MySQL analytics, without the export
MySQL is where a lot of companies keep the application database, and often it is the oldest system still running in production.
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What teams ask of MySQL
Typed the way you would say them. Each answer comes back with its chart, its numbers and the SQL that produced them, so it can be checked before anyone acts on it.
- “How many active accounts are there by status, and how has that moved month over month?”
- “What does daily order volume look like against the same week last year?”
- “Which customers signed up but never got as far as the step that matters?”
- “Which of last quarter's new accounts are still ordering?”
What it is combined with
The questions that matter rarely live in one system. An agent can hold more than one source: ask a question that spans them and Supaboard queries each one, then combines the results, so the comparison happens when the question is asked rather than in a pipeline project that has to be scoped first.
How the connection works
MySQL is one of the 12 databases and warehouses you can connect yourself. It connects directly and is queried when a question is asked, with nothing copied ahead of time, so setting up a first analysis takes about 5 minutes.
MySQL connects on a host, a port and a database, with no separate schema to pick. If the database is not reachable from the internet, the same form will tunnel over SSH using either a password or a private key. The databases offered in the dropdown are only the ones your credentials can actually open.
- Database and warehouse queries are read-only. Changes to connected apps require your approval.
- Credentials are encrypted at rest, scoped per workspace, never logged and never returned to a client.
- On the Enterprise plan the whole platform runs inside your own VPC. Supaboard receives no platform data; inference follows the model endpoint you configure. See Enterprise.
- A free plan with no credit card, then from $19 per editor per month — see pricing.
More sources
Other connectors with a guide:
Also in Databases & warehouses: PostgreSQL, Microsoft SQL Server, Oracle, MongoDB, Supabase, Snowflake, BigQuery, AWS Redshift, Databricks, ClickHouse, MotherDuck. See how files, databases and warehouses connect.
Weighing this against another tool? See the sourced comparison of 14 BI platforms, or what an AI data analyst does with a connection like this one.
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