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Why MongoDB is preferred over SQL?

SQL databases are used to store structured data while NoSQL databases like MongoDB are used to save unstructured data. MongoDB is used to save unstructured data in JSON format. MongoDB does not support advanced analytics and joins like SQL databases support. 18 мая 2020 г.


Why should we use MongoDB rather than SQL?

MongoDB is faster than MySQL due to its ability to handle large amounts of unstructured data when it comes to speed. It uses slave replication, master replication to process vast amounts of unstructured data and offers the freedom to use multiple data types that are better than the rigidity of MySQL.

Is MongoDB better than SQL Server?

Conclusion. MongoDB is a database that is more advanced and capable of handling big data with dynamic schema features. SQL Server is an RDBMS that is used to manage the relational database system and offers end-to-end business data solutions. In the case of unstructured data MongoDB is a good choice.

Why MongoDB is preferred?

MongoDB is built on a scale-out architecture that has become popular with developers of all kinds for developing scalable applications with evolving data schemas. As a document database, MongoDB makes it easy for developers to store structured or unstructured data. It uses a JSON-like format to store documents.

Why MongoDB is better than other databases?

MongoDB is almost 100 times faster than traditional database system like RDBMS, which is slower in comparison with the NoSQL databases. There is no support for complex joins in MongoDB, but RDBMS supports complex joins, which can be difficult to understand and take too much time to execute.

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