Ask your BigQuery warehouse anything
Queries run live against your warehouse. No data is copied out.
Connection
Google OAuth
Data location
Queried where it lives
Control
Table-level selection
Start with a real question
What could you ask Google BigQuery?
- 01
“Which campaigns produced profitable orders?”
- 02
“Where did acquisition cost rise last month?”
- 03
“Compare conversion and revenue by market.”
How it works
From source to verified answer.
- 01
Authorize
Connect using your Google account through OAuth.
- 02
Scope
Choose the projects and tables Aten may use.
- 03
Ask
Run a question live and verify the SQL behind it.
Warehouse answers without the queue
A warehouse is only useful to the people who can query it. Aten lets anyone on the team ask in plain language and get a chart back, without filing a request or learning SQL.
Connect with your Google account — there are no service-account keys to generate and pass around.
Live queries, nothing copied
Aten queries your BigQuery tables where they live. No extract, no sync, no duplicate copy of your warehouse sitting somewhere else getting stale.
You keep one source of truth, and the answer you get reflects what is in the warehouse right now.
Read-only and revocable
Queries run through Aten’s read-only connection path, and only read statements are accepted. You choose which tables are visible, and access can be revoked from your Google account at any time.
The Google consent screen asks for the full BigQuery scope rather than the read-only one. That is a constraint of Google’s API — running any query requires a permission the read-only scope does not grant. We explain exactly why on the security page rather than leaving you to find it on the consent screen.
Every number traces back to its query
Warehouse questions are the ones most likely to end up in a board deck, which makes verification worth more than speed. Every answer Aten gives comes with the SQL behind it, so any figure can be checked against the source.
Ask the question. Keep the logic visible.
Connect Google BigQuery, get an answer, and inspect the query behind every number.
Connect BigQuery and ask your first question