Hadoop vs MongoDB- Which one should you be using for processing Big Data?

The amount of data which is being processed by every company is huge, and continues to grow rapidly with every passing year. In fact, it is being said that companies can easily double their own data every two years. According to IDC’s annual Digital Universe study, by the year 2020, data present is expected to reach 44 ZettaBytes (44 trillion GigaBytes). Such large amounts of data cannot be processed through traditional methods and have come to be known as Big Data. Organising this data requires Big Data platforms such as Hadoop and MongoDB. Differences between both will be highlighted in this blog.

There are a total of 150 different no-SQL platforms which are not being driven by Relational Databases. Among the various platforms, two have become increasingly popular- Hadoop and MongoDB. It is necessary to go through Hadoop Training to work on Apache Hadoop. Though there are several similarities between the two, their ways of storing and processing data is very different.

Hadoop -Training-in-Delhi

Differences between Hadoop and Mongo DB

Hadoop MongoDB
Open source project prepared by Doug Cutting. Hadoop released in 2007 and became a platform to parallel process huge amounts of data on large clusters of hardware. Originally developed by 10gen in 2007 as a cloud-based app engine, meant to run various services and software.
Hadoop consists of Hadoop Distributed File System (HDFS) and MapReduce, which are written in Java. It can run on clusters of commodity hardware, and can assimilate data in any format. It stores data as collections, in the form of Binary JSON. Though written on C++, it can be deployed on Linux and Windows machines.
Collection of components to build distributed applications. It has various core components. Scalable and document oriented no-SQL database. It is also a standalone application
In case you want a solution for long term running analytics while also being able to query data as per needs, then Hadoop can serve your needs. In case low latency real time data is to be processed, or if a solution to your RDBMS is being searched, then MongoDB is a good idea.

 To get more information on Apache Hadoop, look for Hadoop Training at a reputed institute. There are many institutes which provide Hadoop Training in Delhi.


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