AI-Powered MongoDB Analytics
Query your NoSQL MongoDB collections using plain English. Dataki flattens and visualizes your document data without complex aggregation pipelines. 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 MongoDB
- Can I query MongoDB in plain English instead of writing SQL?
- Yes. Dataki reads your MongoDB schema, turns a plain-English question into a query, runs it against MongoDB 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 MongoDB data without an ETL pipeline?
- Connect MongoDB to Dataki with a read-only connection, ask your question, and keep the answer as a dashboard widget. Dataki queries MongoDB 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 MongoDB data?
- Yes. Dataki's MCP server lets any Model Context Protocol client query MongoDB through a governed connection. The assistant gets results back; your MongoDB credentials stay encrypted in Dataki and are never handed to the model.