Cassandra vs. Hadoop vs. ToroDB

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Cassandra

Hadoop

ToroDB

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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 ToroDB?

ToroDB is an open source, document-oriented, JSON database that runs on top of PostgreSQL, providing storage and I/O savings and ACID semantics. ToroDB is MongoDB-compatible, so you can use Mongo clients to connect to it.

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Why do you like Cassandra?

Pros
Why do you like Hadoop?

Pros
Why do you like ToroDB?

Cons about this tool

Cons
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No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for ToroDB
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Pricing

ToroDB Pricing

Companies

288 Companies Using Cassandra
209 Companies Using Hadoop
0 Companies Using ToroDB

Integrations

Cassandra Integrations
Hadoop Integrations
ToroDB Integrations

What are some alternatives to Cassandra, Hadoop, and ToroDB?

  • 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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How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released


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