Hadoop vs. HBase vs. MarkLogic

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Hadoop

HBase

MarkLogic

Favorites

45

Favorites

13

Favorites

4

Hacker News, Reddit, Stack Overflow Stats

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  • 38.9K
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  • 6.21K
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  • 66
  • 2.31K

GitHub Stats

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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 HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

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 Hadoop?

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Why do you like HBase?

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Why do you like MarkLogic?

Companies

209 Companies Using Hadoop
47 Companies Using HBase
1 Companies Using MarkLogic

Integrations

Hadoop Integrations
HBase Integrations
No integrations listed yet

What are some alternatives to Hadoop, HBase, 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 Hadoop

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


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