Download the Hive JDBC driver, copy the JDBC URL into DbSchema, and start designing schemas with ER diagrams — free Community Edition.
A JDBC driver is a Java .jar library that lets applications connect to Hive.
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.
Host, port, database name, and SSL options are passed in a URL starting with jdbc:.
Each Hive driver uses its own syntax — see the connection details below.
Apache Hive is a data warehouse system built on Hadoop, enabling SQL-like queries (HiveQL) over large datasets stored in HDFS or cloud object storage. It is widely used for batch ETL processing, data lake querying, and as a metastore for Spark and Presto/Trino workloads.
We use the Hive Uber driver. The JDBC source code is located on https://github.com/timveil/hive-jdbc-uber-jarThe driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema connects to Hive via the Hive Uber JDBC driver and renders Hive tables, partitions, and views in the schema diagram. Use the SQL Editor to write HiveQL with partition filters and bucketing hints for optimal query performance.
Connect Hive, build your first ER diagram in minutes. No account required.
Get the Hive driver zip below and install DbSchema for Windows, macOS, or Linux.
In DbSchema, open Driver Manager, add the extracted JAR, and paste your JDBC URL.
Reverse engineer Hive, edit the model visually, and publish schema documentation.
After the JDBC driver connects, you get ER diagrams, SQL editor, schema sync, and HTML documentation in one desktop app. Compare DbSchema editions.
Reverse engineer Hive into an interactive diagram and edit structures visually.
Run SQL with autocomplete or compose queries without writing every join by hand.
Export HTML docs your team can browse without installing DbSchema.
Connection tips, ports, SSL, and schema design workflows on the database landing page.
Other drivers teams often configure alongside Hive.
Teams working with Hive often use these engines too. Explore dedicated guides and JDBC setup for each.