Hazelcast

184
241
+ 1
48
Redis

27.5K
19.1K
+ 1
3.8K
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Hazelcast vs Redis: 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; Redis: An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.

Hazelcast and Redis belong to "In-Memory Databases" category of the tech stack.

"High Availibility" is the primary reason why developers consider Hazelcast over the competitors, whereas "Performance" was stated as the key factor in picking Redis.

Hazelcast and Redis are both open source tools. Redis with 37.1K GitHub stars and 14.3K forks on GitHub appears to be more popular than Hazelcast with 3.15K GitHub stars and 1.15K GitHub forks.

reddit, Instacart, and Slack are some of the popular companies that use Redis, whereas Hazelcast is used by Yammer, Seat Pagine Gialle, and Stormpath. Redis has a broader approval, being mentioned in 3239 company stacks & 1732 developers stacks; compared to Hazelcast, which is listed in 25 company stacks and 15 developer stacks.

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Cons of Hazelcast
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What is Hazelcast?

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.

What is Redis?

Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
What companies use Hazelcast?
What companies use Redis?

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What tools integrate with Hazelcast?
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What are some alternatives to Hazelcast and Redis?
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
Memcached
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.
Apache Ignite
It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale
RabbitMQ
RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.
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Interest over time