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 Dremio, 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 Dremio are listed in the section below.
Dremio is a lakehouse platform that provides high-speed SQL query execution directly on cloud object storage such as S3, ADLS, and GCS without data movement. It acts as a semantic layer over heterogeneous data sources, enabling self-service analytics with fast reflections and data virtualization. Dremio supports Apache Arrow Flight SQL for high-throughput data transfer.
Connect to the Dremio coordinator on port 31010 (Arrow Flight SQL port). Authentication uses Dremio username and password. For ZooKeeper-based discovery in distributed mode, use jdbc:dremio:zk=zkhost/dremio as the connection URL instead.
DbSchema connects to Dremio using the Dremio JDBC driver, enabling visualization of virtual dataset schemas from S3, ADLS, and other data sources, and SQL query execution against Dremio's lakehouse engine through the built-in SQL editor.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your Dremio 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 Dremio 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 Dremio 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 Dremio 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 Dremio 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 Dremio 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 Dremio 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.