Blog ›Hazelcast 3.3 Tops Charts in In-Memory Data Grid, Moves Into NoSQL
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Sep 9, 2014

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Hazelcast 3.3 Tops Charts in In-Memory Data Grid, Moves Into NoSQL

Hazelcast Dev Team Photo Number 1 In-Memory Data Grid – As adoption of Hazelcast version 3.3 increases, Hazelcast by all measures has secured the #1 spot for Open Source In-Memory Data Grids (IMDG). In fact, according to the DB Engines Ranking, Hazelcast is the #1 In-Memory Data Grid of any kind, open source or commercial.

Hazelcast now has the highest rank on the DB Engines Ranking among all IMDG players including both proprietary and open source solutions.

DB-Engines Rankings shown below:

  • #44 Hazelcast
  • #57 Oracle Coherence
  • #64 Pivotal Gemfire
  • #78 Infinispan
  • #109 GridGain

A similar search on Google Trends shows Hazelcast rising above all of the above competitors in the space in terms of Google Search frequency.

Most Vibrant Open Source Community
Comparing against other open source IMDG projects turns up the following results

Hazelcast is the most active open source IMDG project on openhub including the following statistics from OpenHub

Most all-time contributors at 107
Most all time commits at 10,665
Most contributors in past 12 months at 73
Most commits in past 12 months at 5814

Hazelcast prides itself on being compact and modern, so having a larger and older code base is not seen as an advantage at Hazelcast.

Dominating IMDG, beginning to rank in NoSQL
Interestingly, Hazelcast has begun attaining serious ranking among NoSQL key value stores including achieving a #4 position in the InfoQ research on NoSQL database adoption alongside Redis, Cassandra and MongoDB.

Reinforcing this ranking, another study, the JRebel Labs Java Tools and Technologies Landscape for 2014 shows the exact same ranking with Hazelcast again at #4 among “Primary NoSQL Technology” behind the same three technologies, MongoDB, Cassandra and Redis.

“Hazelcast is both the leading open source IMDG and the up-and-coming NoSQL key value store.” said Talip Ozturk, founder and CTO of Hazelcast “This is because developers love to get instant cloud-scale elastic in-memory computing through a small, open source, easy to use, pluggable library.”

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