Apache Cassandra vs KeyDB

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

Apache Cassandra is a Databases solution with tags like distributed, scalable, high-availability, fault-tolerant, wide-column-store.

It boasts features such as Distributed database system, Linear scalability, Fault tolerance, Tunable consistency, Column-oriented database, Multi-datacenter replication and pros including High availability, Fast writes, Tunable consistency, Flexible schema design, Linear scalability.

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.

Apache Cassandra

Apache Cassandra

Apache Cassandra is a free, open-source, distributed NoSQL database management system designed to handle large amounts of data across many commodity servers, providing high availability with no single point of failure.

Categories:
Databases Nosql
distributed scalable high-availability fault-tolerant wide-column-store

Apache Cassandra Features

  1. Distributed database system
  2. Linear scalability
  3. Fault tolerance
  4. Tunable consistency
  5. Column-oriented database
  6. Multi-datacenter replication

Pricing

  • Open Source

Pros

High availability

Fast writes

Tunable consistency

Flexible schema design

Linear scalability

Cons

Eventual consistency only

Complex data modeling

No joins or transactions

Limited query capabilities

Steep learning curve

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