KeyDB vs Apache Cassandra

Struggling to choose between KeyDB and Apache Cassandra? 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, Apache Cassandra is a Databases product tagged with distributed, scalable, high-availability, fault-tolerant, wide-column-store.

Its standout features include Distributed database system, Linear scalability, Fault tolerance, Tunable consistency, Column-oriented database, Multi-datacenter replication, and it shines with pros like High availability, Fast writes, Tunable consistency, Flexible schema design, Linear scalability.

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

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.

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.

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

Apache Cassandra Features

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

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

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

Pricing Comparison

KeyDB

• Open Source

Apache Cassandra

• Open Source