MongoDB vs. Hadoop vs. Hazelcast

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MongoDB

Hadoop

Hazelcast

Favorites

387

Favorites

43

Favorites

7

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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 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.

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Why do you like MongoDB?

Why do you like Hadoop?

Why do you like Hazelcast?

Cons about this tool

Pricing

Hazelcast Pricing

Customers

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Latest News

MongoDB Drops ACID
MongoDB’s Drive to Multi-Document Transactions
New to MongoDB Atlas — Cloud Provider Snapshots on A...
Introducing Spark Structured Streaming Support in ES...
Spring for Apache Hadoop 2.5.0 GA released
Spring for Apache Hadoop 2.5.0.RC1 released
Spring Integration Extension for Hazelcast 1.0.0 GA ...
Build a Spring Boot API with Hazelcast for Cached Us...


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