Download the Vertica 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 Vertica.
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 Vertica driver uses its own syntax — see the connection details below.
Vertica is a columnar analytical database optimized for high-speed queries over very large datasets, widely used by enterprises for business intelligence, fraud detection, and machine learning feature stores. It supports ANSI SQL, in-database ML with Vertica ML Functions, and integration with Hadoop/S3.
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema connects to Vertica using the Vertica JDBC driver and renders projection definitions, super projections, and buddy projections in the schema diagram. Use the SQL Editor to write Vertica-specific SQL including PARTITION BY, ENCODE BY, and SEGMENTED BY expressions.
Connect Vertica, build your first ER diagram in minutes. No account required.
Get the Vertica 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 Vertica, 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 Vertica 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 Vertica.
Teams working with Vertica often use these engines too. Explore dedicated guides and JDBC setup for each.