Download the Starburst 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 Starburst.
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 Starburst driver uses its own syntax — see the connection details below.
Starburst is an enterprise distribution of Trino (formerly PrestoSQL), a distributed SQL query engine that federates queries across dozens of data sources — S3, Hive, MySQL, PostgreSQL, Kafka, and more — without moving data. It is used for data lakehouse analytics and cross-platform data federation.
Download Starburst JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema connects to Starburst/Trino using the JDBC driver and renders federated catalog schemas as visual diagrams. Use the SQL Editor to write cross-source JOIN queries that Starburst routes to the underlying data sources.
Connect Starburst, build your first ER diagram in minutes. No account required.
Get the Starburst 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 Starburst, 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 Starburst 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 Starburst.
Teams working with Starburst often use these engines too. Explore dedicated guides and JDBC setup for each.