MySQL vs. MongoDB vs. Hazelcast

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Heads up: you're comparing apples to oranges. Tools belonging to different groups are often not directly comparable because they usually have different intended purposes and benefits.

MySQL

MongoDB

Hazelcast

Favorites

387

Favorites

416

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 1.11K
  • 8.42K
  • 530K
  • 623
  • 555
  • 103K
  • -
  • 14
  • 1.73K

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 Hazelcast?

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Pros about this tool

Pros
Why do you like MySQL?

Pros
Why do you like MongoDB?

Pros
Why do you like Hazelcast?

Cons about this tool

Cons
Cons
Cons
No Cons submitted yet for Hazelcast

Pricing

MongoDB Pricing

Companies

2414 Companies Using MySQL
1769 Companies Using MongoDB
19 Companies Using Hazelcast

Integrations

MySQL Integrations
MongoDB Integrations
Hazelcast Integrations

Latest News

MySQL @ FOSSASIA, 2018
Using dbdeployer in CI tests
Archiving MySQL Tables in ClickHouse
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...
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


Interest Over Time


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