Memcached vs. Hadoop vs. Hazelcast

Get help choosing one of these Get news updates about these tools


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

Hadoop

Hazelcast

Favorites

68

Favorites

45

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 3
  • 11
  • 4.8K
  • -
  • 29
  • 38.7K
  • -
  • 14
  • 1.73K

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 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.

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.

Pros about this tool

Pros
Why do you like Memcached?

Pros
Why do you like Hadoop?

Pros
Why do you like Hazelcast?

Pricing

Companies

640 Companies Using Memcached
208 Companies Using Hadoop
19 Companies Using Hazelcast

Integrations

Memcached Integrations
Hadoop Integrations
Hazelcast Integrations

Latest News

Deploying Memcached on Kubernetes Engine: tutorial
Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


Interest Over Time


Get help choosing one of these