MongoDB
Mongodb Primary Key: Example to set _id field with ObjectId()
What is Primary Key in MongoDB? In MongoDB, _id field as the primary key for the collection so...
MongoDB is a document-oriented NoSQL database used for high volume data storage. MongoDB is a database that came into light around the mid-2000s. It comes under the category of a NoSQL database.
This kind of DBMS uses dynamic schemas that mean that you can create records without first defining the structure, such as the fields or the types and their values.
MongoDB allows you to change the structure of records, which we call documents by adding new fields or deleting existing ones.
In this tutorial, you will learn:
MYSQL is a popular and widely used DBMS system. The name is taken from the girl name My, who is the daughter of the co-founder Michael Widenius. The source code of MYSQL is available under the GNU GPL. The project is owned and maintained by Oracle Corporation.
It is an RDBMS (Relational Database Management System) and works primarily on the relational database model. It makes database administration easier and more flexible.
In MySQL, you need to pre-define your database schema based on your requirements and set up rules that help you to govern the relationships between fields in your tables.
Here are the main reasons for using MongoDB:
Here are some important reasons for using MYSQL:
Here, are important features of MongoDB:
Here, are an important feature of MYSQL:
Here, are important differences between MongoDB and MYSQL:
MongoDB | MYSQL |
MongoDB represents data as JSON documents. | MySQL represents data in tables and rows. |
In MongoDB, you don't need to define the schema. Instead, you just drop in documents don't even need to have the same fields. | MySQL requires you to define your tables and columns before you can store anything, and every row in a table must have the same columns. |
MongoDB has a pre-defined structure that can be defined and adhered to, but also, if you need different documents in a collection, it can have different structures. | MySQL uses Structured Query Language (SQL) for database access. You can't change the schema. |
Supported languages are C++, C | Supported languages are C++, C and JavaScript |
Ongoing development is done by MongoDB, Inc. | Constant development is done by the Oracle Corporation. |
MongoDB supports built-in replication, sharding, and auto-elections. | MySQL supports master-slave replication and master replication. |
If an index is not found, every document within a collection must be scanned to select the documents which offer a match to the query statement. | If an index is not defined, then the database engine needs to scan the complete table to find all relevant rows. |
GPL v2/ Commercial license available OD | GNU AGPL v3.0/ Commercial licenses available OD |
If most of your services are cloud based MongoDB is the best suited for you. | If data security is your priority then MYSQL is the best option for you. |
MongoDB places no restrictions on schema design. | MySQL requires you to define your tables and columns before you can store anything. Every row in a table must have the same columns. |
MongoDB uses JavaScript as query language. | MySQL uses the Structured Query Language (SQL). |
MongoDB doesn't support JOIN. | MySQL supports JOIN operations. |
It has the ability to handle large unstructured data | MySQL is quite slow in comparison to MongoDB while dealing with large databases. |
Real-time analytics, content management, internet of things, mobile apps | Structured data with clear schema |
No schema definition required so lesser risk of attack due to design | Risk of SQL injection attacks |
An ideal choice if you have unstructured and/or structured data with the potential for rapid growth. | A great choice if you have structured data and need a traditional relational database. |
Here, are cons/ disadvantages of using MongoDB
Here, cons/drawbacks of using MYSQL
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