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Why is Mongo DB faster than relational database?

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Experienced Full Stack Developer and Instructor.

MongoDB uses a flexible, document-oriented data model (JSON-like BSON format). Data is stored as key-value pairs in documents, which are self-contained units of data. In contrast, relational databases use structured tables with rows and columns, which often require joining tables to retrieve related...
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MongoDB uses a flexible, document-oriented data model (JSON-like BSON format). Data is stored as key-value pairs in documents, which are self-contained units of data.

In contrast, relational databases use structured tables with rows and columns, which often require joining tables to retrieve related data. Joins can be computationally expensive and slow.

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Experienced Full Stack Developer and Instructor.

MongoDB stores data in JSON-like BSON documents, which are self-contained and can include arrays and nested structures. Relational databases use structured tables with rows and columns, often requiring joins to combine data from multiple tables. MongoDB is schema-less, allowing documents in the...
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MongoDB stores data in JSON-like BSON documents, which are self-contained and can include arrays and nested structures.

Relational databases use structured tables with rows and columns, often requiring joins to combine data from multiple tables.

 

 

MongoDB is schema-less, allowing documents in the same collection to have different structures.

 

Relational databases enforce strict schemas, and schema modifications (e.g., adding columns) can lock tables and slow down performance.

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