Collibra provides an enterprise data and AI governance platform that centralizes cataloging, lineage, quality, privacy, and model management across hybrid and multi‑cloud environments. The solution ingests metadata, applies machine‑learning profiling, and enforces policy controls via automated workflows, delivering a searchable catalog and real‑time observability for compliance and analytics. It integrates with BI, cloud warehouses, and ML tools through APIs and pre‑built connectors.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises increasingly operate across hybrid and multi‑cloud environments where data assets are siloed, poorly documented, and subject to evolving privacy and compliance regulations. This fragmentation makes it difficult to discover, trust, and responsibly use data and AI models, leading to operational risk and delayed insight generation.
Solution
Collibra delivers a unified data and AI governance platform that centralizes cataloging, lineage, quality, privacy, and AI use‑case management. The platform ingests metadata from diverse sources, applies machine‑learning profiling to surface data issues, and enforces policy controls through automated workflows. Users can browse trusted data assets via a searchable catalog, trace transformations with visual lineage, and monitor data health in real time. AI governance adds model inventory, risk scoring, and continuous monitoring to ensure responsible AI deployment. All capabilities are exposed through RESTful APIs and pre‑built connectors, enabling seamless integration with analytics, BI, and cloud data warehouses. The result is a single source of truth that reduces compliance overhead, accelerates analytics, and safeguards AI initiatives.
Target Audience
Primary customers are large enterprises—data engineers, data stewards, analytics teams, compliance officers, and AI/ML practitioners—across regulated industries such as finance, healthcare, life sciences, energy, and retail.
Features
- Enterprise‑wide data catalog with AI‑enhanced metadata discovery for structured and unstructured assets.
- Automated data lineage mapping at column level, visualizing end‑to‑end data flows across systems.
- Machine‑learning driven data quality & observability engine that generates adaptive rules and alerts on anomalies.
- Privacy & PII management module that classifies sensitive data, enforces GDPR/CCPA policies, and provides audit‑ready reporting.
- AI Governance catalog that inventories models, tracks usage, assesses risk, and monitors performance drift.
- No‑code policy authoring and workflow automation for data access, remediation, and compliance enforcement.
- Open integrations and SDKs (REST API, TypeScript, React plugins) for BI tools (Tableau, Power BI), cloud platforms (Snowflake, AWS, Google Cloud), and enterprise applications.
- Role‑based access control, end‑to‑end encryption, and SOC 2/ISO 27001 certified security framework.
- Data marketplace and self‑service portal that enables business users to request and provision data assets on demand.
- Collaborative governance hub with discussion threads, annotations, and versioned documentation for cross‑functional teams.