Download CacheDb JDBC JDBC Driver

What Is a JDBC Driver?

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 CacheDb JDBC, so you never have to write low-level socket code. Drivers are typically distributed by the database vendor or as open-source projects.

Understanding the JDBC URL

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 CacheDb JDBC are listed in the section below.

Download the CacheDb JDBC JDBC Driver

InterSystems Caché is a high-performance object and relational database used in clinical healthcare systems (Epic, MEDITECH), financial applications, and government databases. It stores data as multi-dimensional objects while exposing a SQL interface through its %SQL engine.

InterSystems Caché JDBC Driver Details

  • Required File(s): CacheDB.jar
  • Java Driver Class: com.intersys.jdbc.CacheDriver
  • JDBC URL: jdbc:Cache://HOST:PORT/DB
  • Website: InterSystems Caché

Download Caché JDBC Driver

The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.

DbSchema and InterSystems Caché

DbSchema connects to InterSystems Caché using the JDBC driver and renders Caché persistent classes as SQL tables in the schema diagram. Use the ER diagram to document complex healthcare data models built on Caché.

Have connection issues? Contact the DbSchema team for help.

DbSchema Database Designer

Explore CacheDb JDBC Visually with DbSchema

Once the JDBC driver is configured, DbSchema connects to your CacheDb JDBC 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 CacheDb JDBC 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 CacheDb JDBC in DbSchema

Visual Query Builder

Compose CacheDb JDBC 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 CacheDb JDBC in DbSchema

Relational Data Explorer

Browse CacheDb JDBC 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 CacheDb JDBC in DbSchema

Schema Synchronization

Compare your CacheDb JDBC 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 CacheDb JDBC in DbSchema

SQL Editor

Write and execute CacheDb JDBC 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 CacheDb JDBC in DbSchema

HTML Schema Documentation

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

Schema documentation generator for CacheDb JDBC in DbSchema

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

Go deeper with CacheDb JDBC in DbSchema — ER diagrams, Git-based versioning, random data generator, and HTML schema docs. See the full CacheDb JDBC guide →