Cassandra vs. Hadoop vs. MarkLogic

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Cassandra

Hadoop

MarkLogic

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 MarkLogic?

MarkLogic is the only Enterprise NoSQL database, bringing all the features you need into one unified system: a document-centric, schema-agnostic, structure-aware, clustered, transactional, secure, database server with built-in search and a full suite of application services.

Pros about this tool

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Why do you like Cassandra?

Pros
Why do you like Hadoop?

Pros
Why do you like MarkLogic?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for MarkLogic

Companies

289 Companies Using Cassandra
209 Companies Using Hadoop
1 Companies Using MarkLogic

Integrations

Cassandra Integrations
Hadoop Integrations
No integrations listed yet

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

  • 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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Elasticsearch for Apache Hadoop 6.0.0 GA is Released


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