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Ask Firebase Analytics and Crashlytics questions in plain English. Firebase's free BigQuery export puts active users, releases and crashes one question away.

Through BigQuery Firebase's BigQuery export. The guide takes about 5 minutes.

Follow the setup guide Open Dataki
dataki.ai / firebase
Which release crashed on the most devices this week?
Querying BigQuery · firebase_crashlytics…

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.

app.dataki.ai / chat

Which channels actually brought in revenue last quarter?

Queried bigquery · payments · 1.2 GB scanned 
SELECT channel,
       SUM(amount) AS revenue
FROM   payments
WHERE  created_at >= DATE_TRUNC(CURRENT_DATE(), QUARTER)
GROUP BY channel
ORDER BY revenue DESC

Revenue by channel

Q3 · 5 rows

Organic search
$412,900
Partner referral
$268,400
Email
$151,200
Paid social
$96,700
Direct
$61,300

One click later, that chart is a dashboard of its own:

app.dataki.ai/d/revenue-by-channel

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.
Start free See how it works

Using Dataki with Firebase

Can I query Firebase in plain English instead of writing SQL?
Yes, once Firebase data is in BigQuery. Dataki has no Firebase connector of its own; it reads the dataset the data lands in (Firebase's BigQuery export), 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 Firebase data without an ETL pipeline?
Set up the route in the Firebase 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 Firebase data?
Yes. Dataki's MCP server lets any Model Context Protocol client query Firebase data through a governed connection. The assistant gets results back; the credentials stay encrypted in Dataki and are never handed to the model.