Canonical: https://instain.ru/en/ai/databricks-genie/
Language: en

Databricks  Data Requests Agents

# Databricks Genie Agents. 

Ask questions in plain language about curated Unity Catalog data

4.35 / 5    [Directory score](https://instain.ru/en/ai/databricks-genie/#editorial-rating) [Official website ](https://docs.databricks.com/aws/en/genie-agents/)

Genie Agent works with selected Unity Catalog data. The analyst describes business terms and examples, and users ask questions across an agreed area.

![Databricks documentation with Genie Agents review](https://instain.ru/assets/images/databricks-genie-screen-a7cdfbdc9e82-1200.webp)

Databricks documentation with Genie Agents review.  [Open the source ](https://developers.databricks.com/docs/lakehouse/genie)

## What is an Active Client

Sales and support may use the same name for two different metrics. A Genie Agent answers using curated data once an analyst supplies tables, instructions, and SQL examples. For the first test, define which event makes a customer active and over what period. Specify whether test records count and which time zone applies. Settle these details before colleagues start asking in their own words.

## Test Question and SQL Checker

Build small sample tables with duplicate actions and customers with no new activity. Ask for active customers by week and compare the result with the analyst’s query. Check the date field, how duplicates were removed, and whether the first partial week was included. Then rephrase the question and verify that the metric definition still holds.

If a question can mean two things, add a clarification to the agent instructions. Asking which definition the user means can be more useful than returning a number without context.

## Checking access in the workspace

Run the same query under accounts with different roles. Check opening tables and the ability to view SQL. Separately evaluate the time and load on calculations for several characteristic requests. When updating the scheme, go back to the control examples so that a new field with a similar name does not change the meaning of the answer imperceptibly.

## Suitable tasks

- Address differences in indicator definition

- Verify received SQL with a control request

Features 

## Strengths

- Allows you to specify examples and terms for a limited subject area

- Shows query results and available SQL context

Things to consider 

## Limitations

- Configure permissions and visible data before use

- An incomplete metric definition can produce a plausible but incorrect answer

## Selection and conditions

Free access

Not confirmed

Trial period

Not confirmed

No sign-up required

Not confirmed

Russian interface

Not confirmed

Local installation

Not confirmed

API

Yes

“Not confirmed” means there is not enough information. The feature may still be available; check the developer’s terms.

Input formats

Text, Data

Result

Code, Data

### Terms

Cost depends on your plan and the compute used for queries. Check the current terms for your workspace. Configure permissions and visible data before use.

From task to first result

## Practical example

Task

Address differences in indicator definition

What to prepare

A practice database without personal information and a question about its contents.

### Task brief or prompt

Task for a configured agent: show monthly order counts from the practice database. First check the tables and field meanings, then prepare a read only query. Do not modify records; compare the result with an independent control query.

### Expected result

A query and answer from the practice database with verifiable selection criteria.

### How to check the result

- Check JOINs, filters, dates and duplicate counting.

- Use the least permissions needed; do not invent a value when a row is absent.

An editorial teaching example of a task brief, not the result of hands-on testing of the service. Check that the required mode is available, that you have rights to the source material and that the intended use of the result is permitted.

Check details

## Official sources

-  [Official review of Genie Agents ](https://docs.databricks.com/aws/en/genie-agents/)

-  [Databricks Genie developer's manual ](https://developers.databricks.com/docs/lakehouse/genie)

-  [Calculations and platform conditions ](https://www.databricks.com/product/pricing)

This description is based on the developer’s material. Features, prices and availability may change; check the primary source before use.

About the tool

Developer

Databricks

Category

[Code](https://instain.ru/en/category/code/)

Access

You need a Databricks workspace with prepared tables, a compute resource, and appropriate permissions. Requirements vary by setup.

Payment

Cost depends on your plan and the compute used for queries. Check the current terms for your workspace.

API

Yes, from the developer

[Developer terms ](https://www.databricks.com/product/pricing)

Directory score

4.35 / 5 

Features

4.50 / 5 

Workflows

4.10 / 5 

Ecosystem

4.30 / 5 

Documentation

4.50 / 5 

Scores are an editorial guide to the directory. They are not user reviews or the results of personal testing.

[See the methodology ](https://instain.ru/en/methodology/)

Keep exploring

## For similar tasks

[Full category  ](https://instain.ru/en/category/code/)

Code 

###  [Vanna](https://instain.ru/en/ai/vanna/)

Natural language queries with user permissions and example memory

4.33 / 5   Platform  

Local installation available