Design and Manage Redis Databases with DbSchema

Build a clearer workflow for Redis: reverse engineer existing schemas into interactive ER diagrams, model changes visually, and generate reviewed SQL scripts before deployment.

DbSchema is built for visual modeling, schema documentation, and deployment. Keep an offline model in Git, collaborate across teams, and publish 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.

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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.

Connecting DbSchema to Redis

DbSchema connects to Redis using its own open-source JDBC driver. The default Redis port is 6379. The JDBC URL format is jdbc:redis://host:6379/0, where the trailing number is the database index (Redis supports databases 0–15 by default). For Redis Cluster, connect to any cluster node and the driver handles slot routing. For Redis deployments with authentication, append ?password=yourpassword to the URL. TLS connections use jdbc:redis+ssl://host:6380/0. Redis Sentinel and Redis Enterprise are also supported through appropriate connection configuration. The open-source Redis JDBC driver source code is available on GitHub.

Why Teams Use 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