Hadoop vs MongoDB: What are the differences?
What is Hadoop? Open-source software for reliable, scalable, distributed computing. 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.
What is MongoDB? The database for giant ideas. 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.
Hadoop and MongoDB belong to "Databases" category of the tech stack.
"Great ecosystem" is the primary reason why developers consider Hadoop over the competitors, whereas "Document-oriented storage" was stated as the key factor in picking MongoDB.
Hadoop and MongoDB are both open source tools. MongoDB with 16.3K GitHub stars and 4.1K forks on GitHub appears to be more popular than Hadoop with 9.26K GitHub stars and 5.78K GitHub forks.
Uber Technologies, Lyft, and Codecademy are some of the popular companies that use MongoDB, whereas Hadoop is used by Airbnb, Uber Technologies, and Spotify. MongoDB has a broader approval, being mentioned in 2189 company stacks & 2218 developers stacks; compared to Hadoop, which is listed in 237 company stacks and 127 developer stacks.
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