Difference: 1. MySQL is a relational database, and NoSQL is non-relational. 2. MySQL’s strict mode restrictions are not easy to expand, while NoSQL is easy to expand. 3. MySQL requires a detailed database model before creating a database, which is not required in NoSQL. 4. MySQL provides a large number of reporting tools, but nosql does not. 5. Compared with MySQL, NoSQL provides a more flexible design. 6. The standard language used in MySQL is SQL, while NoSQL lacks a standard query language.
The operating environment of this tutorial: windows7 system, mysql8 version, Dell G3 computer.
MySQL and NoSQL are both popular database choices on the market. So what is the difference between NoSQL database and MySQL database? The following article will introduce to you the differences between NoSQL databases and MySQL databases. I hope it will be helpful to you.
The difference between MySQL and NoSQL:
1. MySQL is a relational database based on table design, while NoSQL is essentially a non-relational document-based design. .
2. MySQL’s strict schema restrictions are not easy to expand, while NoSQL can be easily expanded through dynamic schema features.
3. A detailed database model is required before creating a database in MySQL, but detailed modeling is not required in the case of NoSQL database types.
4. MySQL provides a large number of reporting tools to help applications be effective, while NoSQL databases lack reporting tools for analysis and performance testing.
5. MySQL is a relational database and its design constraints are less flexible; while NoSQL is essentially non-relational and provides a more flexible design compared to MySQL.
6. The standard language used in MySQL is SQL; while NoSQL lacks a standard query language.
Comparison of NoSQL and relational database design concepts
Tables in relational databases store some formatted data structures, and the composition of each tuple field is Similarly, even if not every tuple requires all fields, the database will allocate all fields to each tuple. Such a structure can facilitate operations such as connections between tables, but from another perspective it It is also a factor in the performance bottleneck of relational databases. Non-relational databases store key-value pairs, and their structure is not fixed. Each tuple can have different fields. Each tuple can add some of its own key-value pairs as needed, so it is not limited to a fixed structure. The structure can reduce some time and space overhead.
NOSQL advantages and disadvantages
Advantages:
They can handle extremely large amounts of data.
They run on clusters of cheap PC servers.
They break performance bottlenecks.
No too many operations.
Disadvantages:
But some admit that without formal official support, it can be terrible if something goes wrong, at least that's how many managers see it.
In addition, nosql has not formed a certain standard, various products are emerging one after another, and the internal chaos is internal. Various projects still need time to be tested
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