DATA WAREHOUSE

Connect Snowflake to Tablize.

Run conversational analytics over your Snowflake warehouse — no SQL writing required.

What you can ask once you're connected

→ "Which Snowflake queries are most expensive — candidates for optimization?"
→ "Show me daily warehouse credit consumption trend by warehouse name."
→ "Find queries that scan more than 1 TB of data per execution."
→ "Build me a dashboard for cost-per-query by team or user."
→ "Compare Snowflake query latency before and after our last clustering change."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick Snowflake and follow the OAuth flow (or paste an API key, depending on the connector).
Run your first sync. Tablize pulls historical data and sets up an incremental cursor so future syncs stay fresh.
Open a new chat and ask your first question. Tablize already knows the schema.

What lands in your workspace

your warehouse Tablize queries any Snowflake database/schema you grant access to.

Common workflows

Cost optimization brief

Weekly: top expensive queries, recommended materialization candidates, idle warehouses.

Tablize connects to Snowflake via OAuth (or API key, depending on the connector). Once authorized, Snowflake data flows into a dedicated schema in your workspace’s PostgreSQL — fully queryable by SQL or by the Tablize agent in plain English. Syncs run incrementally, so once the historical backfill is done, only new and changed records move on each run.

If you’ve never used a Data Agent before: think of Tablize as the analyst you’d hire to make sense of Snowflake — except always on, instantly available, and able to keep the good answers as reports, scripts, dashboards, or watches.

Try Snowflake with Tablize.

Free to try on your own data. Your first answer in under 60 seconds.

Try free with your data