What is Racompass?
It is a modern high performance GUI for Redis. It is a faster and robust Redis management tool. For developers that need to manage data with confidence. It supports Redis 6.
Racompass is a tool in the Database Tools category of a tech stack.
Who uses Racompass?
Developers
Racompass Integrations
Racompass's Features
- Multiple instance connections
- Sentinel / cluster management
- Keys CRUD
- Binary data for string
- Geo for sorted set
- Redis stream
- Embed terminal for Redis commands
- Lua scripts
- Pub/Sub
- Configs management
- Swap db
- Redis slowlog
- Analytics
- Pattern search keys
- Search query histories
- Redis monitor
- Stream groups + consumers
- Inline edit
- Human-readable datetime for ttl
- Export key/value
- Dump binary key/value
- Duplicate key
- Debug/operation tools
- Bulk operation
- Redis commands query
- Keyboard shortcuts
Racompass Alternatives & Comparisons
What are some alternatives to Racompass?
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
DataGrip
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
DBeaver
It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.
Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
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