DataHub vs OpenMetadata

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.

OpenMetadata is an open-source platform for cataloging and governing data, bringing technical context, business meaning and organizational memory into a knowledge graph. Its capabilities include discovery, data quality, observability, lineage, semantics and memory. The graph connects schemas, tables, columns, dashboards, pipelines, ML models, owners and classifications. Glossary terms, metric definitions and relationships using RDF, OWL, DCAT and Schema.org help represent shared business meaning. For AI workflows, OpenMetadata provides an MCP server, an AI SDK and a Context Center for articles, documents and memories. Its ingestion framework has connectors for 130+ data services, including Airflow, BigQuery, Databricks, dbt, Kafka, MySQL, Snowflake and Tableau. The schema-first architecture includes 700+ open specifications in JSON Schema and RDF/JSON-LD. It can be deployed in an organization's own environment, explored in a live sandbox with demo data, or used through a free cloud service with the organization's data. The self-hosted plan is listed at free, with no usage limits stated. Security documentation describes stored-secret encryption, SSL/TLS connections and external secrets manager support.