What is the difference between mongodb and mysql

The difference between MongoDB and MySQL

Overview

MongoDB and MySQL are one of the most popular database management systems, but they belong to different data model types. MongoDB is a document database, while MySQL is a relational database. This leads to their key differences in data structures, query languages, and scalability.

Data structure

• MongoDB: Stores documents, which contain a collection of key-value pairs. Documents can be nested, allowing complex data structures to be stored.
• MySQL: Stores data in a table, and the table consists of rows and columns. Tables have schemas that define data types and constraints.

Query Language

• MongoDB: Use JavaScript Object Query (JSON) as the query language. JSON is a flexible language that is easy to read and write, supporting complex queries.
• MySQL: Use Structured Query Language (SQL) as the query language. SQL is a standardized language with powerful features but a steep learning curve.

Scalability

• MongoDB: is a horizontally scalable database that can easily handle larger datasets by adding replicas or shards.
• MySQL: It is essentially a vertically scalable database that requires upgrading hardware to handle larger data sets.

Other key differences

• Data Types: MongoDB supports nesting various data types in documents, while MySQL supports only specific data types.
• Consistency: MySQL provides strong consistency, which means that the data is always kept in sync across all replicas. MongoDB provides final consistency, which means that the data will eventually be synchronized on all replicas.
• Transactions: MySQL supports transactions, allowing a set of operations to be executed atomically. MongoDB does not support traditional transactions, but provides its own transaction model called MongoDB transactions.

Which one to choose

Both MongoDB and MySQL are suitable for different use cases. MongoDB is suitable for applications that need to store and retrieve complex data structures, while MySQL is suitable for applications that require relational data.

• Select MongoDB:

  • Requires storage and retrieval of complex data structures
  • Need a flexible data model
  • Horizontal scalability is required

• Select MySQL:

  • Related data is required
  • Need strong consistency
  • Need transaction support

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