Hadoop vs Spring Batch: What are the differences?
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; Spring Batch: A lightweight, comprehensive batch framework. It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management..
Hadoop belongs to "Databases" category of the tech stack, while Spring Batch can be primarily classified under "Frameworks (Full Stack)".
Hadoop and Spring Batch are both open source tools. It seems that Hadoop with 9.27K GitHub stars and 5.78K forks on GitHub has more adoption than Spring Batch with 1.3K GitHub stars and 1.3K GitHub forks.
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