AI-Powered Google BigQuery Analytics
Unlock the power of your BigQuery data warehouse. Dataki translates your natural language queries into optimized SQL to build blazing-fast dashboards. Stop wrestling with complex BI tools. Ask Dataki a question and get a beautiful dashboard instantly.
The answer is still there tomorrow.
Ask in plain language. Dataki writes the SQL, runs it against your warehouse and draws the chart. Anything worth keeping becomes a dashboard with a link — not a message that scrolls away.
Which channels actually brought in revenue last quarter?
SELECT channel,
SUM(amount) AS revenue
FROM payments
WHERE created_at >= DATE_TRUNC(CURRENT_DATE(), QUARTER)
GROUP BY channel
ORDER BY revenue DESCRevenue by channel
Q3 · 5 rows
- Organic search
- $412,900
- Partner referral
- $268,400
- $151,200
- Paid social
- $96,700
- Direct
- $61,300
One click later, that chart is a dashboard of its own:
Live, not a screenshot. It re-runs the query on a schedule, so the number your team reads on Friday is Friday's number.
- Share the link with anyone. Viewers are free on every plan.
- Edit the SQL by hand whenever the model gets the logic almost right.
- Drop the same dashboard into your own product with one line of HTML.
Using Dataki with Google BigQuery
- Can I query Google BigQuery in plain English instead of writing SQL?
- Yes. Dataki reads your Google BigQuery schema, turns a plain-English question into a query, runs it against Google BigQuery and returns a chart. The generated query is shown with every result, so you can verify or edit it.
- How do I build a dashboard from Google BigQuery data without an ETL pipeline?
- Connect Google BigQuery to Dataki with a read-only connection, ask your question, and keep the answer as a dashboard widget. Dataki queries Google BigQuery directly at read time, so there is no pipeline to build, no warehouse to sync into and no copy of your data to keep current.
- Can an AI assistant like Claude or Cursor query my Google BigQuery data?
- Yes. Dataki's MCP server lets any Model Context Protocol client query Google BigQuery through a governed connection. The assistant gets results back; your Google BigQuery credentials stay encrypted in Dataki and are never handed to the model.