What is the difference between MongoDB and other traditional databases?

MongoDB is a NoSQL database, which differs from traditional relational databases such as MySQL, Oracle, and Microsoft SQL Server.

The main difference between MongoDB and traditional databases is that MongoDB stores data in documents instead of tables. Documents are collections of key-value pairs, similar to JSON objects. This allows MongoDB to store complex hierarchical data with ease. For example, a MongoDB document might look like this:

{
“name”: “John Smith”,
“age”: 35,
“address”: {
“street”: “123 Main St.”,
“city”: “New York”,
“state”: “NY”,
“zip”: 10001
},
“hobbies”: [“hiking”, “biking”, “swimming”]
}

Traditional databases typically require the data to be structured in a tabular format. This means that the data must be divided into rows and columns, which limits the types of data that can be stored. In contrast, MongoDB’s document-based structure allows for more flexibility in terms of data types, making it easier to store and query complex data.

What is the difference between Oracle Database and SQL?

Oracle Database is an enterprise-level relational database management system (RDBMS) developed by Oracle Corporation. It is used to store, manage, and retrieve data for applications. Oracle Database is a powerful and feature-rich database platform that enables organizations to deploy and manage data-driven applications, including online transaction processing (OLTP), data warehousing (DW), and analytics.

SQL (Structured Query Language) is a language used to interact with databases. It is used to create, modify, and query databases. It is used to retrieve, add, delete, and update data stored in the database. For example, an SQL statement can be used to create a table, insert data into the table, update data in the table, or delete data from the table.