Connect. Govern. Query. Here's the whole journey.

minutes per source

Add a catalog for each database or warehouse — host, port, and a login; a read-only user is enough. Credentials are encrypted at rest and never leave the server, and there's no agent to install in your network.

minutes in the UI

Create groups and grant access down to the catalog, schema, or table. Layer row-level security and column masking on top where you need them. Rules are enforced inside the engine at query time — the same for every tool.

first cross-source query, same day

Open the SQL editor and join across sources in a single statement — or point DBeaver, Tableau, or any standard-driver BI tool at your Datattach connection. Everyone sees exactly what their rules allow.

when you're ready

Point dbt-core or dbt Cloud at the same connection with stock dbt-trino — no custom adapter. Models can join across sources, and SaaS ingestion declared in your project lands data in your warehouse on every dbt run.

when you're ready

Datattach ships an MCP server, so Claude and other agents can explore schemas and run cross-source queries through the same connection your team uses — under the same per-user access rules, with every agent query landing in the audit trail.

you    › which EU customers grew fastest last quarter?

agent  › calling tool: query
        SELECT c.name, o.growth_pct
        FROM   postgres.crm.customers c
        JOIN   snowflake.sales.growth o ON o.id = c.id
        WHERE  c.region LIKE 'EU-%'
        ORDER  BY o.growth_pct DESC

        ✓ 12 rows · 2 sources · row filters applied