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 Firebolt, 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 Firebolt are listed in the section below.
Firebolt is a cloud data warehouse engineered for sub-second analytics on large datasets, offering a fully managed, high-performance OLAP engine built on top of cloud object storage. It uses aggregating indexes and join indexes to dramatically accelerate repeated query patterns, making it well-suited for interactive analytics applications. Firebolt provides a familiar SQL interface and integrates with popular BI tools.
Firebolt uses HTTPS on port 443. Authentication requires a Firebolt service account client ID and client secret (or email/password for older versions). Specify the engine name as a parameter, for example: jdbc:firebolt://api.app.firebolt.io/mydb?engine=myengine.
DbSchema connects to Firebolt using the Firebolt JDBC driver, enabling visualization of cloud analytics schemas including aggregating and join indexes, and SQL query execution against Firebolt's high-performance OLAP engine.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your Firebolt 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 Firebolt 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 Firebolt 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 Firebolt 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 Firebolt 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 Firebolt 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 Firebolt 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.