Cassandra vs. Hadoop vs. FoundationDB

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Cassandra

Hadoop

FoundationDB

Favorites

57

Favorites

45

Favorites

4

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GitHub Stats

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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 FoundationDB?

FoundationDB is a NoSQL database with a shared nothing architecture. Designed around a "core" ordered key-value database, additional features and data models are supplied in layers. The key-value database, as well as all layers, supports full, cross-key and cross-server ACID transactions.

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Why do you like Cassandra?

Pros
Why do you like Hadoop?

Pros
Why do you like FoundationDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for FoundationDB

Pricing

FoundationDB Pricing

Companies

277 Companies Using Cassandra
208 Companies Using Hadoop
1 Companies Using FoundationDB

Integrations

Cassandra Integrations
Hadoop Integrations
No integrations listed yet

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