A JDBC driver is a Java library file (.jar) that enables Java applications — including DbSchema — to communicate with a database over a standard API. The driver translates generic JDBC calls into the network protocol understood by CUBRID, so you never have to write low-level socket code. Drivers are typically distributed by the database vendor or as open-source projects.
Every JDBC driver identifies the target database through a connection URL. The URL encodes the hostname, port, database name, and any driver-specific parameters as a single string. The exact syntax varies per driver — the details for CUBRID are listed in the section below.
CUBRID is an open-source, object-relational database management system optimized for web applications. It supports advanced data types including set, multiset, and list collection types, and offers native support for horizontal scalability through its HA and sharding extensions. CUBRID is particularly popular for large-scale Korean web portals and enterprise applications.
The three colons at the end of the JDBC URL represent optional username and password fields left empty for default authentication. To supply credentials explicitly, use the format jdbc:cubrid:host:33000:dbname:user:password:. Port 33000 is the default broker port used by CUBRID's connection broker.
DbSchema connects to CUBRID using the official CUBRID JDBC driver, supporting schema visualization for CUBRID's object-relational tables including collection types, and SQL execution through the integrated editor for CUBRID applications.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your CUBRID 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.
Reverse-engineer your CUBRID 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.
Compose CUBRID 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.
Browse CUBRID 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.
Compare your CUBRID 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.
Write and execute CUBRID 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.
Generate a static HTML site documenting every table, column, type, index, and relationship in your CUBRID schema. Share it with your team or embed it in your project wiki — no extra tooling required.
For the full feature list and edition comparison, visit the DbSchema PRO Edition page.