Approved context before SQL
Choose a ready Knowledge scope or selected table. Approved metrics, joins, values, and source rules guide the query.
TribeBlend turns plain-language questions into governed Databricks queries, then returns a result-backed answer with its SQL, filters, and business context visible.
Choose a ready Knowledge scope or selected table. Approved metrics, joins, values, and source rules guide the query.
Validated answers come from the Databricks result, not unsupported model prose.
AI runs in the desktop app. Read-only SQL executes in Databricks under the analyst's existing permissions.
TribeBlend applies approved context and validates read-only SQL before execution. Databricks runs the query under the analyst's permissions, and the answer returns with the SQL and Trust Packet visible.
Show me Q3 revenue by region, top first
Source: main.sales.orders
EMEA led Q3 revenue at €12.4M, followed by North America at €8.9M.
Applied filter: fiscal_quarter = Q3
Inline result · 3 rows
Databricks| Region | Revenue |
|---|---|
| EMEA | €12.4M |
| North America | €8.9M |
| APAC | €4.1M |
SELECT region,
SUM(amount) AS revenue
FROM main.sales.orders
WHERE fiscal_quarter = 'Q3'
GROUP BY region
ORDER BY revenue DESC;Three controls enterprise teams can verify during evaluation.
Every validated SQL answer is grounded in the executed Databricks result.
The Trust Packet shows the source, certified joins, applied filters, and validation state.
Ask SQL stays read-only and visible. Data Editor write-back remains a separate, explicit workflow.
Result-backed
TribeBlend validates read-only SQL before execution, then grounds the answer in the returned Databricks result.
Book a guided walkthrough using your Databricks workflow.