MongoDB vs. Hadoop vs. RethinkDB

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MongoDB

Hadoop

RethinkDB

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419

Favorites

45

Favorites

59

Hacker News, Reddit, Stack Overflow Stats

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  • 599
  • 104K
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  • 29
  • 38.9K
  • 5.12K
  • 1.16K
  • 1.33K

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 RethinkDB?

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Pros about this tool

Pros
Why do you like MongoDB?

Pros
Why do you like Hadoop?

Pros
Why do you like RethinkDB?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for RethinkDB

Pricing

MongoDB Pricing

Companies

1814 Companies Using MongoDB
210 Companies Using Hadoop
38 Companies Using RethinkDB

Integrations

MongoDB Integrations
Hadoop Integrations
RethinkDB Integrations

What are some alternatives to MongoDB, Hadoop, and RethinkDB?

  • MySQL - The world's most popular open source database
  • PostgreSQL - A powerful, open source object-relational database system
  • Microsoft SQL Server - A relational database management system developed by Microsoft
  • MariaDB - An enhanced, drop-in replacement for MySQL

See all alternatives to MongoDB

Latest News

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How to Get Hadoop Data into a Python Model
Elasticsearch for Apache Hadoop 6.0.0 GA is Released
The liberation of RethinkDB


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