- Published on July 29, 2019
- In Deep Tech
Hadoop vs MongoDB: Which Tool Is Better For Harnessing Big Data
- By Ambika Choudhury
According to a research report, the Hadoop big data analytics market is forecasted to grow at a CAGR of 40% over the next four years. Given the current state where enterprises are dealing with a vast amount of structured and unstructured data, cost-effective Hadoop big data solutions are widely deployed to analyse data better.
Relational databases cannot manage unstructured data. That’s where Hadoop and MongoDB big data solutions come into the picture, to deal with large and unstructured data. Although both the platforms have some similarities, for example, they are compatible with Spark and both perform parallel processing, there are also certain differences.
Apache Hadoop is a framework which is used for distributed processing in a large amount of data while MongoDB is a No
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Ambika Choudhury
A Technical Journalist who loves writing about Machine Learning and Artificial Intelligence. A lover of music, writing and learning something out of the box.
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