Cassandra vs. HBase vs. RocksDB

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Cassandra

HBase

RocksDB

Favorites

57

Favorites

13

Favorites

8

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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 RocksDB?

RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.

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Why do you like Cassandra?

Pros
Why do you like HBase?

Pros
Why do you like RocksDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for HBase
Cons
No Cons submitted yet for RocksDB

Companies

290 Companies Using Cassandra
47 Companies Using HBase
4 Companies Using RocksDB

Integrations

Cassandra Integrations
HBase Integrations
No integrations listed yet

What are some alternatives to Cassandra, HBase, and RocksDB?

  • 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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