| Number | Base of difference | MySQL | NoSQL |
| 1 | Nature of Database | Well when we say about the nature of MySQL it is relational database in nature. | On the other hand NoSQL is non-relational database in nature. |
| 2 | Design Model | When we say about the design model of MySQL it based on the concept of "Table". | Well Model is based on the "document". |
| 3 | Schema | When we say about the Schema in MySQL, it not so easily scalable with rigid schema restrictions. | When we say about the schema, it can be easily scaled with its dynamic schema nature. |
| 4 | Flexibility | Well when we say about the flexibility of MySQL, it is not flexible design wise. When we try to add a new coloumn or field insertion will affects the whole designs, so not flexible as compare to NoSQL. | Well when we say about the flexibility, here we can add new column or fileds without not worry about the design. |
| 5 | Standard | Well when we say about the standard, MySQL uses a standard query language and that is called SQL(Struture Query Language). | Well on other side NoSQL-like databases miss a standard query language. |
| 6 | Scalable | As we aware that MYSQL is relational in nature which can be tough task to scale a big data. | When we say about the scalability in NoSQL, this can be easily scalable big data when we compared this with the relational database. |
| 7 | Database Model | When we say the database model of MySQL, we need to place this before the creation of it in MySQL or we can say database should be predefine. | When we say about the NoSQL, there is not need to develop and exact database model. |
| 8 | Community | Well MySQL is older then the NoSQL and it s most popular so community of MySQL is vast and most of expert inlcuded in this. | Well community of NoSQL is growing rapidly and smaller as compared to MySQL |
| 9 | Huge Data | If we have a huge data in database then we need to require optimization of queries as performance is not good as compare to NoSQL. | NoSQL databases like MongoDB are good at performance even with huge datasets. |
| 10 | Database Name | MySQL | MongoDB, Couch DB etc. |
| 11 | Reporting Tool | MySQL provides a large range of reporting tools to aid application validity | When we say about the NoSQL, here databases lack in analytical and performance testing reporting tools. |
| 12 | Uses | Best for Small to middle level of database. | Well, NoSQL database is best for big data and real-time web applications. And these databases surge in popularity in early 21st century. And top companies that using this are Facebook, Google and Amazon. |
| | |
|
|