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

407

Favorites

67

Favorites

8

Hacker News, Reddit, Stack Overflow Stats

  • 623
  • 555
  • 100K
  • 3
  • 11
  • 4.77K
  • -
  • 14
  • 1.66K

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

Why do you like MongoDB?

Why do you like Memcached?

Why do you like Hazelcast?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

Integrations

Latest News

This Week in Data with Colin Charles 28: Percona Liv...
MongoDB Drops ACID
MongoDB’s Drive to Multi-Document Transactions
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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