What are the key differences between Redis and Kafka architectures?

What are the key differences between Redis and Kafka architectures?

Redis is an in-memory data structure store, while Kafka is a distributed event streaming platform. Redis is optimized for low-latency data access, whereas Kafka is designed for high-throughput data streaming.

Can you explain how data persistence works in both systems?

In Redis, data persistence can be achieved through RDB snapshots or AOF (Append Only File). Kafka, on the other hand, stores data in a distributed log, allowing for durable message storage and replayability.

Which one is better for real-time analytics?

Kafka is generally better for real-time analytics due to its ability to handle large volumes of data streams and its integration with stream processing frameworks.

Are there any use cases where Redis is preferred over Kafka?

Yes, Redis is preferred for use cases requiring fast data retrieval, such as caching, session management, or real-time leaderboard applications.