MongoDB. Hadoop vs. MongoDB: A Comparison. White Paper. The features of Hadoop are described below: Hear Pythian's CTO, Alex Gorbachev share his insights on when you should use Hadoop and MongoDB. MongoDB vs. Hadoop. DynamoDB, Hadoop, and MongoDB are all very different data systems that aren't always interchangeable. Hadoop turned into a platform for processing the mass amounts of data in parallel across over groups of commodity hardware. The key points highlighted above are intended to help you make better decisions about these database systems. Each database has its pros and cons as well as use cases. The MapReduce-based fragmentation of MongoDB can do what Hadoop can do. In this article, we list down the differences between the two popular Big Data tools. Hadoop acts as a supplement to the RDBMS system for archiving data, whereas MongoDB can replace the existing RDBMS completely. Hadoop vs. MongoDB: Comparison Chart . The fields can vary from document to document, and it gives you the flexibility to change the schema any time. Today many industries such as telecom, retail, social media, healthcare sector, and others are continually collecting and generating a tremendous number of zettabytes of user data. Summary. IDC predicts that the digital universe will grow to 2.7 zettabytes in 2012, up 48% from 2011. While Hadoop is used to process data for analytical purposes where larger volumes of data is involved, MongoDB is basically used for real-time processing for usually a smaller subset of data. In this blog, we will learn how MongoDB and Hadoop operate differently on a massive amount of data using its particular components.. MongoDB vs Hadoop Big Solutions for Big Problems. In recent years there has been an explosion of data. Hadoop is a suite/collection of products, but MongoDB is a standalone product in itself. Its framework is based on Java programming which is similar to C and shell scripts. The amount of internet information has risen dramatically in recent years at an increasing pace. MongoDB is a document oriented NoSQL database. Of course, thanks to many features, we can handle Hadoop (HBase , Hive, Pig, etc.) Hadoop: Apache Hadoop is a software programming framework where a large amount of data is stored and used to perform the computation. It has turned out to be synonymous with Big Data, as it is the most prominent Big Data tool. (Hadoop VS MongoDB) Hadoop Features. Big Data -MongoDB vs Hadoop Big Data. MongoDB stores data in flexible JSON like document format. Each database has its pros and cons as well as use cases. By 2015, this is expected to grow to 8 zettabytes of data. Now let’s have a look at MongoDb vs Hadoop Performance.. Read Also, Tips and Tricks for optimizing Database Performance MongoDb Performance. and query data in a Hadoop cluster in a number of ways. 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