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Hazelcast

352
473
+ 1
59
Tarantool

32
45
+ 1
9
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Hazelcast vs Tarantool: What are the differences?

What is 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.

What is Tarantool? Free and open source an in-memory database and application server. It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications.

Hazelcast and Tarantool can be categorized as "In-Memory Databases" tools.

Some of the features offered by Hazelcast are:

  • Distributed implementations of java.util.{Queue, Set, List, Map}
  • Distributed implementation of java.util.concurrent.locks.Lock
  • Distributed implementation of java.util.concurrent.ExecutorService

On the other hand, Tarantool provides the following key features:

  • Fast
  • Open source
  • Easy to use

Hazelcast and Tarantool are both open source tools. It seems that Hazelcast with 3.25K GitHub stars and 1.18K forks on GitHub has more adoption than Tarantool with 2.18K GitHub stars and 213 GitHub forks.

According to the StackShare community, Hazelcast has a broader approval, being mentioned in 35 company stacks & 81 developers stacks; compared to Tarantool, which is listed in 4 company stacks and 3 developer stacks.

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Pros of Hazelcast
Pros of Tarantool
  • 11
    High Availibility
  • 6
    Distributed Locking
  • 6
    Distributed compute
  • 5
    Sharding
  • 4
    Load balancing
  • 3
    Map-reduce functionality
  • 3
    Simple-to-use
  • 3
    Written in java. runs on jvm
  • 3
    Publish-subscribe
  • 3
    Sql query support in cluster wide
  • 2
    Optimis locking for map
  • 2
    Performance
  • 2
    Multiple client language support
  • 2
    Rest interface
  • 1
    Admin Interface (Management Center)
  • 1
    Better Documentation
  • 1
    Easy to use
  • 1
    Super Fast
  • 3
    Performance
  • 2
    Super fast
  • 2
    Open source
  • 1
    Advanced key-value cache
  • 1
    In-memory cache

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Cons of Hazelcast
Cons of Tarantool
  • 4
    License needed for SSL
    Be the first to leave a con

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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 Tarantool?

    It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Hazelcast and Tarantool as a desired skillset
    LaunchDarkly
    Oakland, California, United States
    What companies use Hazelcast?
    What companies use Tarantool?
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    What tools integrate with Hazelcast?
    What tools integrate with Tarantool?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Hazelcast and Tarantool?
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    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
    See all alternatives