Dwh.dev maps column-level data lineage across Snowflake pipelines, tracking schema changes and dependencies, with a free tier and Pro from $3,000/month.
Dwh.dev is a data lineage tool focused specifically on Snowflake data warehouses rather than trying to cover every possible database and BI tool generically. It gives data teams a visual, searchable map of how data moves and transforms across tables, views, and Snowflake-specific objects like Dynamic Tables, Streams, Tasks, and Pipes, down to the level of individual columns.
The company positions itself as solving a common pain point in data engineering: when a schema or pipeline changes, teams often don't know what downstream reports, dashboards, or jobs will break until something fails in production. Dwh.dev was recognized as a Startup Battlefield company at TechCrunch Disrupt, signaling investor and industry interest in its approach, though its exact founding year and headquarters are not consistently confirmed across public sources.
Dwh.dev's lineage engine is built on a static SQL analyzer that parses queries, compiles them into an internal representation, and traces dependencies automatically, rather than relying solely on a live connection to the warehouse. This enables an offline mode, so teams can analyze lineage without granting the tool direct access to production credentials at all times.
The platform handles Snowflake-specific complexity like JOIN and WHERE clause dependencies, strong versus weak dependencies, and circular references, and integrates with dbt and Looker to extend lineage visibility from raw ingestion through to BI dashboards. It also includes cost tracking for CTAS operations and native Snowflake alerts that notify teams when upstream or downstream objects change.
Dwh.dev offers a free tier limited to one project and 100 tracked objects, enough for evaluating the tool on a small pipeline or proof of concept. Beyond that, the Pro plan is priced at $3,000 per month and supports unlimited projects with up to 5,000 objects, positioning it clearly as an enterprise-grade data infrastructure tool rather than a self-serve developer tool.
Organizations with larger or more complex Snowflake environments can move to a custom-quoted Enterprise plan that includes dedicated support. Dwh.dev is also available directly through the Snowflake Marketplace as a native app, which can simplify procurement for teams already standardized on Snowflake.
Yes, it is purpose-built for Snowflake data warehouses and their specific object types like Dynamic Tables, Streams, and Tasks.
Yes, a free tier supports 1 project and up to 100 tracked objects.
The Pro plan is $3,000/month for unlimited projects and up to 5,000 objects; larger deployments require custom Enterprise pricing.
Yes, its static SQL analysis supports an offline mode that doesn't require constant direct access to the warehouse.
Yes, it integrates with dbt and Looker to extend lineage from ingestion through BI dashboards.