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


+ 1

+ 1
Add tool

Ehcache vs Hazelcast: What are the differences?

  1. Key difference 1: Distributed Data: Ehcache is primarily a local caching mechanism, meaning it stores data on a single node or machine. On the other hand, Hazelcast is a distributed caching system, allowing the data to be shared across multiple nodes or machines in a cluster. This enables better scalability and fault tolerance for Hazelcast compared to Ehcache.

  2. Key difference 2: Replication: Ehcache only supports simple replication of data within a single node, while Hazelcast provides full data replication across all nodes in the cluster. This means that in case of failure, the data can be readily available on other nodes in Hazelcast, whereas in Ehcache, the data would be lost unless additional measures are taken.

  3. Key difference 3: Eventual Consistency: Ehcache emphasizes strong consistency, meaning that data is immediately updated and available for all subsequent read operations. On the other hand, Hazelcast supports eventual consistency, where data updates may take some time to propagate across the cluster. This trade-off allows Hazelcast to achieve better performance and scalability by reducing the need for synchronous updates.

  4. Key difference 4: Querying Capabilities: While Ehcache provides limited querying capabilities through its local cache, Hazelcast offers a robust querying API that allows for complex queries across distributed data. This enables developers to perform more advanced operations, such as filtering and sorting, directly on the Hazelcast cache.

  5. Key difference 5: Open Source Licensing: Ehcache is an open source caching library developed by Terracotta Inc., while Hazelcast is a fully open source in-memory data grid platform. This means that Hazelcast is more flexible and can be customized as per the specific requirements of the application.

  6. Key difference 6: Integration: Ehcache has good integration with popular frameworks like Hibernate and Spring, making it easier to incorporate caching in applications built on these frameworks. Hazelcast, on the other hand, provides a broader range of integration options, including support for Java Caching API (JSR-107) and integration with other distributed systems like Apache Kafka and Apache Ignite.

In Summary, Ehcache is a local caching mechanism with limited querying capabilities, while Hazelcast is a distributed caching system with robust querying API, full data replication, and better integration options.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Ehcache
Pros of Hazelcast
  • 1
    Way Faster than Redis and Elasticache Redis
  • 1
    Easy setup
  • 1
    Simpler to run in testing environment
  • 1
    Container doesn't have to be running for local tests
  • 11
    High Availibility
  • 6
    Distributed Locking
  • 6
    Distributed compute
  • 5
  • 4
    Load balancing
  • 3
    Map-reduce functionality
  • 3
  • 3
    Written in java. runs on jvm
  • 3
  • 3
    Sql query support in cluster wide
  • 2
    Optimis locking for map
  • 2
  • 2
    Multiple client language support
  • 2
    Rest interface
  • 1
    Admin Interface (Management Center)
  • 1
    Better Documentation
  • 1
    Easy to use
  • 1
    Super Fast

Sign up to add or upvote prosMake informed product decisions

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

    Sign up to add or upvote consMake informed product decisions

    What is Ehcache?

    Ehcache is an open source, standards-based cache for boosting performance, offloading your database, and simplifying scalability. It's the most widely-used Java-based cache because it's robust, proven, and full-featured. Ehcache scales from in-process, with one or more nodes, all the way to mixed in-process/out-of-process configurations with terabyte-sized caches.

    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.

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

    What companies use Ehcache?
    What companies use Hazelcast?
    See which teams inside your own company are using Ehcache or Hazelcast.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Ehcache?
    What tools integrate with Hazelcast?
      No integrations found

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

      Blog Posts

      What are some alternatives to Ehcache and Hazelcast?
      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
      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.
      The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.
      JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
      See all alternatives