Download Yellowbrick JDBC Driver

What Is a JDBC Driver?

A JDBC driver is a Java library file (.jar) that enables Java applications to communicate with a database. The JDBC is a standard interface implemented by each database with a specific driver. Drivers are typically distributed by the database vendor or as open-source projects.

Understanding the JDBC URL

The connection parameters including the database location, database name and connection method are passed to the driver using the JDBC URL. The JDBC URL is a text starting with 'jdbc:...' which combines the hostname, port, database name, and any driver-specific parameters. The exact syntax can be different for each JDBC driver.

The Yellowbrick JDBC Driver

Yellowbrick is a hybrid cloud data warehouse built for demanding analytical workloads, combining an in-memory columnar engine with NVMe flash storage for extreme query performance. It uses a massively parallel processing (MPP) architecture and is compatible with PostgreSQL tooling, making migrations straightforward. Yellowbrick is optimized for large-scale analytics across on-premises and cloud deployments.

The Yellowbrick JDBC URL

  • Required File(s): yellowbrick-jdbc-xxx.jar
  • Java Driver Class: com.yellowbrick.jdbc.Driver
  • JDBC URL: jdbc:yellowbrick://{HOST}:{PORT}/{DB}
  • Website: Yellowbrick

Yellowbrick uses a PostgreSQL-compatible wire protocol on port 5432. The Yellowbrick JDBC driver provides optimized connectivity for the Yellowbrick MPP engine. SSL can be enabled via connection properties.

DbSchema and Yellowbrick

DbSchema connects to Yellowbrick using the Yellowbrick JDBC driver, visualizing MPP analytical schemas including distribution keys and columnar storage configurations, and enabling complex analytical SQL authoring for large-scale data warehousing workloads.

DbSchema Database Designer

Test the JDBC Driver using DbSchema

Get to your first ER diagram in minutes. No account, no credit card.

1
Install DbSchema in minutes

DbSchema is free. Download the installer for Windows, macOS, or Linux and start DbSchema. No signup required.

2
Connect or open a sample

Reverse engineer an existing database or open a sample model to explore tables, relations, and indexes visually.

3
Design, document, deploy

Edit your schema, generate interactive documentation, and roll out reviewed changes across environments.

Explore Yellowbrick Visually with DbSchema

Once the JDBC driver is configured, DbSchema connects to your Yellowbrick database and gives you a full graphical workbench — no command-line required. Available as a free Community Edition and a full-featured PRO Edition. No registration needed to get started.

Interactive ER Diagrams

Reverse-engineer your Yellowbrick schema into a drag-and-drop ER diagram. Arrange tables visually, add new columns, define foreign keys, and let DbSchema generate the DDL — all without writing SQL by hand.

Interactive ER diagram for Yellowbrick in DbSchema

Visual Query Builder

Compose Yellowbrick queries by clicking on tables and columns — no SQL knowledge required. Add joins, filters, groupings, and aggregations through a point-and-click interface, then copy the generated SQL or run it directly against the live database.

Visual query builder for Yellowbrick in DbSchema

Relational Data Explorer

Browse Yellowbrick table data and follow foreign key relationships across tables in a single view. Edit cells inline, filter rows, and paginate through large datasets — all without leaving the explorer.

Relational data explorer for Yellowbrick in DbSchema

Schema Synchronization

Compare your Yellowbrick schema across development, staging, and production environments. DbSchema generates the exact ALTER statements needed to close the gap and lets you review every change before executing — reducing the risk of unintended schema drift.

Schema synchronization for Yellowbrick in DbSchema

SQL Editor

Write and execute Yellowbrick queries in the integrated SQL editor with schema-aware autocomplete, syntax highlighting, and instant result display. Run scripts, inspect execution plans, and export results to CSV or JSON from a single interface.

SQL editor for Yellowbrick in DbSchema

HTML Schema Documentation

Generate a static HTML site documenting every table, column, type, index, and relationship in your Yellowbrick schema. Share it with your team or embed it in your project wiki — no extra tooling required.

Schema documentation generator for Yellowbrick in DbSchema

For the full feature list and edition comparison, visit the DbSchema PRO Edition page.

Go deeper with Yellowbrick in DbSchema

ER diagrams, Git-based versioning, random data generator, and HTML schema docs.