Cassandra vs. HBase vs. TokuMX

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Cassandra

HBase

TokuMX

Favorites

57

Favorites

13

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3

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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 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 TokuMX?

TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.

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Why do you like HBase?

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Why do you like TokuMX?

Cons about this tool

Cons
Cons
No Cons submitted yet for HBase
Cons
No Cons submitted yet for TokuMX

Pricing

Companies

278 Companies Using Cassandra
48 Companies Using HBase
2 Companies Using TokuMX

Integrations

Cassandra Integrations
HBase Integrations
TokuMX Integrations

Latest News

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Cassandra Query Language


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