memcached vs KeyDB

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

memcached is a Network & Admin solution with tags like caching, memory, performance.

It boasts features such as In-memory key-value store, Distributed architecture, Simple protocol, Horizontal scalability and pros including Very fast data lookup, Reduces database load, Improves overall application performance.

On the other hand, KeyDB is a Development product tagged with opensource, redis, keyvalue, performance.

Its standout features include 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 it shines with pros like Faster performance than Redis, Additional data structures like Sorted Sets and Streams, Modular architecture, Compatible with Redis clients and ecosystem, Active development.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

memcached

memcached

Memcached is an open source, high-performance distributed memory object caching system. It is used to speed up dynamic web applications by alleviating database load for reading/writing frequently accessed data.

Categories:
Network & Admin Caching
caching memory performance

Memcached Features

  1. In-memory key-value store
  2. Distributed architecture
  3. Simple protocol
  4. Horizontal scalability

Pricing

  • Open Source

Pros

Very fast data lookup

Reduces database load

Improves overall application performance

Cons

Data loss on server restart

Additional system complexity

Requires application code changes

KeyDB

KeyDB

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.

Categories:
Development Databases
opensource redis keyvalue performance

KeyDB Features

  1. In-memory key-value store
  2. Supports data structures like Strings, Hashes, Lists, Sets, Sorted Sets and Streams
  3. Built-in replication and clustering
  4. Supports Lua scripting
  5. Persistence - RDB and AOF
  6. Transactions

Pricing

  • Open Source

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