Difference Between Mongodb Vs Hadoop

MongoDB and Hadoop are two of the most popular open-source database systems on the market. However, before you decide which one to choose, it’s important to understand the differences between them. In this article, we’ll compare and contrast these two databases so that you can make an informed decision about which one is best for your needs.

What is Hadoop?

MongoDB, formerly known as MongoDB Atlas, is a NoSQL database management system (DBMS) written in Java. It was created in 2009 by Jeff Lindsay, who started the company that developed it, with the goal of making it fast and easy to use for data storage and analytics. MongoDB is notable for its scalability and performance.

Hadoop is an open-source software platform for distributed data processing. It was developed at Yahoo! Research in the early 2000s by Doug Cutting, MapReduce architect Vijay Govindan, and others. Hadoop Distributed File System (HDFS), its primary component, allows organizations to build powerful distributed applications by storing data across many servers. This makes it well-suited for large-scale data storage and analysis tasks, such as machine learning and natural language processing

Differences Between the Tools

MongoDB is a document-oriented database management system, whereas Hadoop is a distributed processing platform for large data sets. MongoDB has several advantages over Hadoop, including being faster and more scalable.

MongoDB also offers some features that are not available in Hadoop, such as full text search and automatic sharding (distributing the workload across multiple servers). While both tools have their pros and cons, it may be best to choose one or the other depending on the specific needs of your project.

How to Choose Which Tool to Use for Your Project

MongoDB is a great choice for simple projects where you need to store data in a document-oriented way. It’s fast, efficient, and can handle lots of data. Hadoop is a good choice for more complex projects where you need to process data on a large scale. It has parallel processing capabilities and can work with various languages.


In this article, we will be diving into the difference between MongoDB and Hadoop. Both of these databases offer different benefits that can be useful in a variety of applications. Ultimately, the decision comes down to what you are looking for in a database. If you want something that is fast and easy to use, then MongoDB is probably a better option for you.

However, if you are looking for features that Hadoop offers, then MongoDB might not be the best choice for you.