Manta vs Collibra
Side-by-side comparison of AI visibility scores, market position, and capabilities
Manta is an automated data lineage platform that traces data flows across the full technology stack, providing impact analysis and compliance documentation for enterprise data teams.
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Manta is an automated data lineage platform that traces the complete flow of data across an enterprise's technology stack — from source databases and files through ETL tools, data warehouses, data lakes, BI platforms, and application code — by parsing the technical artifacts that define data transformations (SQL code, ETL job configurations, stored procedures, and application logic) and constructing a comprehensive lineage graph that documents every transformation step data undergoes from origin to consumption. Unlike catalog platforms that capture lineage only from query logs or metadata APIs, Manta's code-parsing approach captures lineage from the actual transformation logic even for data flows that are not logged at runtime, providing complete lineage coverage for complex enterprise environments with heterogeneous transformation tooling that mixes SQL, stored procedures, custom ETL code, and BI tool calculations.
Collibra is a leading data intelligence platform providing enterprise data catalog, governance, lineage, and quality capabilities for regulated and data-driven organizations.
About
Collibra is a data intelligence platform that provides enterprise organizations with a unified environment for data catalog, data governance, data lineage, and data quality management — covering the full lifecycle of data trust from asset discovery and documentation through policy enforcement and compliance reporting. The platform's data catalog provides a searchable inventory of data assets enriched with business context — business glossary terms, data classifications, ownership assignments, and stewardship workflows — that allows data consumers to find, understand, and trust data before using it in analytics, reporting, or decision-making. Collibra's governance framework enables organizations to define data policies, assign stewardship responsibilities, manage data requests through structured workflows, and track policy compliance across the data landscape — critical capabilities for regulated industries where data handling must be documented and auditable.
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