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Hazelcast
Hazelcast

125
98
+ 1
36
Hibernate
Hibernate

602
417
+ 1
16
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Hazelcast vs Hibernate: What are the differences?

Developers describe Hazelcast as "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. On the other hand, Hibernate is detailed as "Idiomatic persistence for Java and relational databases". Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

Hazelcast and Hibernate are primarily classified as "In-Memory Databases" and "Object Relational Mapper (ORM)" tools respectively.

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

Hazelcast is an open source tool with 3.18K GitHub stars and 1.16K GitHub forks. Here's a link to Hazelcast's open source repository on GitHub.

According to the StackShare community, Hibernate has a broader approval, being mentioned in 87 company stacks & 74 developers stacks; compared to Hazelcast, which is listed in 26 company stacks and 16 developer stacks.

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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 Hibernate?

Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.
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      What are some alternatives to Hazelcast and Hibernate?
      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.
      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.
      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.
      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.
      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
      See all alternatives
      Decisions about Hazelcast and Hibernate
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      How developers use Hazelcast and Hibernate
      Avatar of Vital Labs, Inc.
      Vital Labs, Inc. uses HazelcastHazelcast

      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.

      Avatar of Kang Hyeon Ku
      Kang Hyeon Ku uses HibernateHibernate

      Mybatis ๋กœ ์ฟผ๋ฆฌ๋ฅผ ๋งŒ๋“ค๊ณ  ์กฐ๊ฑด๋ถ„ ๋ถ„๊ธฐ์‹ for ๋ฌธ์„ ์ฟผ๋ฆฌ์— ๋‹ฌ์•„ ๋”์ด์ƒ ์ฟผ๋ฆฌ๋ฅผ ์•Œ์•„ ๋ณผ ์ˆ˜ ์—†๊ฒŒ ๋˜์—ˆ์„๋•Œ ์ด๊ฒŒ ์˜๋งˆ๊ฐ€ ์žˆ๋‚˜ ์‹ถ์—ˆ๋‹ค. ๊ทธ ๋•Œ ํ•œ๋ฒˆ orm ์„ ์จ๋ณด๋ฉด ์–ด๋–จ๊นŒ ์‹ถ์–ด ์ตœ๊ทผ์— ๋ฐฐ์šฐ๊ธฐ ์‹œ์ž‘ํ•œ orm ์ด๋‹ค. ์ •๋ง ํŽธํ•˜๊ฒŒ ๊ฐœ๋ฐœ์„ ํ•  ์ˆ˜ ์žˆ๋Š”๋ฐ ์ผ์กฐํ•˜๊ณ  ์žˆ๋‹ค. ๋‹ค๋งŒ ๊ฒฐ๊ตญ์— ์ฟผ๋ฆฌ๋ฅผ ๋‚ ๋ ค ๋งตํ•‘์„ ํ•˜๋Š”๋ฐ, ์ฟผ๋ฆฌ๋ฅผ ์ž˜ ๋ชจ๋ฅด๊ฑฐ๋‚˜ ๊ทธ์— ๋Œ€ํ•œ ์ง€์‹ ์—†์ด ์“ฐ๋‹ค๊ฐ€๋Š” ๋งํ•˜๊ฒ ๊ตฌ๋‚˜ ํ•˜๋Š” ์ƒ๊ฐ์ด ๋งŽ์ด ๋“ค์—ˆ๋‹ค.

      Avatar of Analytical Informatics
      Analytical Informatics uses HibernateHibernate

      We use a Clojure-powered wrapper around Hibernate to provide an ORM access to our data store for applications, as well as offering SSO integration and HIPAA logging functionality.

      Avatar of Tongliang Liu
      Tongliang Liu uses HibernateHibernate

      Can't escape from when you're on the Java stack and deal with relational db.

      Avatar of Satoru Ishikawa
      Satoru Ishikawa uses HibernateHibernate

      Strut ใ‚„ Spring ใชใฉ Java web app flame work ใงใฎ Object Relation Mapperใจใ—ใฆ

      Avatar of icarus-dave
      icarus-dave uses HibernateHibernate

      Persistence layer for backend data; maps entities to the database.

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