Cloudera Data Lineage

Name: Cloudera Data Lineage
Brand: Cloudera
Rating: 4.4 (216 reviews)

Cloudera Data Lineage is an automated metadata management and lineage product that extracts metadata from data sources, ETL/ELT tools, scripts, and BI/reporting layers and renders end-to-end lineage graphs for impact analysis, troubleshooting, governance, and compliance across cloud, on‑prem, and hybrid estates.

Est 2008|Valuation $4.7B|Raised $572.3M

LinkedIn 300K|Website|Web traffic 339K|FTEs 3,484|HQ Santa Clara, California, US

MarketsData Governance Data Catalog

Platform CoversData Integration (ETL/ELT)

01Competitive Landscape

Narrative analysis

- Cloudera Data Lineage vs Microsoft Purview: Purview can be more straightforward where data movement and assets are primarily in Azure tooling because lineage collection is integrated with that ecosystem; however, users report lineage completeness and pricing/modeling challenges in some Microsoft-centric deployments. - Cloudera Data Lineage vs Collibra: Collibra is often selected when governance workflows, stewardship, and an operating model are as important as lineage. Cloudera Data Lineage focuses on automated metadata extraction and cross-system visibility. Collibra and similar platforms can coexist with or compete against Cloudera offerings depending on enterprise direction and governance priorities. - Cloudera Data Lineage vs Informatica: Informatica is often perceived as comprehensive across data management capabilities but can be expensive and complex to license; public pricing is typically not straightforward and is frequently bundle-based.

Market adoption signals (limited)

Cloudera Data Lineage (Octopai) has a presence on major review platforms, indicating market traction; buyers should validate review volumes and recency directly with current sources.

	Cloudera Data Lineage (Octopai)	Microsoft Purview	Collibra Data Lineage (within Collibra)
Starting Price	Not publicly disclosed (Contact vendor)	Published consumption-based pricing models exist; exact cost depends on usage	Not publicly disclosed in most cases; enterprise quote-based
Best For	Hybrid, multi-tool estates needing cross-system metadata extraction	Microsoft-centric estates (ADF/Synapse/Fabric/Azure) needing governance and a data map	Enterprises implementing governance operating models (catalog + stewardship workflows + lineage)
Key Strength	Focus on automatic metadata extraction and cross-system lineage visibility	Tight Azure integration; lineage relationships are integrated in data map model	Governance workflows and stewardship capabilities; broad enterprise governance feature set
Key Weakness	Review-reported lineage gaps with dynamic SQL/renames/variables; tuning overhead	Users report lineage completeness issues and pricing/modeling complexity in some environments	Cost and packaging can be complex; pricing often perceived as opaque

01Competitive Landscape

Narrative analysis

Cloudera Data Lineage vs Microsoft Purview: Purview can be more straightforward where data movement and assets are primarily in Azure tooling because lineage collection is integrated with that ecosystem; however, users report lineage completeness and pricing/modeling challenges in some Microsoft-centric deployments.
Cloudera Data Lineage vs Collibra: Collibra is often selected when governance workflows, stewardship, and an operating model are as important as lineage. Cloudera Data Lineage focuses on automated metadata extraction and cross-system visibility. Collibra and similar platforms can coexist with or compete against Cloudera offerings depending on enterprise direction and governance priorities.
Cloudera Data Lineage vs Informatica: Informatica is often perceived as comprehensive across data management capabilities but can be expensive and complex to license; public pricing is typically not straightforward and is frequently bundle-based.

Market adoption signals (limited)

Cloudera Data Lineage (Octopai) has a presence on major review platforms, indicating market traction; buyers should validate review volumes and recency directly with current sources.

	Cloudera Data Lineage (Octopai)	Microsoft Purview	Collibra Data Lineage (within Collibra)
Starting Price	Not publicly disclosed (Contact vendor)	Published consumption-based pricing models exist; exact cost depends on usage	Not publicly disclosed in most cases; enterprise quote-based
Best For	Hybrid, multi-tool estates needing cross-system metadata extraction	Microsoft-centric estates (ADF/Synapse/Fabric/Azure) needing governance and a data map	Enterprises implementing governance operating models (catalog + stewardship workflows + lineage)
Key Strength	Focus on automatic metadata extraction and cross-system lineage visibility	Tight Azure integration; lineage relationships are integrated in data map model	Governance workflows and stewardship capabilities; broad enterprise governance feature set
Key Weakness	Review-reported lineage gaps with dynamic SQL/renames/variables; tuning overhead	Users report lineage completeness issues and pricing/modeling complexity in some environments	Cost and packaging can be complex; pricing often perceived as opaque