DATA WAREHOUSE

Analyze your PostgreSQL data in plain English.

Chat with your Postgres — ask any question across your production tables in plain English.

PostgreSQL data analysis questions

→ "Chat with my Postgres: who are my top 10 customers by revenue this month?"
→ "Build me a CRUD admin for my orders table without writing any code."
→ "Which tables grew the most in row count over the last 30 days?"
→ "Find rows in my users table with missing or malformed email addresses."
→ "Generate a dashboard for my key product metrics, refreshed nightly."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick PostgreSQL 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 tables Every table in the schemas you grant access to, queryable by name.

information_schema Table and column metadata Tablize reads to understand your schema.

Common workflows

Production admin layer

Build Tablize apps that act as a read/write admin panel over your Postgres — no Retool, no hand-built internal tool.

Your PostgreSQL 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 PostgreSQL is authorized, tables like your tables and information_schema 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 “Chat with my Postgres: who are my top 10 customers by revenue this month?” 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 a read/write admin panel over your Postgres — no Retool, no hand-built internal tool.

Try PostgreSQL with Tablize.

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

Try free with your data