Hazelcast vs Memcached: What are the differences?
Hazelcast: Clustering and highly scalable data distribution platform for Java. With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution; Memcached: High-performance, distributed memory object caching system. Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.
Hazelcast and Memcached are primarily classified as "In-Memory Databases" and "Databases" tools respectively.
"High Availibility" is the top reason why over 4 developers like Hazelcast, while over 133 developers mention "Fast object cache" as the leading cause for choosing Memcached.
Hazelcast and Memcached are both open source tools. Memcached with 9K GitHub stars and 2.6K forks on GitHub appears to be more popular than Hazelcast with 3.18K GitHub stars and 1.16K GitHub forks.
According to the StackShare community, Memcached has a broader approval, being mentioned in 756 company stacks & 267 developers stacks; compared to Hazelcast, which is listed in 26 company stacks and 16 developer stacks.
What is Hazelcast?
What is Memcached?
Want advice about which of these to choose?Ask the StackShare community!
What are the cons of using Hazelcast?
What are the cons of using Memcached?
What tools integrate with Memcached?
HazelCast is the foundation for the distributed system that hosts our APIs and intelligent workflows. We wrap the core HazelCast functions in Clojure protocols to implement micro-services on top of a coherent, single-process instance per virtual node.
As part of the cacheing system within Drupal.
Memcached mainly took care of creating and rebuilding the REST API cache once changes had been made within Drupal.
Distributed cache exposed through Google App Engine APIs; use to stage fresh data (incoming and recently processed) for faster access in data processing pipeline.
Memcache caches database results and articles, reducing overall DB load and allowing seamless DB maintenance during quiet periods.
Used to cache most used files for our clients. Connected with CloudFlare Railgun Optimizer.