Cassandra vs. HBase vs. IBM DB2

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Cassandra

HBase

IBM DB2

Favorites

57

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13

Favorites

7

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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 HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

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.

Pros about this tool

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Why do you like Cassandra?

Pros
Why do you like HBase?

Pros
Why do you like IBM DB2?

Cons about this tool

Cons
Cons
No Cons submitted yet for HBase
Cons
No Cons submitted yet for IBM DB2

Companies

289 Companies Using Cassandra
47 Companies Using HBase
7 Companies Using IBM DB2

Integrations

Cassandra Integrations
HBase Integrations
IBM DB2 Integrations

What are some alternatives to Cassandra, HBase, 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

Latest News

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