Cassandra vs. Hadoop vs. TokuMX

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Cassandra

Hadoop

TokuMX

Favorites

57

Favorites

45

Favorites

3

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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 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 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.

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Why do you like Cassandra?

Pros
Why do you like Hadoop?

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Why do you like TokuMX?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for TokuMX

Pricing

Companies

277 Companies Using Cassandra
208 Companies Using Hadoop
2 Companies Using TokuMX

Integrations

Cassandra Integrations
Hadoop Integrations
TokuMX Integrations

Latest News

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Using Instaclustr and Cassandra with Kong
Cassandra Query Language
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


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