Hadoop vs Minio: 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, Minio is detailed as "AWS S3 open source alternative written in Go". Minio is an object storage server compatible with Amazon S3 and licensed under Apache 2.0 License.
Hadoop can be classified as a tool in the "Databases" category, while Minio is grouped under "Cloud Storage".
Hadoop and Minio are both open source tools. Minio with 16.9K GitHub stars and 1.59K forks on GitHub appears to be more popular than Hadoop with 9.27K GitHub stars and 5.78K GitHub forks.
According to the StackShare community, Hadoop has a broader approval, being mentioned in 237 company stacks & 127 developers stacks; compared to Minio, which is listed in 19 company stacks and 12 developer stacks.
What is Hadoop?
What is Minio?
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What are the cons of using Hadoop?
What are the cons of using Minio?
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The MapReduce workflow starts to process experiment data nightly when data of the previous day is copied over from Kafka. At this time, all the raw log requests are transformed into meaningful experiment results and in-depth analysis. To populate experiment data for the dashboard, we have around 50 jobs running to do all the calculations and transforms of data.
in 2009 we open sourced mrjob, which allows any engineer to write a MapReduce job without contending for resources. We’re only limited by the amount of machines in an Amazon data center (which is an issue we’ve rarely encountered).
The massive volume of discovery data that powers Pinterest and enables people to save Pins, create boards and follow other users, is generated through daily Hadoop jobs...
Importing/Exporting data, interpreting results. Possible integration with SAS