Collibra vs DataHub

Collibra Platform connects data producers and consumers and brings together structured and unstructured sources for trusted, AI-ready data. Its product stack includes AI Command Center, Data Catalog, Data Privacy, Data Governance, Data Quality & Observability, Data Lineage and Data Marketplace. Collibra AI Governance lets organizations catalog, assess and monitor AI use cases, models and agents. Automated workflows coordinate governance decisions and help address knowledge gaps, while Data Quality & Observability offers profiling and automated or custom monitoring to detect and address anomalies. Data can be collected through Excel or CSV imports, JDBC connectors, native integrations, APIs or manual creation. Collibra says it offers 100+ native integrations, partner integrations and APIs. Its Collibra Everywhere extension shows business context in web applications and BI tools including Salesforce, Databricks, Tableau and Slack. Product versions include Collibra Platform and Collibra Platform Self-Hosted. The company was founded in Belgium in 2008 and is headquartered in New York and Brussels. Pricing is on request; support is available during normal business hours and around the clock for Severity 1 incidents.

DataHub brings technical metadata, business knowledge, and documentation together for enterprise data and AI agents. It is available as self-hosted Core or as managed DataHub Cloud. Cloud provides natural-language search, an Ask DataHub chat agent, smart ranking, and a hosted MCP server that connects AI tools to its catalog. Its observability tools run automated schema, freshness, volume, and custom quality checks, with AI anomaly detection and incident workflows. Cross-platform, column-level lineage traces data from sources through transformations and AI models to downstream assets. DataHub Cloud has more than 100 pre-built connectors and names Slack, Microsoft Teams, Chrome, and BI tools among its native integrations. Cloud is described as SOC 2 compliant, with role- and attribute-based access controls and an in-VPC execution option for sensitive sources. Cloud availability is described as SLA-backed at 99.5%. DataHub Core is free to deploy, but requires users to handle installation, configuration, upgrades, uptime, and troubleshooting. Cloud pricing depends on data volume, users, and selected capabilities. A Google Cloud offer advertises a 21-day Cloud trial with a dedicated instance and full platform access.