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Databricks Genie

Ground your agent in Genie's trusted data insights.

Category
Data & Analytics
Primary Subcategory
Cloud Data Warehouses & Query Engines
View in the Claude registry
Integration details

Description

The Databricks Genie connector exposes Genie as an agentic analytics tool over MCP. Claude sends a natural-language question, and Genie searches your enterprise structured and unstructured data, writes SQL, and returns an answer grounded in the Genie ontology with deep links back to your cited Databricks sources. Unity Catalog permissions are always enforced, so users and agents can only query data they're allowed to access. Ask with view_ask/genie_ask, get responses with genie_poll_response, and fetch full query datasets with genie_get_query_result if needed. Pass a conversation id to ask follow-ups in the same context. Clients that support MCP Apps render an interactive View showing Genie's progress, visualizations, and results inline.

Integration type
Connector
Verification status
Verified connector
Platform
Claude
Category
Data & Analytics

The broad Category that contains the Primary Subcategory.

Primary Subcategory
Cloud Data Warehouses & Query Engines

The Primary Subcategory used for this profile’s headline score.

Secondary Subcategories
None listed

Other Subcategories where the Integration is listed.

Brand
Databricks
Access
Account required
First tracked
2025-11-12
Tool count
5
Geography
US

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Claude Discoverability Score

Live · refreshed daily. Last refreshed

Databricks Genie in Cloud Data Warehouses & Query Engines

4/100
Invisible

#16of 19competitors

Shown to buyers in 4.5% of contested Runs.

What we measure

One core score. Three important factors to discoverability.

  • Picked

    · 4.5/100
    Sets the score

  • Found

    · 2.5/100
    Diagnostic

  • Positioned

    · 19.1/100
    Diagnostic
How this score is measured

Databricks organic discovery report

Get your full discovery report

See how Databricks appears in Cloud Data Warehouses & Query Engines, where it ranks, and how it compares with the wider Claude Connector ecosystem.

01

Your snapshot

Databricks's score and Cloud Data Warehouses & Query Engines position

02

Industry report

State of Agent Discovery

30-day industry report

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Primary Subcategory

Competing in Claude Cloud Data Warehouses & Query Engines

View Category
#16 of 19ranked by public Discoverability Score
Primary Subcategory
1Omni Analytics64/100
2Polar Analytics50/100
3dbt32/100
4Google Cloud BigQuery31/100
5Snowflake21/100
16Databricks Genie4/100
Recommended guideHow to get your Claude Connector organically discoveredFollow the practical steps agents use to find, shortlist, and choose your Connector.Read guide
Tools

5 tools agents can invoke

Databricks Genie FAQ
How do I improve a Verified connector's discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Databricks Genie alternatives on Claude?

As of 2026-09-28, Databricks Genie competes with Omni Analytics, Polar Analytics, dbt, Google Cloud BigQuery, Snowflake, Amplitude, DataHub, Mixpanel, Supabase, Aleph, PostHog, Supermetrics Marketing Analytics, Datadog, Neon, Adobe Customer Journey Analytics, MotherDuck, Dremio Cloud, Soracom Query in Claude Cloud Data Warehouses & Query Engines, ranked by public Discoverability Score.

Where does Databricks Genie rank in Cloud Data Warehouses & Query Engines on Claude?

As of 2026-09-28, Databricks Genie ranks #16 of 19 in Claude Cloud Data Warehouses & Query Engines with a Discoverability Score of 4/100 (Invisible).

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.