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Hazelcast
Hazelcast

123
96
+ 1
36
HBase
HBase

189
150
+ 1
12
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Hazelcast vs HBase: 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; HBase: The Hadoop database, a distributed, scalable, big data store. Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

Hazelcast belongs to "In-Memory Databases" category of the tech stack, while HBase can be primarily classified under "Databases".

"High Availibility" is the top reason why over 4 developers like Hazelcast, while over 7 developers mention "Performance" as the leading cause for choosing HBase.

Hazelcast and HBase are both open source tools. Hazelcast with 3.18K GitHub stars and 1.16K forks on GitHub appears to be more popular than HBase with 2.91K GitHub stars and 2.01K GitHub forks.

According to the StackShare community, HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Hazelcast, which is listed in 26 company stacks and 16 developer stacks.

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 HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.
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      What are some alternatives to Hazelcast and HBase?
      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
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      Decisions about Hazelcast and HBase
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      Reviews of Hazelcast and HBase
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      How developers use Hazelcast and HBase
      Avatar of Pinterest
      Pinterest uses HBaseHBase

      The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.

      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 Axibase
      Axibase uses HBaseHBase
      • Raw storage engine
      • Replication
      • Fault-tolerance
      Avatar of Mehdi TAZI
      Mehdi TAZI uses HBaseHBase

      Range scan and HDFS Buffering system

      Avatar of anerudhbalaji
      anerudhbalaji uses HBaseHBase

      Primary datastore

      How much does Hazelcast cost?
      How much does HBase cost?
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