Hadoop vs. Hazelcast vs. TokuMX

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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

Hazelcast

TokuMX

Favorites

45

Favorites

8

Favorites

3

Hacker News, Reddit, Stack Overflow Stats

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  • 29
  • 38.7K
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  • 14
  • 1.73K
  • 538
  • 134
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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 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.

What is TokuMX?

TokuMX is a drop-in replacement for MongoDB, and offers 20X performance improvements, 90% reduction in database size, and support for ACID transactions with MVCC. TokuMX has the same binaries, supports the same drivers, data model, and features of MongoDB, because it shares much of its code with MongoDB.

Pros about this tool

Pros
Why do you like Hadoop?

Pros
Why do you like Hazelcast?

Pros
Why do you like TokuMX?

Pricing

Companies

208 Companies Using Hadoop
19 Companies Using Hazelcast
2 Companies Using TokuMX

Integrations

Hadoop Integrations
Hazelcast Integrations
TokuMX Integrations

Latest News

Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


Interest Over Time


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