MySQL Database: Reasons for Its Popularity

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Autonomous technologies are now more often used to expand the functionality of the relational database model, develop cloud storage, machine learning and new types of information bases. Autonomous DBs have all the advantages of relational systems, support the same functions, but in addition to this, they are able to use machine learning and artificial intelligence tools to control and increase the speed of response to requests and management efficiency.

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For example, to make queries run faster, self-managing databases perform forecasting france mobile database and check indexes. The improved results are then put to practical use. Remarkably, all these processes occur without administrator intervention. In other words, autonomous databases can continuously improve their performance without human intervention.

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Autonomous technologies free developers from routine work on DBMS maintenance. Unlike relational databases, examples of which we considered in this material, self-managed DBMS eliminate the need to first clarify all the requirements for the infrastructure.
Autonomous databases will allow data storage to be expanded and computing power to be increased as needed. They can be created much faster than relational databases, significantly reducing the time required to develop applications.