Hadoop vs. HBase vs. IBM DB2

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Hadoop

HBase

IBM DB2

Favorites

45

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13

Favorites

7

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  • 38.7K
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  • 8.47K

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 IBM DB2?

DB2 for Linux, UNIX, and Windows is optimized to deliver industry-leading performance across multiple workloads, while lowering administration, storage, development, and server costs.

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Why do you like HBase?

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Companies

207 Companies Using Hadoop
48 Companies Using HBase
7 Companies Using IBM DB2

Integrations

Hadoop Integrations
HBase Integrations
IBM DB2 Integrations

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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