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Hazelcast

346
469
+ 1
59
NCache

73
38
+ 1
0
Redis

58.1K
44.7K
+ 1
3.9K
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Pros of Hazelcast
Pros of NCache
Pros of Redis
  • 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
    Be the first to leave a pro
    • 886
      Performance
    • 542
      Super fast
    • 513
      Ease of use
    • 444
      In-memory cache
    • 324
      Advanced key-value cache
    • 194
      Open source
    • 182
      Easy to deploy
    • 164
      Stable
    • 155
      Free
    • 121
      Fast
    • 42
      High-Performance
    • 40
      High Availability
    • 35
      Data Structures
    • 32
      Very Scalable
    • 24
      Replication
    • 22
      Great community
    • 22
      Pub/Sub
    • 19
      "NoSQL" key-value data store
    • 16
      Hashes
    • 13
      Sets
    • 11
      Sorted Sets
    • 10
      NoSQL
    • 10
      Lists
    • 9
      Async replication
    • 9
      BSD licensed
    • 8
      Bitmaps
    • 8
      Integrates super easy with Sidekiq for Rails background
    • 7
      Keys with a limited time-to-live
    • 7
      Open Source
    • 6
      Lua scripting
    • 6
      Strings
    • 5
      Awesomeness for Free
    • 5
      Hyperloglogs
    • 4
      Transactions
    • 4
      Outstanding performance
    • 4
      Runs server side LUA
    • 4
      LRU eviction of keys
    • 4
      Feature Rich
    • 4
      Written in ANSI C
    • 4
      Networked
    • 3
      Data structure server
    • 3
      Performance & ease of use
    • 2
      Dont save data if no subscribers are found
    • 2
      Automatic failover
    • 2
      Easy to use
    • 2
      Temporarily kept on disk
    • 2
      Scalable
    • 2
      Existing Laravel Integration
    • 2
      Channels concept
    • 2
      Object [key/value] size each 500 MB
    • 2
      Simple

    Sign up to add or upvote prosMake informed product decisions

    Cons of Hazelcast
    Cons of NCache
    Cons of Redis
    • 4
      License needed for SSL
      Be the first to leave a con
      • 15
        Cannot query objects directly
      • 3
        No secondary indexes for non-numeric data types
      • 1
        No WAL

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -
      - No public GitHub repository available -

      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 NCache?

      NCache is an open source distributed cache for .NET & .NET Core (Apache 2.0) by Alachisoft. NCache provides an extremely fast and linearly scalable distributed cache that caches application data and reduces expensive database trips.

      What is 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.

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

      Nov 20 2019 at 3:38AM

      OneSignal

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      What are some alternatives to Hazelcast, NCache, 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.
      See all alternatives