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Hazelcast Vs Redis
Setup:
Hazelcast has the ability to work in embedded mode in a very simple manner. The developer
can configure Hazelcast to run within the application’s context so it saves the need to install
a Hazelcast cluster that the application will connect to.

 

Redis does not have this capability, thus, you must connect to a Redis server (remote or local),
so sometimes it’s annoying during the development process and requires an installation of
a Redis server on developer’s machine.

Trending/Support:
Redis has been an industry standard for several years, proving superiority over existing
distributed data store solutions. A simple lookup in Google trends visualizes the competition
over time.

Comparison between Github search results for “Redis” vs “Hazelcast” reinforces Redis’
popularity.
near-cache capabilities:
Hazelcast has a useful feature called near-cache. Basically, it allows each application node to
hold a local copy of the remote cached object (e.g. Map) without the pain of managing the
relationship between the local object and the remote one.

It saves the network latency and the serialization/deserialization processing in read operations. 

Although Redis is considered a very efficient technology it does not offer this kind of a feature.

So this feature makes hazelcast faster as compared to Redis.

Reference:

https://engineering.datorama.com/moving-from-hazelcast-to-redis-b90a0769d1cb
https://trends.google.com/trends/explore?geo=US&q=hazelcast,redis

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Hazelcast vs redis report

  • 1. Hazelcast Vs Redis Setup: Hazelcast has the ability to work in embedded mode in a very simple manner. The developer can configure Hazelcast to run within the application’s context so it saves the need to install a Hazelcast cluster that the application will connect to.   Redis does not have this capability, thus, you must connect to a Redis server (remote or local), so sometimes it’s annoying during the development process and requires an installation of a Redis server on developer’s machine. Trending/Support: Redis has been an industry standard for several years, proving superiority over existing distributed data store solutions. A simple lookup in Google trends visualizes the competition over time. Comparison between Github search results for “Redis” vs “Hazelcast” reinforces Redis’ popularity.
  • 2. near-cache capabilities: Hazelcast has a useful feature called near-cache. Basically, it allows each application node to hold a local copy of the remote cached object (e.g. Map) without the pain of managing the relationship between the local object and the remote one. It saves the network latency and the serialization/deserialization processing in read operations. Although Redis is considered a very efficient technology it does not offer this kind of a feature. So this feature makes hazelcast faster as compared to Redis. Reference: https://engineering.datorama.com/moving-from-hazelcast-to-redis-b90a0769d1cb https://trends.google.com/trends/explore?geo=US&q=hazelcast,redis