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This makes it easy to add and edit data/documents at any time

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發表於 18:40:56 | 顯示全部樓層 |閱讀模式
本帖最後由 rahmanfayad681 於  18:43 編輯

Unlike MySQL, non-relational databases can store unstructured data such as user logs, sessions, images, videos, chats and also data from IoT devices. What makes MongoDB attractive? MongoDB can support the following: Flexibility: First, the document structure is more consistent with developers' code in their programming languages ​​which is clear and structured in key-value pairs.


In a relational database, this would include the need to restructure the database Supports a wide range of queries: fields, expressions, range queries, JavaScript functions, and more Speed: Faster time, because related data that will be stored across multiple tables in Azerbaijan Email List a MySQL database is stored in the same document in MongoDB Schemas:



There are no strict schemas, you are allowed to create a document first before defining the structure of the document, which makes it very useful for companies that are in the start-up phase and are not sure what their database should look like As you can see, MongoDB's features make it more suitable for those who deal with massive amounts of data What are the downsides of MongoDB.
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