Apache Cassandra vs Redis : Which is Better?

Apache Cassandra icon

Apache Cassandra

Apache Cassandra is a free and open-source distributed NoSQL database management system.

License: Open Source

Categories: Development

Apps available for Mac OS X Windows Linux BSD

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Redis icon

Redis

Redis is an in-memory database open-source software. Developed by Salvatore Sanfilippo

License: Open Source

Categories: Development

Apps available for Mac OS X Windows Linux BSD Self-Hosted

Apache Cassandra VS Redis

Apache Cassandra is a distributed NoSQL database designed for handling large volumes of data across many commodity servers, providing high availability with no single point of failure. Redis, on the other hand, is an in-memory data structure store known for its speed and simplicity, making it ideal for caching and real-time analytics. While Cassandra excels in scalability and durability for large datasets, Redis offers superior performance for key-value data operations.

Apache Cassandra

Pros:

  • Highly scalable and distributed architecture
  • Strong consistency and availability with tunable consistency levels
  • Wide column store allows for complex data models
  • Robust support for multi-data center replication
  • High write throughput suitable for large data ingestion

Cons:

  • Complex setup and configuration
  • Higher latency compared to in-memory databases
  • Not ideal for real-time data processing
  • Limited support for transactions and joins
  • Steeper learning curve for query language

Redis

Pros:

  • Extremely fast for read and write operations
  • Simple key-value data structure makes it easy to use
  • Supports various data structures like strings, hashes, lists, sets
  • Built-in data persistence options
  • Excellent community support and documentation

Cons:

  • Limited data persistence options compared to Cassandra
  • Not suitable for complex queries or large datasets
  • Single-threaded architecture may limit performance under heavy load
  • Data expiration policies can lead to data loss
  • Less focus on durability compared to traditional databases

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