Databricks is a data analytics platform that provides data lakehouse solutions for businesses, combining data warehouses and data lakes to offer unified analytics for data engineering, machine learning, and business intelligence.
Why this server?
Enables access to Databricks analytics platform data through SQL-like queries for data processing and analytics workloads
Why this server?
Provides access to Databricks functionality through tools that allow interacting with clusters (listing, creating, terminating, starting), jobs (listing, running), notebooks (listing, exporting), files (browsing DBFS paths), and executing SQL queries on a Databricks instance.
Why this server?
Listed as a supported data source for integration through the CData JDBC driver.
Why this server?
Allows querying Databricks data through SQL interfaces, making data lakehouse information accessible via natural language.
Why this server?
Provides access to Databricks analytics platform data through SQL queries.
Why this server?
Provides SQL access to Databricks tables and data sources.
Why this server?
Provides SQL interface for Databricks data warehousing and analytics platform.
Why this server?
Provides read-only access to data stored in Databricks, allowing queries against live Databricks data using natural language instead of SQL. The MCP server exposes Databricks data as relational SQL models for retrieval.
Why this server?
Enables SQL-based querying of Databricks data and analytics.