What is major difference between SQL and MongoDB?

Question

The major difference between MongoDB and SQL Databases is the way they handle data. In SQL databases, data is stored in form of traditional 2 dimensional row-column structure while in MongoDB rich data document model is followed, which allows storage of any type of data.

What is the difference between SQL and MongoDB?

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.

What 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.

What is the basic difference between MongoDB and MySQL?

MongoDB is a document-based non-relational database management system. It's also called an object-based system. It was designed to supplant the MySQL structure as an easier way to work with data. On the other hand, MySQL is a table-based system (or open-source relational database).

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.

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