Cassandra vs. Hadoop vs. HBase

Get help choosing one of these Get news updates about these tools


Cassandra

Hadoop

HBase

Favorites

57

Favorites

45

Favorites

13

Hacker News, Reddit, Stack Overflow Stats

  • -
  • 24
  • 14.7K
  • -
  • 29
  • 38.5K
  • -
  • -
  • 6.15K

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 Hadoop?

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.

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.

Pros about this tool

Why do you like Cassandra?

Why do you like Hadoop?

Why do you like HBase?

Cons about this tool

Companies Using

Integrations

Latest News

Cassandra Load Testing with Groovy
Using Instaclustr and Cassandra with Kong
Cassandra Query Language
Introducing Spark Structured Streaming Support in ES...
Spring for Apache Hadoop 2.5.0 GA released
Spring for Apache Hadoop 2.5.0.RC1 released


Interest Over Time


Get help choosing one of these