Hadoop vs Microsoft Azure: What are the differences?
Developers describe Hadoop as "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. On the other hand, Microsoft Azure is detailed as "Integrated cloud services and infrastructure to support computing, database, analytics, mobile, and web scenarios". Azure is an open and flexible cloud platform that enables you to quickly build, deploy and manage applications across a global network of Microsoft-managed datacenters. You can build applications using any language, tool or framework. And you can integrate your public cloud applications with your existing IT environment.
Hadoop can be classified as a tool in the "Databases" category, while Microsoft Azure is grouped under "Cloud Hosting".
"Great ecosystem" is the top reason why over 34 developers like Hadoop, while over 108 developers mention "Scales well and quite easy" as the leading cause for choosing Microsoft Azure.
Hadoop is an open source tool with 9.4K GitHub stars and 5.85K GitHub forks. Here's a link to Hadoop's open source repository on GitHub.
According to the StackShare community, Microsoft Azure has a broader approval, being mentioned in 712 company stacks & 2315 developers stacks; compared to Hadoop, which is listed in 309 company stacks and 623 developer stacks.
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