Cassandra vs. Hadoop vs. IBM DB2

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Cassandra

Hadoop

IBM DB2

Favorites

57

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45

Favorites

7

Hacker News, Reddit, Stack Overflow Stats

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GitHub Stats

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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 IBM DB2?

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

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Why do you like Cassandra?

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Why do you like Hadoop?

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Why do you like IBM DB2?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for IBM DB2

Companies

289 Companies Using Cassandra
209 Companies Using Hadoop
7 Companies Using IBM DB2

Integrations

Cassandra Integrations
Hadoop Integrations
IBM DB2 Integrations

What are some alternatives to Cassandra, Hadoop, and IBM DB2?

  • 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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