Hadoop vs. HBase vs. Hazelcast

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


Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

Hadoop

HBase

Hazelcast

Favorites

45

Favorites

13

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • -
  • 29
  • 38.5K
  • -
  • -
  • 6.14K
  • -
  • 14
  • 1.69K

GitHub Stats

Description

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.

What is Hazelcast?

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Pros about this tool

Why do you like Hadoop?

Why do you like HBase?

Why do you like Hazelcast?

Pricing

Hazelcast Pricing

Companies Using

Integrations

Latest News

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
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


Interest Over Time


Get help choosing one of these