MongoDB vs. Cassandra vs. HBase

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MongoDB

Cassandra

HBase

Favorites

416

Favorites

57

Favorites

13

Hacker News, Reddit, Stack Overflow Stats

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  • 555
  • 103K
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  • 24
  • 14.9K
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  • 6.18K

GitHub Stats

Description

What is MongoDB?

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

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.

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Cons about this tool

Cons
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No Cons submitted yet for HBase

Pricing

MongoDB Pricing

Companies

1767 Companies Using MongoDB
277 Companies Using Cassandra
48 Companies Using HBase

Integrations

MongoDB Integrations
Cassandra Integrations
HBase Integrations

Latest News

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Cassandra Query Language


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