Download the Redshift 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 Redshift.
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 Redshift driver uses its own syntax — see the connection details below.
Amazon Redshift is AWS's cloud data warehouse, built on a modified PostgreSQL core optimized for columnar storage and massively parallel processing (MPP). It integrates natively with S3, Glue, and Spectrum for petabyte-scale analytics.
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema connects to Redshift clusters using the Amazon Redshift JDBC driver and renders distribution keys, sort keys, and interleaved sort orders in the schema diagram. Use the SQL Editor to run distribution-aware queries and inspect query execution plans.
Connect Redshift, build your first ER diagram in minutes. No account required.
Get the Redshift 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 Redshift, 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 Redshift 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 Redshift.
Teams working with Redshift often use these engines too. Explore dedicated guides and JDBC setup for each.