Databricks JDBC Driver Download

Download the Databricks JDBC driver, copy the JDBC URL into DbSchema, and start designing schemas with ER diagrams — free Community Edition.

About the Databricks JDBC driver

A JDBC driver is a Java .jar library that lets applications connect to Databricks. DbSchema uses JDBC to reverse engineer schemas, run SQL, and generate documentation. Driver files are usually published by the database vendor or an open-source project.

JDBC URL format

Host, port, database name, and SSL options are passed in a URL starting with jdbc:. Each Databricks driver uses its own syntax — see the connection details below.

The Databricks JDBC driver

Databricks is a unified data analytics platform built on Apache Spark, providing a lakehouse architecture that combines the flexibility of data lakes with the reliability of data warehouses. It supports Delta Lake, MLflow, and collaborative notebooks for data engineering and ML workflows.

The Databricks JDBC URL

We use the Spark JDBC driver to connect to Databricks SQL warehouses.

• Required File(s): SparkJDBC42.jar
• Java Driver Class: com.simba.spark.jdbc.Driver
• JDBC URL: jdbc:spark://HOST:PORT/default;transportMode=http;ssl=1;httpPath=...
• Website: Databricks

Download Databricks JDBC Driver

The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.

DbSchema and Databricks

DbSchema connects to Databricks SQL warehouses via the Spark JDBC driver and renders Delta Lake table schemas as interactive diagrams. Use the Schema Synchronization feature to compare table definitions across Databricks environments and generate the DDL diff.