Download the JDataStore 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 JDataStore.
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 JDataStore driver uses its own syntax — see the connection details below.
JDataStore is an embedded Java database from Embarcadero Technologies (formerly Borland), designed for Delphi and Java desktop applications. It provides a file-based relational store with JDBC connectivity, suitable for standalone application data storage.
Download JDataStore JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema connects to JDataStore using the JDBC driver and renders the embedded schema structure in the visual diagram. Use DbSchema to inspect and migrate JDataStore schemas to modern relational databases.
Connect JDataStore, build your first ER diagram in minutes. No account required.
Get the JDataStore 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 JDataStore, 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 JDataStore 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 JDataStore.
Teams working with JDataStore often use these engines too. Explore dedicated guides and JDBC setup for each.