Hadoop vs. HBase vs. FoundationDB

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Hadoop

HBase

FoundationDB

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45

Favorites

13

Favorites

4

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  • 542
  • 206
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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 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 Hadoop?

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Why do you like HBase?

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Why do you like FoundationDB?

Pricing

FoundationDB Pricing

Companies

208 Companies Using Hadoop
48 Companies Using HBase
1 Companies Using FoundationDB

Integrations

Hadoop Integrations
HBase Integrations
No integrations listed yet

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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