Memcached vs. Hadoop vs. Riak

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Memcached

Hadoop

Riak

Favorites

68

Favorites

45

Favorites

16

Hacker News, Reddit, Stack Overflow Stats

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  • 4.81K
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  • 29
  • 38.9K
  • 1.45K
  • 438
  • 759

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 Riak?

Riak is a distributed database designed to deliver maximum data availability by distributing data across multiple servers. As long as your client can reach one Riak server, it should be able to write data. In most failure scenarios, the data you want to read should be available, although it may not be the most up-to-date version of that data.

Pros about this tool

Pros
Why do you like Memcached?

Pros
Why do you like Hadoop?

Pros
Why do you like Riak?

Companies

658 Companies Using Memcached
210 Companies Using Hadoop
16 Companies Using Riak

Integrations

Memcached Integrations
Hadoop Integrations
Riak Integrations

What are some alternatives to Memcached, Hadoop, and Riak?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • MongoDB - The database for giant ideas
  • Microsoft SQL Server - A relational database management system developed by Microsoft

See all alternatives to Memcached

Latest News

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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
Scaling Riak and Solr for Marketing Campaigns
How to Back Up Riak and Solr Data


Interest Over Time


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