Why MongoDB is better than my SQL?

Question

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. 23 нояб. 2017 г.

Why should we use MongoDB rather than 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.

How is MongoDB is better than SQL database?

While MongoDB supports JSON querying, a SQL Database uses SQL query processing. The basic characteristics make MongoDB a more dynamic and complex option that is fit for hierarchical data while a SQL Database remains more predefined and suited for other kinds of data storage.

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.

Is MongoDB more efficient than MySQL?

MongoDB speed debate, MongoDB usually comes out as the winner. MongoDB can accept large amounts of unstructured data much faster than MySQL thanks to slave replication and master replication. Depending on the types of data that you collect, you may benefit significantly from this feature.

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