MongoDB vs. Memcached 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.

MongoDB

Memcached

Hazelcast

Favorites

416

Favorites

68

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 555
  • 103K
  • 3
  • 11
  • 4.8K
  • -
  • 14
  • 1.73K

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 Memcached?

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

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 MongoDB?

Pros
Why do you like Memcached?

Pros
Why do you like Hazelcast?

Cons about this tool

Cons
Cons
No Cons submitted yet for Memcached
Cons
No Cons submitted yet for Hazelcast

Pricing

MongoDB Pricing

Companies

1767 Companies Using MongoDB
640 Companies Using Memcached
19 Companies Using Hazelcast

Integrations

MongoDB Integrations
Memcached Integrations
Hazelcast Integrations

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...
Deploying Memcached on Kubernetes Engine: tutorial
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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