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Datarelix Ask your data. Verify every answer. Build your dashboards.

Ask your database in plain English. Datarelix runs transparent, read-only queries you can verify, then lets you build refreshable dashboards or export the results.

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  • Read-only, always
  • Credentials stay out of the model
  • Sign in with Google, Microsoft, or email
Example run — illustrative data.
Top 10 customers by revenue last quarter? read-only

Datarelix · planning → executing

SELECT c.name, SUM(o.total) AS revenue
FROM customers c
JOIN orders o ON c.id = o.customer_id
WHERE o.created_at >= DATE_TRUNC('quarter', NOW())
GROUP BY c.id, c.name
ORDER BY revenue DESC
LIMIT 10;

Result · 10 rows · 312 ms

Example result — 10 rows in 312 milliseconds
Customer Revenue
Enterprise Plus$352,940
Acme Corp$284,110
Globex$219,803
Initech$201,442
…6 more rows

Tables used · customers, orders

Works with the database you already run

  • PostgreSQL
  • MySQL
  • Azure SQL
  • Databricks SQL
  • Kusto
  • BigQuery
  • Amazon Athena
  • Elasticsearch
  • Snowflake
  • Files & Object Storage
dashboards

Keep the answer. Refresh the data.

Pin any chart to a dashboard and refresh it whenever you need current numbers.

  • Pin it by asking

    “Add this to my Sales dashboard” in the conversation puts the chart there.

  • Refresh one card or all of them

    A refresh re-runs the stored query and redraws the stored chart definition. Cards built from the same question refresh together.

  • Take the chart with you

    Download a chart as PNG or SVG from any answer, ready for a deck or a doc.

trust

Evidence, visibility, control

  • Evidence with every answer

    Each answer shows the query that ran, the tables it read, the row count, and how long it took.

  • Visible progress

    You see each phase as it runs, and what it produced — no waiting on an opaque spinner.

  • Controlled execution

    Read-only by design — every statement must pass a read-only validator before it runs. The step that runs generated code is cut off from the internet entirely.

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ask. query. analyze.

Point it at your database and ask something you already know the answer to.

Every answer shows the query that ran, the tables it read, and how long it took.

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