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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Collibra
Collibra

Collibra

Founded by Felix Van de Maele in 2008

Govern enterprise data, catalog assets, and audit models

Pricing model

Demo

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Collibra to catalog enterprise data, monitor data quality, and oversee artificial intelligence agents across your organization. It connects to various databases and applications to map where data originates and how it moves through your pipelines. You can define standardized business terms, enforce access permissions, and ensure compliance with complex regulatory standards. The system also prepares unstructured files like emails and documents for machine learning models while auditing agent behavior and sensitive information to avoid operational risks across departments.

What Collibra does

Create custom data quality validation rules without codeMap relationships between business terms and technical metadataInspect data pipelines and visual lineage graphsScan unstructured documents for sensitive PII before model trainingReview and approve data access requests in a central portalAudit the behavior and outputs of deployed AI agentsPublish certified data products to the internal marketplaceVisual data lineage tracking across all enterprise systemsCentralized data catalog with automated metadata harvestingContinuous data quality monitoring and custom validation rulesAI Command Center to track and audit deployed modelsDeasy Labs pipeline to curate unstructured emails and documentsSelf-service data marketplace for discovering certified data productsAutomated policy enforcement for data privacy and regulatory compliance

Pricing breakdown

Pricing model: Book a demo

Frequently asked

DatabricksDatabricksMicrosoft SharePointMicrosoft SharePoint

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Collibra, Data Governance and Management, data catalog, data lineage, data quality, data observability, data marketplace, AI governance, AI command center, ontology, metadata management, context governance, data privacy, regulatory compliance, unstructured data curation