MongoDB vs. Hadoop vs. CrateIO

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MongoDB

Hadoop

CrateIO

Favorites

419

Favorites

45

Favorites

5

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 599
  • 104K
  • -
  • 29
  • 38.9K
  • 763
  • 961
  • 0

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 CrateIO?

Crate is a distributed data store. Simply install Crate directly on your application servers and make the big centralized database a thing of the past. Crate takes care of synchronization, sharding, scaling, and replication even for mammoth data sets.

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Why do you like MongoDB?

Pros
Why do you like Hadoop?

Pros
Why do you like CrateIO?

Cons about this tool

Cons
Cons
No Cons submitted yet for Hadoop
Cons
No Cons submitted yet for CrateIO

Pricing

MongoDB Pricing

Companies

1812 Companies Using MongoDB
209 Companies Using Hadoop
0 Companies Using CrateIO

Integrations

MongoDB Integrations
Hadoop Integrations
CrateIO Integrations

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

  • 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


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