Memcached vs. Hazelcast vs. Hadoop

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

Memcached

Hazelcast

Hadoop

Favorites

67

Favorites

8

Favorites

44

Hacker News, Reddit, Stack Overflow Stats

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  • 4.77K
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  • 14
  • 1.66K
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  • 29
  • 38.3K

GitHub Stats

Description

What is 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.

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 Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

Pros about this tool

Why do you like Memcached?

Why do you like Hazelcast?

Why do you like Hadoop?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

Deploying Memcached on Kubernetes Engine: tutorial
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...
Elasticsearch for Apache Hadoop 6.2.0 Released
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
Introducing Spark Structured Streaming Support in ES...


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