Download the GoogleBigQuery 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 GoogleBigQuery.
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 GoogleBigQuery driver uses its own syntax — see the connection details below.
Google BigQuery is a fully managed, serverless data warehouse that enables super-fast SQL queries against multi-petabyte datasets. It uses a columnar storage format (Capacitor) and a massively parallel query engine, making it ideal for BI, ML feature engineering, and large-scale reporting.
Download Google BigQuery JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema maps BigQuery datasets and tables into visual ER diagrams, helping analysts understand the relationships between fact and dimension tables in a data warehouse schema. Use the SQL Editor to write BigQuery Standard SQL with partitioning filters, nested STRUCT queries, and ARRAY aggregations.
Connect GoogleBigQuery, build your first ER diagram in minutes. No account required.
Get the GoogleBigQuery 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 GoogleBigQuery, 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 GoogleBigQuery 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 GoogleBigQuery.
Teams working with GoogleBigQuery often use these engines too. Explore dedicated guides and JDBC setup for each.