MongoDB vs. Hadoop vs. HBase

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MongoDB

Hadoop

HBase

Favorites

415

Favorites

45

Favorites

13

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 555
  • 102K
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  • 29
  • 38.6K
  • -
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  • 6.18K

GitHub Stats

Description

What is MongoDB?

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

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.

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Why do you like MongoDB?

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Why do you like Hadoop?

Pros
Why do you like HBase?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for HBase

Pricing

MongoDB Pricing

Companies

1765 Companies Using MongoDB
207 Companies Using Hadoop
48 Companies Using HBase

Integrations

MongoDB Integrations
Hadoop Integrations
HBase Integrations

Latest News

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