Differences between SQL Server database creation and MongoDB databases

 

Here are a few of the main differences:

Schema:

In SQL Server, you need to define a schema for your database before you can create tables and insert data. The schema defines the structure of the data and specifies the data types, constraints, and relationships between tables. In MongoDB, you do not need to define a schema before inserting data. MongoDB is a schema less database, which means it can store data in any format without pre defining a structure.

Tables and Collections:

In SQL Server, data is stored in tables, which are made up of rows and columns. In MongoDB, data is stored in collections, which are made up of JSON-like documents. Collections are similar to tables in that they can contain multiple documents with similar attributes, but they do not enforce a strict schema.

Query Language:

In SQL Server, you use the Structured Query Language (SQL) to query and manipulate data. SQL is a declarative language that uses a set of predefined commands to interact with the database. In MongoDB, you use a document-based query language that allows you to query and manipulate data using JSON-like syntax. MongoDB's query language is more flexible and powerful than SQL, allowing for more complex queries and aggregations.

Scalability:

SQL Server can scale vertically, meaning you can add more hardware resources (CPU, memory, etc.) to a single server to improve performance. MongoDB can scale horizontally, meaning you can add more servers to a cluster to handle increased data volume and traffic.

In summary, SQL Server and MongoDB differ in how they handle database creation, schema definition, data storage, query language, and scalability. SQL Server requires you to define a schema before inserting data and stores data in tables, while MongoDB does not require a schema and stores data in collections of JSON-like documents. SQL Server uses SQL as a query language, while MongoDB uses a document-based query language. Finally, SQL Server scales vertically, while MongoDB scales horizontally.