MySQL vs. MongoDB vs. Hadoop

Get help choosing one of these Get news updates about these tools


MySQL

MongoDB

Hadoop

Favorites

369

Favorites

405

Favorites

44

Hacker News, Reddit, Stack Overflow Stats

  • 1.11K
  • 4.26K
  • 519K
  • 623
  • 542
  • 98.9K
  • -
  • 29
  • 38K

GitHub Stats

Description

What is MySQL?

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

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.

Pros about this tool

Why do you like MySQL?

Why do you like MongoDB?

Why do you like Hadoop?

Cons about this tool

Customers

Integrations

Latest News

MySQL @ FOSSASIA, 2018
Using dbdeployer in CI tests
Archiving MySQL Tables in ClickHouse
This Week in Data with Colin Charles 28: Percona Liv...
MongoDB Drops ACID
MongoDB’s Drive to Multi-Document Transactions
Elasticsearch for Apache Hadoop 6.2.0 Released
How to Get Hadoop Data into a Python Model
Introducing Spark Structured Streaming Support in ES...


Interest Over Time


Get help choosing one of these