AI-Powered Cloud Firestore Analytics
Query Firestore collections in plain English. Google's Firestore to BigQuery extension keeps a live copy of each collection, and Dataki answers questions about your documents from it.
Through BigQuery Google's Firestore to BigQuery extension. The guide takes about 15 minutes.
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 Cloud Firestore
- Can I query Cloud Firestore in plain English instead of writing SQL?
- Yes, once Cloud Firestore data is in BigQuery. Dataki has no Cloud Firestore connector of its own; it reads the dataset the data lands in (Google's Firestore to BigQuery extension), turns a plain-English question into SQL against it, runs it 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 Cloud Firestore data without an ETL pipeline?
- Set up the route in the Cloud Firestore setup guide once. The copy into BigQuery then runs on its own, so there is no pipeline for you to maintain. Connect that dataset to Dataki, ask your question and keep the answer as a dashboard widget; Dataki queries the dataset at read time, so the dashboard is as fresh as the export.
- Can an AI assistant like Claude or Cursor query my Cloud Firestore data?
- Yes. Dataki's MCP server lets any Model Context Protocol client query Cloud Firestore data through a governed connection. The assistant gets results back; the credentials stay encrypted in Dataki and are never handed to the model.