MongoDB vs MySQL

MongoDB vs MySQL: What is the best for you in 2021?

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Before proceeding to the main topic MongoDB vs MySQL, let me answer the most asked questions. That is – 

Do we need a database? 

If yes, what would be best from various databases? 

Well, the simple answer is: Yes, you need a database that supports better data access. There are various benefits of using a database like:

  • large volume data store at a single place,
  • various users can modify and read the data simultaneously,
  • you can find or sort data easily and quickly.

That is why it is always better to use a database. Now, all of you have noticed that there are various databases available in the market. MongoDB and MySQL are the most renowned ones. 

Therefore, it is necessary to know the major key points and differences of MongoDB vs MySQL. Do not worry, I have detailed all the key points that help you to decide which one is better.

Let’s check another blog that enhances your knowledge and abilities to make better decisions.

A quick overview: What are MongoDB and MySQL?

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MongoDB: It is one of the renowned document-oriented databases. MongoDB was created in 2007 but launched in 2010 by MongoDB Inc.

It uses the key-value pairs’ format known as a document store. For MongoDB, the document stores in a BSON file (modified version of JSON files) for supporting JS libraries. Therefore, it is mostly used by JS users.

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MySQL: It is an open-source relational database management system developed by MySQL AB. It uses the storing data’s concepts in tables and rows that classify into the database. 

Moreover, it utilizes SQL (Structured Query Language) for transferring and accessing the data. MySQL uses commands like “UPDATE,” “DELETE,” “SELECT,” and “INSERT”.

Do MongoDB and MySQL share the same functionalities?

NO, but YES some of the functionalities of MongoDB and MySQL are the same. Below, I have mentioned the comparison of MongoDB vs MySQL functionalities that help you know the differences.

ParameterMongoDB MySQL
Auto-Sharding
Auditing
Complex Transactions
Easy for programmers
Field Updates
Data Locality
Typed Data
Dynamic Schema
Rich Data Model

Which is more popular, MongoDB vs MySQL?

Before directly jumping to the comparison of MongoDB vs MySQL, let’s know which is more popular. 

Wait, do I need to check their popularity? I mean why?

Yes, a popularity graph is not only helpful to know which is more in demand but helps you know what people are searching for more among both. This will further lead you to better career options as well as know which is renowned among the users.

mongodb vs mysql

The above graph is taken from Google Trends. And it is quite clear that in the last 5 years, MySQL is in more demand. 

But if we see it overall, then MySQL’s popularity has decreased throughout the years. On the other hand, MongoDB was successful in managing its popularity.

Apart from this, a survey report of 2020 (carried out by Stackoverflow) also showed that MySQL is a more preferable database. But still, a number of professional developers prefer to use MongoDB. Therefore, it is necessary that you must pay attention to MongoDB also.

MongoDB vs MySQL: Differences in Tabular form

MongoDBMySQL
It has a predefined and different structure for different documents.It is not easy or possible to change the schema as MySQL employs Structured Query Language (SQL) for accessing the database. 
MongoDB describes the large data as JSON documents.MySQL interprets data in rows and tables.
MongoDB is developed by MongoDB Inc.The Oracle Corporation has developed the MySQL database.
In case indexing of the document is not found, then each document scan. This helps to get useful documents matched with the query statement.A complete row or table scan (if the document’s index is not defined) to get the desired document.
MongoDB is the best fit for cloud-based services.MySQL is the best choice for data security purposes.
It uses JavaScript as a query language.MySQL uses SQL (Structured Query Language).
It can handle unstructured data with ease.MySQL is slow as compared to MongoDB when it comes to dealing with large databases.
There is a lesser risk of attack as it does not need any schema definition.There is a risk of attacks in SQL.
There is no requirement of schema defining. Rather, you can use drop in the documents of different fields.MySQL needs defining columns and tables before you store anything. Moreover, each row in the table should have the corresponding columns.
Supportive languages are C, C++.Supportive languages are C, C++, and JavaScript.
MongoDB supports sharding,  replication, and auto-elections.MySQL always supports master replication and master-slave replication.
Commercial/GPL v2 licenses are available.Commercial/GNU AGPL v3.0 licenses are available.
MongoDB does not set restrictions over the schema design.In MySQL, each row of the table must have the equivalent columns.
It doesn’t support JOIN.It always supports JOIN.
It uses for real-time analytics, the internet of things, content management, and mobile apps.It uses for structured data that has a clear schema.

What are the similarities and dissimilarities in the features of MongoDB vs MySQL?

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It has been seen that there are various similarities and dissimilarities in the features of MongoDB and MySQL. Some of them are mentioned in the below table of MongoDB vs MySQL. These are listed on some main factors; let’s check them out.

TypeFeaturesMongoDBMySQL
DevelopersMongoDB Inc.Oracle Corporation
DevelopmentOSMultiple platformsMultiple platforms
SaaS, web, cloud
SchemaFlexibleRigid
Query languageVolatile memory file systemSQL
Features and DesignsUnicode
Database conversion
Performance analysis
Rational interface
Data storageJSONColumn and rows
MapReduce
Backup
Development/Creation
Monitoring
Queries
Virtualisation
Integrity modelBASEACID
Consistency
Durability
IntegrityReferential integrity
AtomicityConditional
Isolation
Transactions
Composite keys
Geospatial indexes
IndexingSecondary indexes
Full-text search
Graph support
Horizontal scalabilityConditional
Data migration
Sharding
DistributionCAPCPCA
Replication
Replication modeMaster-SlaveMaster-Slave/Master
Shared nothing architecture
SystemProgramming languagesC++, C, JavaC, C#, Java, Node.js, Python

Is MongoDB better than MySQL?

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When we talk about MongoDB vs MySQL, it is necessary to answer the above-mentioned question – “Is MongoDB better than MySQL?”

See, MySQL is popular for its high performance, ease with data management, flexibility, and data protection. It means that structured data indexing can solve the issues by facilitating interactions, performance, and ensuring robustness.

On the other hand, if you have unstructured data or have a predefined schema that is challenging to handle, just go with MongoDB. Moreover, if you are dealing with a large volume of data and want to store it as a document, MongoDB is going to help you out with this.

So, I can say that both (MongoDB vs MySQL) have their own features and functionalities. And one is best in their own field (i.e., MySQL as RDBMS and MongoDB as NoSQL database). Now, it depends on you for what purpose you want to select any of these or both.

Specific Conditions: When should I use MongoDB vs MySQL?

There are some of the conditions in which you can prefer any of these. And these conditions are:

MongoDBMySQL
For fast & instant data recovery
Want to reduce schema migration price
For cloud-based services
Do not have any Database Administrator
Want to get an in-built sharding solution
For easy & low-maintenance setup
Want to get high performance at the limited budget
For data security purposes
Have fixed schema
Requirement for high transaction rate

Finally check the user overall rating of MongoDB vs MySQL

Also Read

Let’s take some questions asked by you to Techbiason on different platforms.

Does any brand(s) use MongoDB or MySQL?

YES, there are various brands that use these databases to manage their data. I have listed some of them below.

Is there any tool(s) that can integrate with MongoDB vs MySQL?

YES, there are various tools that can easily integrate with these databases. Some of them are listed below.

Are there any alternate(s) of MongoDB vs MySQL?

Yes, there are. If you are looking for another alternative to both, then you can select any of them from the below-mentioned names. 

But I personally recommend you to choose MongoDB or MySQL. The reason you have already got from the above details.

Some alternatives of MongoDB and MySQL are:

  • Couchbase
  • Cassandra
  • PostgreSQL
  • SQLite
  • Oracle
  • Elasticsearch
  • Amazon DynamoDB

Can you provide some of the stats about MongoDB vs MySQL?

Yes, I have provided an image that has some stats about MongoDB and MySQL. It will also provide more clarification about both databases.

What about the salary package if I prefer MongoDB vs MySQL as a career?

Even though MySQL is more popular, it pays you less as compared to MongoDB. In my opinion, the reason for this is that MySQL is losing its popularity. Nowadays, it is not as popular as before.

In contrast, MongoDB has been consistently popular through the years. That means it offers various job opportunities to job seekers consistently with a handsome salary package.


Final Thoughts!

MySQL provides flexibility, reliable data protection, ease in management of data, and high performance. But if you need to handle a large volume of data and want to store it as documents, then MongoDB can help you for the same. 

So, it is up to you for which purpose you want to select them. Above I have detailed all necessary details about both databases (MongoDB vs MySQL). Check them thoroughly to make a useful decision. 

If you want to get an answer to your queries, let me through your email(s) or comment(s). You will help you to get the most relevant answer to your query.

I Hope, this blog (MongoDB vs MySQL) helped you a lot to know each detail about both databases. Stay in touch with Techbiason to get useful blogs.


Frequently Asked Questions

When should I use MongoDB over SQL?

In the following conditions, you can use MongoDB over SQL:

Use MongoDB for storing unstructured data in the format of JSON.
NoSQL databases such as MongoDB uses for saving unstructured data. In contrast to this, SQL databases are useful to store structured data. 
MongoDB database does not help in advanced analytics. Therefore, for this, you can use SQL.

Can I use MongoDB and MySQL together?

Yes, you can. Both databases can be used for a single project. But remember, you have to use the correct tool for a single job. Use MySQL as primary storage whereas, MongoDB is for intermediate/caching storage to get good speed.

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