MongoDB vs. Hadoop vs. IBM DB2

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MongoDB

Hadoop

IBM DB2

Favorites

418

Favorites

45

Favorites

7

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 599
  • 104K
  • -
  • 29
  • 38.9K
  • -
  • 1.37K
  • 8.58K

GitHub Stats

No public GitHub repository stats available

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 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 IBM DB2?

Cons about this tool

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Cons
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Pricing

MongoDB Pricing

Companies

1808 Companies Using MongoDB
209 Companies Using Hadoop
7 Companies Using IBM DB2

Integrations

MongoDB Integrations
Hadoop Integrations
IBM DB2 Integrations

What are some alternatives to MongoDB, Hadoop, and IBM DB2?

  • 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

Sharded replica sets - MySQL and MongoDB
This Week in Data with Colin Charles 28: Percona Liv...
Performing a Live Migration from a MongoDB Cluster t...
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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