DataHub + Snowflake: Enterprise Data Context for AI
Add business context, governance, and lineage to your Snowflake Data so teams can move faster with confidence.
Built to Work with Snowflake
DataHub’s Snowflake integration is designed for reliability and ease of use. As an official partner, we maintain deep compatibility and deliver updates aligned with Snowflake’s evolving capabilities.
Premier Data Cloud Product Partner
Priority support and roadmap alignment with Snowflake ensures your implementation stays current with the latest platform capabilities.
Snowflake Ready Technology
Validated integration tested and certified by Snowflake engineers guarantees reliable, production-grade performance.
Snowflake Horizon Partner
Bi-directional metadata sync across your entire data stack keeps metadata consistent between Snowflake and all connected platforms.
A Stronger Foundation for Analytics and AI in Snowflake
Accelerate Snowflake Adoption
- Make data search and exploration accessible to business users, even those with no SQL knowledge
- Onboard analysts in minutes and free up engineering teams from addressing “where’s that data?” questions
- Keep metadata consistent across platforms using bidirectional sync with Snowflake Horizon
- Buy DataHub on the Snowflake Marketplace using your existing Snowflake committed spend
Enrich Snowflake Intelligence with Context from your Entire Data Stack
- Get smarter answers with access to business context, relationships, and glossary terms
- Access context from from outside the boundaries of your Snowflake environment, including documents in Notion or Confluence, business glossaries and ontologies, or metrics in your BI tool or semantic layer.
- Transform Cortex agents into intelligent analysts
Understand Data Flow with End-to-End Lineage
- Understand how data flows from the source, through transformation, to your dashboards, AI models, and data products.
- When data pipelines break, find the source of the problem immediately.
- See exactly what will break downstream before you modify a table.
Build Trust with Data Quality Metrics
- Snowflake shows what data you have—DataHub shows whether to trust it.
- Surface health scores, freshness, and usage patterns in one view
- Guide teams to your most reliable datasets and automatically archive stale, unused assets
Establish Governance from Day One
- Build discoverability into your data platform from the start
- Centralize metadata without duplicating data
- Keep processing in Snowflake, collaboration in DataHub
DataHub and Snowflake are Building the Future of Data Interoperability Together
DataHub is proud to join Snowflake and industry leaders in supporting the Open Semantic Interchange (OSI), an open source initiative creating a universal specification for standardizing data definitions with an open, vendor-neutral semantic model specification.
Joint Customer Case Studies
FINANCIAL TECHNOLOGY
Chime breaks down barriers to accelerate innovation
Organizational silos separated Chime’s data producers from data consumers, hiding data issues and impacting business insights. Now, cross-platform lineage establishes clear ownership, continuous monitoring catches quality issues early, and unified metadata enables cross-team collaboration.
Additional Resources
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See how DataHub Cloud transforms enterprise data management with AI-powered discovery, intelligent observability, and automated governance for the AI era.