When should I use MongoDB instead of SQL?

Question

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.

When should I use MongoDB instead of MySQL?

MongoDB uses JavaScript as query language while MySQL uses the Structured Query Language (SQL). MongoDB is an ideal choice if you have unstructured and/or structured data with the potential for rapid growth while MYSQL is a great choice if you have structured data and need a traditional relational database.

Which is better SQL or MongoDB?

MongoDB is more fast and scalable in comparison to the SQL server. MongoDB doesn't support JOIN and Global transactions but the SQL server supports it. MongoDB supports a big amount of data but the MS SQL server doesn't. MongoDB support Agile practices but MS SQL server doesn't support it.

Can MongoDB replace SQL?

Accenture and more. Can MongoDB replace MySQL? MySQL, MS SQL Oracle, and Server are nearly synonymous with RDBMS, but MongoDB is a cross-platform document-oriented and NoSQL database. At times, it can be a wise decision to replace MySQL with MongoDB.

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