DataHub vs Metamapper

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.

Metamapper has no write-up on Specifiction yet; its figures are above.