DATA WAREHOUSE

Analyze your Supabase data in plain English.

Connect Supabase Postgres and ask any question over your app's production data.

Supabase data analysis questions

→ "Show me daily active users from auth.users sign-in events."
→ "Build me a CRUD admin for my users table."
→ "Find tables that have grown more than 50% in row count this month."
→ "Which RLS policies block the most queries?"
→ "Generate a dashboard for my app's key engagement metrics."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick Supabase 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

auth.users Supabase auth user records.

your tables All tables in your public schema, queryable by name.

Common workflows

Production admin layer

Build Tablize apps that act as your admin panel — no Retool, no Supabase Studio.

Your Supabase already holds the data; the bottleneck is who can write the query. Tablize puts a plain-English layer on top, so anyone on the team can ask — and the agent writes the SQL, runs it, and keeps the answer.

Once Supabase is authorized, tables like auth.users and your tables sync into a dedicated schema in your workspace’s PostgreSQL — incrementally, so only new and changed rows move after the first backfill. Ask something like “Show me daily active users from auth.users sign-in events.” and Tablize writes the SQL, runs it, draws the chart, and offers to keep the answer as a report, a scheduled script, or a live dashboard.

A setup teams reach for first — Production admin layer: Build Tablize apps that act as your admin panel — no Retool, no Supabase Studio.

Try Supabase with Tablize.

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

Try free with your data