Hadoop vs. Oracle vs. HBase

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Hadoop

Oracle

HBase

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45

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20

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13

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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 Oracle?

Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

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.

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Companies

209 Companies Using Hadoop
79 Companies Using Oracle
47 Companies Using HBase

Integrations

Hadoop Integrations
Oracle Integrations
HBase Integrations

What are some alternatives to Hadoop, Oracle, and HBase?

  • 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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