How do Redis and Memcached handle scalability?

How do Redis and Memcached handle scalability?

Both Redis and Memcached are designed to be highly scalable. Redis supports clustering, allowing data to be distributed across multiple nodes, while Memcached can also be scaled horizontally by adding more servers.

What are the main differences in their scalability features?

Redis offers built-in replication and persistence options, which can enhance scalability and data durability. Memcached, on the other hand, is simpler and focuses on speed, but lacks built-in data persistence.

Can you explain how clustering works in Redis?

In Redis, clustering allows you to partition your data across multiple nodes. Each node holds a subset of the data, and Redis automatically manages the distribution and replication of data to ensure high availability.

Is there a limit to how many nodes I can add in Redis?

While Redis can theoretically support many nodes, practical limits depend on your infrastructure and the complexity of managing a large cluster. Typically, clusters with up to 100 nodes are manageable.