MongoDB vs. Memcached vs. Hadoop

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MongoDB

Memcached

Hadoop

Favorites

388

Favorites

63

Favorites

43

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  • 95.2K
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  • 37.1K

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 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.

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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
Introducing Spark Structured Streaming Support in ES...
Spring for Apache Hadoop 2.5.0 GA released
Elasticsearch for Apache Hadoop 5.5.0


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