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Amazon ElastiCache

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Amazon ElastiCache vs Hazelcast: What are the differences?

Introduction

Amazon ElastiCache and Hazelcast are both popular in-memory data caching solutions that provide high performance and scalability for applications. However, there are key differences between these two technologies that make them suitable for different use cases.

  1. Data Persistence: Amazon ElastiCache supports data persistence to Amazon S3, allowing you to store cache data even when the cache cluster is restarted. Hazelcast, on the other hand, does not provide built-in data persistence mechanisms.

  2. Cloud Support: Amazon ElastiCache is a fully managed service provided by AWS, which means it is tightly integrated with other AWS services and is highly scalable. In contrast, Hazelcast can be deployed on-premises or in various cloud environments, offering more flexibility in terms of deployment options.

  3. Ease of Use: Amazon ElastiCache offers a simple and intuitive API that makes it easy to integrate with applications running on AWS. It also provides seamless integration with other AWS services, such as Amazon CloudWatch for monitoring and AWS Identity and Access Management (IAM) for access control. Hazelcast, while also having a user-friendly interface, may require more configuration and setup for integration with different environments.

  4. Language Support: Amazon ElastiCache is optimized for Java applications and provides native language clients for Java, .NET, Python, Ruby, Node.js, and PHP. Hazelcast, on the other hand, supports a wider range of programming languages including Java, .NET, C++, Python, Node.js, and more, making it more versatile for developers using different language stacks.

  5. Cluster Management: Amazon ElastiCache offers automatic cluster management, allowing you to easily scale your cache cluster up or down and handle node failures without manual intervention. Hazelcast also supports cluster management features, but it may require more configuration and monitoring from the user's side.

  6. Pricing Model: Amazon ElastiCache has a pay-as-you-go pricing model, which charges you based on the size and number of cache nodes you use. Hazelcast, on the other hand, offers both open-source and enterprise versions, with the enterprise version providing additional features and support but requiring a subscription.

In summary, Amazon ElastiCache is a fully managed service provided by AWS with built-in data persistence and tight integration with other AWS services. It is optimized for Java applications and offers simple cluster management. Hazelcast, on the other hand, is more versatile in terms of language support, allowing developers to choose from a wider range of programming languages and deployment options. It is suitable for both on-premises and cloud environments but may require more configuration and setup compared to Amazon ElastiCache.

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Pros of Amazon ElastiCache
Pros of Hazelcast
  • 58
    Redis
  • 32
    High-performance
  • 26
    Backed by amazon
  • 21
    Memcached
  • 14
    Elastic
  • 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

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Cons of Amazon ElastiCache
Cons of Hazelcast
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    • 4
      License needed for SSL

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    What is Amazon ElastiCache?

    ElastiCache improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory caches, instead of relying entirely on slower disk-based databases. ElastiCache supports Memcached and Redis.

    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.

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    What companies use Amazon ElastiCache?
    What companies use Hazelcast?
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    What tools integrate with Amazon ElastiCache?
    What tools integrate with Hazelcast?

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    What are some alternatives to Amazon ElastiCache and Hazelcast?
    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.
    Elasticsearch
    Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
    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.
    Azure Redis Cache
    It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.
    Amazon DynamoDB
    With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
    See all alternatives