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The difference between mongodb and mysql
The differences between mongodb and mysql: 1. Data model; 2. Query language; 3. Scalability and performance; 4. Reliability. This topic provides you with articles, downloads, and course content related to the differences between mongodb and mysql for free download and experience.
The difference between mongodb and mysqlThe difference between mongodb and mysql: 1. Data model, MongoDB is a document-oriented database, and MySQL is a relational database; 2. Query language, MongoDB uses the MongoDB query language, and MySQL is a language similar to JSON query; 3. Scalability and performance , MongoDB uses a horizontally scalable architecture, and MySQL uses a vertically scalable architecture; 4. Reliability, MongoDB does not support traditional transaction processing, and MySQL is more reliable in complex transaction processing and data integrity.
What is the difference between mongodb and mysqlThe difference between MongoDB and MySQL: 1. MySQL is a traditional relational database, while MongoDB is a non-relational database; 2. MySQL has different storage methods on different engines, while MongoDB’s storage method is "virtual memory + persistence" ;3. MySQL uses traditional sql statements and so on.
What is the difference between MongoDB and MySQLThe difference between MongoDB and MySQL: 1. MySQL is a traditional relational database, while MongoDB is a non-relational database; 2. MySQL has different storage methods on different engines, while MongoDB’s storage method is "virtual memory + persistence" ;3. MySQL uses traditional sql statements and so on.
MySQL vs. MongoDB: Choice for High Concurrency PerformanceMySQL and MongoDB: Choice in terms of high concurrency performance Introduction: In today's Internet era, high concurrency performance is one of the core requirements of many applications. As the data storage and management core of the application, the database also bears the important responsibility of high concurrency performance. When choosing a database, MySQL and MongoDB, as two high-profile open source databases, are widely used in various application scenarios. This article will analyze the differences between MySQL and MongoDB from the perspective of high concurrency performance, and use code examples to
How to be compatible with MySQL + ES + MongoDB to achieve deep paging of hundreds of millions of data?You may encounter the above questions during interviews or in preparation for interviews. Most of the answers are basically to divide databases into tables to build indexes. This is a very standard correct answer, but the reality is always very skinny, so the interview The official will usually ask you, now the construction period is insufficient and the personnel are insufficient, how to achieve deep paging?
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