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 Redis, 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 Redis are listed in the section below.
Redis is an open-source, in-memory data structure store widely used as a cache, message broker, and real-time database. It supports strings, hashes, lists, sets, sorted sets, streams, and more, making it a versatile building block for high-performance applications.
DbSchema provides an open-source JDBC driver for Redis that translates SQL queries into native Redis commands, enabling standard JDBC tooling to connect to Redis.
The default Redis port is 6379 and the default database index is 0.
For TLS connections use jdbc:redis+ssl://host:6380/0.
To authenticate, append ?password=yourpassword to the URL.
For Redis Cluster, connect to any cluster node — the driver handles key slot routing transparently.
The driver archive is a zip file. Unzip it to obtain the driver jar. The source code is available on GitHub.
DbSchema detects Redis key namespaces and renders them as a visual schema diagram. Use the data explorer to browse hash fields, list elements, and set members, and the SQL editor to query Redis data through the JDBC translation layer.
Have connection issues? Contact the DbSchema team for help.
Once the JDBC driver is configured, DbSchema connects to your Redis 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 Redis 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 Redis 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 Redis 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 Redis 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 Redis 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 Redis 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.