Cassandra vs. HBase vs. CrateIO

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Cassandra

HBase

CrateIO

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57

Favorites

13

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5

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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 CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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Cons about this tool

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No Cons submitted yet for HBase
Cons
No Cons submitted yet for CrateIO

Companies

277 Companies Using Cassandra
48 Companies Using HBase
0 Companies Using CrateIO

Integrations

Cassandra Integrations
HBase Integrations
CrateIO Integrations

Latest News

Cassandra Load Testing with Groovy
Using Instaclustr and Cassandra with Kong
Cassandra Query Language


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