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This article will explain in detail the differences between hadoop and mysql. Xiaobian thinks it is quite practical, so share it with you for reference. I hope you can gain something after reading this article.

Hadoop and mysql are not strictly related. Hadoop is a distributed computing framework for processing large amounts of data. MySQL is the database used to store data.

However, in general, databases that work with hadoop are not traditional relational databases such as mysql, because when the amount of data is very large, the processing speed of these databases will be very slow (even if it is clustered). Instead, it is a non-relational database such as hbase. The processing speed will be relatively stable in the process of processing a large amount of data.

What is the difference between hadoop and mysql?

A simple example. MySQL is a sack containing data. Hadoop is a powerful tool for processing big data, including sacks.

Therefore, in reality, there was no direct relationship between them.

What are the differences between hadoop and mysql to share here, I hope the above content can be of some help to everyone, you can learn more knowledge. If you think the article is good, you can share it so that more people can see it.

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