Turn Redis Key Namespaces Into a Visual Schema

DbSchema gives Redis teams a design-first workflow: import the existing schema as an interactive ER diagram, refine it visually, and ship every change as a reviewed SQL script.

Built for visual modeling, schema documentation, and deployment, with an offline model you can keep in Git, team collaboration, and documentation that developers, analysts, and stakeholders can navigate in minutes.

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Exploring Redis Key Namespaces as a Visual Schema

Redis is an in-memory data structure store that organizes data as keys with typed values — strings, hashes, lists, sets, sorted sets, streams, and more. Unlike relational databases, Redis has no enforced schema, but production deployments develop implicit naming conventions and key patterns that represent a de-facto data model. DbSchema connects to Redis via its custom open-source JDBC driver and renders the detected key namespaces as a visual diagram, helping teams document and communicate the Redis data architecture in a structured way.

Download DbSchema Free See Redis Features

Browse Redis Data Structures Interactively

DbSchema's data explorer connects to Redis and lets you browse hash fields, list contents, set members, and sorted set scores without writing raw Redis commands. This is practical for developers inspecting session data, cache contents, or message queue state during debugging, without needing a dedicated Redis GUI tool or redis-cli access.

Run SQL Queries Against Redis Keys

DbSchema's SQL editor connects to Redis through the JDBC layer, which translates SQL-style SELECT queries into Redis commands. This allows developers familiar with SQL to query Redis key patterns, filter hash fields, and retrieve structured data without learning the full Redis command set — useful when Redis stores structured application data like user profiles or product catalogs.

Document Redis Key Patterns and Data Models

DbSchema generates schema documentation from the detected Redis key patterns, capturing the naming conventions, data types, and field structures that form the implicit Redis schema. For teams maintaining large Redis deployments, this documentation provides a reference for understanding cache structure, session layout, and real-time data organization without relying on tribal knowledge or hand-written notes.

Set Up the Redis Connection in DbSchema

Getting from a running Redis instance to a browsable diagram takes just a few steps:

1. Install DbSchema — the download requires no account or credit card.
2. Start a new connection and pick Redis; DbSchema uses its own open-source JDBC driver to talk to the server.
3. Enter the host and port — 6379 by default — plus the database index (0–15) that becomes the trailing number in jdbc:redis://host:6379/0.
4. If the deployment requires a password, append ?password=yourpassword to the URL before connecting.
5. Connect, and DbSchema builds the key-namespace diagram from what it finds on the server.

For Redis Cluster, point the connection at any cluster node — the driver takes care of slot routing. TLS-secured servers use jdbc:redis+ssl://host:6380/0 instead of the plain URL. Redis Sentinel and Redis Enterprise setups are reached through the matching connection configuration in the same dialog. The open-source Redis JDBC driver source code is available on GitHub.

Reasons to Pair DbSchema with Redis

• Visualize implicit Redis key namespaces and data structures as a documented schema
• Browse hash fields, list contents, and set members without redis-cli or a separate GUI
• Query Redis data with familiar SQL syntax through the JDBC translation layer
• Document the Redis data model for team onboarding and architecture reviews
• Inspect cache contents, session data, and queue state interactively during development

Turn your Redis key namespaces into a diagram you can hand to the rest of the team — download DbSchema for free, point it at your Redis instance, and see the structure in minutes.