Kafka vs Redis: What are the differences?
Kafka: Distributed, fault tolerant, high throughput pub-sub messaging system. Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design; Redis: An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
Kafka can be classified as a tool in the "Message Queue" category, while Redis is grouped under "In-Memory Databases".
"High-throughput", "Distributed" and "Scalable" are the key factors why developers consider Kafka; whereas "Performance", "Super fast" and "Ease of use " are the primary reasons why Redis is favored.
Kafka and Redis are both open source tools. Redis with 37.4K GitHub stars and 14.4K forks on GitHub appears to be more popular than Kafka with 12.7K GitHub stars and 6.81K GitHub forks.
Airbnb, Uber Technologies, and Instagram are some of the popular companies that use Redis, whereas Kafka is used by Uber Technologies, Spotify, and Slack. Redis has a broader approval, being mentioned in 3261 company stacks & 1781 developers stacks; compared to Kafka, which is listed in 509 company stacks and 470 developer stacks.