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BigQuery analytics, without the export

BigQuery holds the warehouse tables, and in most companies the GA4 export is sitting in the same project.

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What teams ask of BigQuery

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.

  • “Which acquisition channel brings in users who are still here in month three?”
  • “What did a cohort do in the two weeks before it churned?”
  • “Where does the GA4 export disagree with what the product database recorded?”
  • “Which landing pages bring sessions that turn into paying accounts?”

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.

  • PostgreSQL — the traffic in the GA4 export, against the accounts your product actually created.
  • MySQL — the sessions a campaign brought, against the orders the application recorded.

How the connection works

BigQuery 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.

Connect it by signing in with Google and picking a project and a dataset from the list, or by uploading a service account key if you would rather scope the access yourself. Because the GA4 export usually lands in the same project, one connection often covers both the product tables and the traffic.

  • 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, MySQL, Microsoft SQL Server, Oracle, MongoDB, Supabase, Snowflake, 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.

Data warehouses

Ask your first question from BigQuery

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