KeyDB vs Redis

Struggling to choose between KeyDB and Redis? Both products offer unique advantages, making it a tough decision.

KeyDB is a Development solution with tags like opensource, redis, keyvalue, performance.

It boasts features such as In-memory key-value store, Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams, Built-in replication and clustering, Supports Lua scripting, Persistence - RDB and AOF, Transactions and pros including Faster performance than Redis, Additional data structures like Sorted Sets and Streams, Modular architecture, Compatible with Redis clients and ecosystem, Active development.

On the other hand, Redis is a Development product tagged with caching, inmemory, keyvalue-store.

Its standout features include In-memory data structure store, Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams), Used as a database, cache, and message broker, Provides high performance and low latency, Supports replication, clustering, and high availability, Supports a wide range of programming languages, Provides a rich set of commands and APIs, Supports data persistence (RDB and AOF), and it shines with pros like High performance and low latency, Flexible and versatile data structures, Supports a wide range of use cases, Easy to set up and configure, Scalable and highly available, Open-source and free to use.

Feature	KeyDB	Redis
Overall Score	N/A	1
Primary Category	Development	Development

Product Overview

KeyDB

Description: KeyDB is an open source, high performance fork of Redis that supports additional data structures like Sorted Sets and Streams. It aims to be a faster, more modular alternative to Redis while maintaining compatibility.

Redis

Description: Redis is an open-source, in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes and streams.

Key Features Comparison

KeyDB Features

• In-memory key-value store
• Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams
• Built-in replication and clustering
• Supports Lua scripting
• Persistence - RDB and AOF
• Transactions

Redis Features

• In-memory data structure store
• Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams)
• Used as a database, cache, and message broker
• Provides high performance and low latency
• Supports replication, clustering, and high availability
• Supports a wide range of programming languages
• Provides a rich set of commands and APIs
• Supports data persistence (RDB and AOF)

Pros & Cons Analysis

KeyDB

Pros

• Faster performance than Redis
• Additional data structures like Sorted Sets and Streams
• Modular architecture
• Compatible with Redis clients and ecosystem
• Active development

Cons

• Less adoption than Redis
• Smaller community than Redis
• Not as battle-tested as Redis yet

Redis

Pros

• High performance and low latency
• Flexible and versatile data structures
• Supports a wide range of use cases
• Easy to set up and configure
• Scalable and highly available
• Open-source and free to use

Cons

• In-memory nature can lead to data loss in case of system failures
• Complexity in setting up and maintaining a highly available Redis cluster
• Limited support for transactions and complex queries compared to traditional databases
• Potential for high memory usage, especially for large datasets

Pricing Comparison

KeyDB

• Open Source

Redis

• Open Source