Memcached vs Hazelcast

Developers should use Memcached when building high-traffic web applications that require fast data access, such as e-commerce sites, social networks, or real-time analytics platforms meets developers should learn and use hazelcast when building applications that require fast data access, such as real-time analytics, high-frequency trading, or gaming platforms, where low latency is critical. Here's our take.

Memcached

Nice Pick

Developers should use Memcached when building high-traffic web applications that require fast data access, such as e-commerce sites, social networks, or real-time analytics platforms

Pros

• It is particularly useful for caching frequently accessed data like session information, API responses, or database query results to reduce latency and improve scalability
• Related to: redis, distributed-caching

Cons

• Specific tradeoffs depend on your use case

Hazelcast

Developers should learn and use Hazelcast when building applications that require fast data access, such as real-time analytics, high-frequency trading, or gaming platforms, where low latency is critical

Pros

• It is also valuable for caching frequently accessed data to reduce database load, enabling horizontal scaling in microservices architectures, and implementing distributed computing tasks like map-reduce operations
• Related to: in-memory-computing, distributed-caching

Cons

• Specific tradeoffs depend on your use case

The Verdict

These tools serve different purposes. Memcached is a database while Hazelcast is a platform. We picked Memcached based on overall popularity, but your choice depends on what you're building.

The Bottom Line

Memcached wins

Based on overall popularity. Memcached is more widely used, but Hazelcast excels in its own space.