Download the ThoughtSpot 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 ThoughtSpot.
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 ThoughtSpot driver uses its own syntax — see the connection details below.
ThoughtSpot is an AI-powered analytics platform with a natural language search interface for business data. It stores data in its own columnar engine (Falcon) and connects to cloud data warehouses like Snowflake, BigQuery, and Redshift via live query mode.
Download ThoughtSpot JDBC Driver
The driver archive is a zip file. Extract it and load the .jar files using DbSchema's Driver Manager.
DbSchema connects to ThoughtSpot using the JDBC driver, allowing schema visualization and SQL query execution against ThoughtSpot's Falcon engine or connected cloud warehouse sources.
Connect ThoughtSpot, build your first ER diagram in minutes. No account required.
Get the ThoughtSpot 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 ThoughtSpot, 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 ThoughtSpot 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 ThoughtSpot.
Teams working with ThoughtSpot often use these engines too. Explore dedicated guides and JDBC setup for each.