Google BigQuery
Google BigQuery

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?

  1. 01

    Which campaigns produced profitable orders?

  2. 02

    Where did acquisition cost rise last month?

  3. 03

    Compare conversion and revenue by market.

How it works

From source to verified answer.

  1. 01

    Authorize

    Connect using your Google account through OAuth.

  2. 02

    Scope

    Choose the projects and tables Aten may use.

  3. 03

    Ask

    Run a question live and verify the SQL behind it.

01

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.

02

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.

03

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.

04

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