Cassandra vs. Hadoop vs. Riak

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Cassandra

Hadoop

Riak

Favorites

57

Favorites

45

Favorites

16

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

Description

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.

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.

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Why do you like Cassandra?

Pros
Why do you like Hadoop?

Pros
Why do you like Riak?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for Riak

Companies

290 Companies Using Cassandra
210 Companies Using Hadoop
16 Companies Using Riak

Integrations

Cassandra Integrations
Hadoop Integrations
Riak Integrations

What are some alternatives to Cassandra, 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 Cassandra

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