Databricks Genie
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.
View in the Claude registry- Integration type
- Connector
- Verification status
Verified connector- Platform
- Claude
- Primary Subcategory
- Cloud Data Warehouses & Query Engines
- Secondary Subcategories
- Data Warehouses, BI & AnalyticsSelf-Serve BI & Conversational Analytics
- Brand
- Databricks
- Access
- Account required
- First tracked
- 2025-11-12
- Tool count
- 5
- Geography
- US
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is visible.
Claude Discoverability Score
Live · refreshed daily. Last refreshedDatabricks Genie in Cloud Data Warehouses & Query Engines
What we measure
One core score. Three important factors to discoverability.
- Sets the score
Picked
· 1.8/100 - Diagnostic
Found
· 1.3/100 - Diagnostic
Positioned
· 12.8/100
Competing in Claude Cloud Data Warehouses & Query Engines
View CategoryWhat does 2/100 mean?
2 is Databricks Genie's rounded picker appearance rate. It appeared in the connector picker, or Claude invoked it directly, in 1.8% of contested conversations. All three measures are important to discoverability: Picked determines the headline score, Found shows how often Claude found Databricks Genie in connector search, and Positioned shows where it appeared in the picker.
Databricks Genie is 8 points from Buried.
FoundDiagnostic
Whether Claude found your Connector in connector search. It must be Found before it can reach the picker, but the score counts picker appearances—not search results.
PickedMain score
How often your Connector appeared in the picker, or Claude invoked it directly, across contested conversations. This percentage is the Discoverability Score; the headline number is rounded.
PositionedDiagnostic
What position your Connector appeared in when it was shown in the picker. This shows prominence, but it does not affect the score.
5 tools agents can invoke
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 2026-08-14, Databricks Genie competes with Omni Analytics, Polar Analytics, Google Cloud BigQuery, dbt, PostHog, Supabase, DataHub, Amplitude, Snowflake, Datadog, Mixpanel, ClickHouse, MotherDuck, Adobe Customer Journey Analytics, Metabase, PlanetScale, Monte Carlo, Supermetrics Marketing Analytics, Dremio Cloud 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 2026-08-14, Databricks Genie ranks #19 of 20 in Claude Cloud Data Warehouses & Query Engines with a Discoverability Score of 2/100 (Invisible).
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.