Download the SnappyData 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 SnappyData.
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 SnappyData driver uses its own syntax — see the connection details below.
SnappyData (now TIBCO ComputeDB) is an in-memory data platform combining Apache Spark with a columnar store for mixed OLTP/OLAP workloads. It enables Spark SQL, streaming analytics, and ad-hoc queries on live transactional data in a single unified platform.
Download SnappyData JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager. The driver can also be found here.
DbSchema connects to SnappyData using the JDBC driver and renders column tables and row tables in the schema diagram. Use the SQL Editor to run Spark SQL queries against live in-memory data.
Connect SnappyData, build your first ER diagram in minutes. No account required.
Get the SnappyData 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 SnappyData, 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 SnappyData 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 SnappyData.
Teams working with SnappyData often use these engines too. Explore dedicated guides and JDBC setup for each.