How do Redis and Kafka handle scalability?
Redis and Kafka both offer unique scalability features. Redis scales vertically by adding more resources to a single instance, while Kafka scales horizontally by adding more brokers to a cluster.
What are the advantages of using Redis for caching?
Redis is extremely fast, supports various data structures, and provides persistence options, making it ideal for caching.
Can Kafka be used for real-time data processing?
Yes, Kafka is designed for real-time data streaming and processing, allowing you to handle large volumes of data efficiently.
How do I choose between Redis and Kafka for my application?
It depends on your use case. Use Redis for caching and fast data retrieval, and Kafka for event streaming and message brokering.
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