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.
Learn MoreJoint Customer Case Studies
Chime breaks down barriers to accelerate innovation
My favorite part about DataHub is the lineage because this is one really easy way of connecting the producers to the consumers. Now the producers know who is using their data. Consumers know where the data is coming from. And it is easier to have accountability mechanisms.
Challenge
Siloed teams where data producers and consumers weren’t communicating, leading to hidden data issues that impacted business insights
Solution
Implemented DataHub Cloud as a central platform with X-platform lineage, ownership tracking, and proactive data quality monitoring
Impact
Improved collaboration, ownership, and seamless integration of metadata with a centralized, scalable platform
