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.

Feature	Apache Cassandra	KeyDB
Overall Score	1	N/A
Primary Category	Databases	Development

Product Overview

Apache Cassandra

Description: 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.

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.

Key Features Comparison

Apache Cassandra Features

• Distributed database system
• Linear scalability
• Fault tolerance
• Tunable consistency
• Column-oriented database
• Multi-datacenter replication

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

Pros & Cons Analysis

Apache Cassandra

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

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

Pricing Comparison

Apache Cassandra

• Open Source

KeyDB

• Open Source