DATA WAREHOUSE

Analyze your MySQL data in plain English.

Chat with your MySQL database — query, analyze, and build dashboards in plain English.

MySQL data analysis questions

→ "Chat with my MySQL: show me daily order volume for the last 90 days."
→ "Build me an admin page to update product inventory without phpMyAdmin."
→ "Which queries against my MySQL would benefit most from an index?"
→ "Find duplicate customer records across my MySQL tables."
→ "Generate a revenue dashboard from my MySQL orders table."

How to connect

Sign in to Tablize and open the Integrations page in your workspace.
Pick MySQL 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 databases you grant access to, queryable by name.

information_schema Schema metadata Tablize reads to understand your tables and columns.

Common workflows

No-phpMyAdmin ops

Build a Tablize admin page so your team can browse and edit MySQL data without database tools or raw SQL.

Your MySQL 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 MySQL 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 MySQL: show me daily order volume for the last 90 days.” 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 — No-phpMyAdmin ops: Build a Tablize admin page so your team can browse and edit MySQL data without database tools or raw SQL.

Try MySQL with Tablize.

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

Try free with your data