Cassandra vs. Hadoop vs. RethinkDB

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Cassandra

Hadoop

RethinkDB

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57

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45

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59

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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 RethinkDB?

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Pros about this tool

Pros
Why do you like Cassandra?

Pros
Why do you like Hadoop?

Pros
Why do you like RethinkDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for RethinkDB

Companies

290 Companies Using Cassandra
210 Companies Using Hadoop
38 Companies Using RethinkDB

Integrations

Cassandra Integrations
Hadoop Integrations
RethinkDB Integrations

What are some alternatives to Cassandra, Hadoop, and RethinkDB?

  • 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

Latest News

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The liberation of RethinkDB


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