams in enterprises that need end‑to‑end visibility for data governance, compliance, and impact analysis, as well as business analysts who require trustworthy data lineage for decision making.
Features
- Automated metadata harvesting from cloud, on‑premises, and hybrid sources without manual effort
- Real‑time, multi‑layered data‑lineage mapping with inferred relationships to fill gaps
- Interactive lineage visualizations, searchable metadata, and data‑quality metrics for governance
- Over 60 native integrations plus a universal connector for non‑native systems
- Hybrid compatibility supporting cross‑system, intra‑system, and granular lineage views
- Contextual insights and semantic layering to create business‑logic‑driven data views