Memcached vs. Cassandra vs. Hadoop

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Memcached

Cassandra

Hadoop

Favorites

68

Favorites

57

Favorites

45

Hacker News, Reddit, Stack Overflow Stats

  • 3
  • 11
  • 4.8K
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  • 24
  • 14.9K
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  • 29
  • 38.7K

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 Cassandra?

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

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.

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Why do you like Cassandra?

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Why do you like Hadoop?

Cons about this tool

Cons
No Cons submitted yet for Memcached
Cons
Cons
No Cons submitted yet for Hadoop

Companies

642 Companies Using Memcached
278 Companies Using Cassandra
208 Companies Using Hadoop

Integrations

Memcached Integrations
Cassandra Integrations
Hadoop Integrations

Latest News

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Cassandra Load Testing with Groovy
Using Instaclustr and Cassandra with Kong
Cassandra Query Language
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


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