Feature image MySQL and 101_ A Guide on Key Differences

MySQL and NoSQL 101:
A Guide on Key Differences

By Brian Laleye · November 10, 2022 · 7 min read

A database is one of the logical collections of your data that can be used to store and manipulate whenever required from the computer system.

Nowadays, every organization needs a separate database for storing its everyday transactional data and company data.

We need a path to store all this information in a collected manner for processing and interpretation. Comes there which provides a much more efficient and organised way to store and work with information for a long period.

It provides storage of data vertically in a systematic manner and makes it to use at later date Making all web applications a very critical path.

To store all data and manage all databases we need a database management system which provides an intermediary between end users and the database itself.

When it comes to database management systems there are two types of it: 

  • MySQL database
  • Non-Relational databases or NoSQL Databases

MySQL Database

MySQL is software that provides project development involvement and is available under the terms of a general public licence. MySQL also comes under a variety of agreements related to proprietary rights.

MySQL is relational and all data is stored in different tables and relations are established between their primary keys and other keys. 

It is very fast software and very easy to use that is being utilised by many big and small scale businesses. Many reasons for the popularity of this database like a very powerful program which has its right by handling a lot of sets of functionality.

Properties of MySQL Databases: 

  • Relational databases are usually tabular in format.

  • They are very well-organised and the data stored in them are well-structured.

  • They have a strict and rigid schema to work on.

  • You can use them to perform database queries.


  • It is really known to perform great transactional operations.

  • However when there is a large volume set then you can observe slowness in performance. The reason behind it is that when tables are stored in a normalised format then changes in data required a lot of load on the server can affect the performance.

NoSQL Database

It is a Database that does not use a relational data model. NoSQL databases started controlling the momentum in the late 1990s when the Internet started booming.

Non-relational databases do not store data in a tabular manner similar to SQL databases. 

Most of the NoSQL databases are run by consistency which means that database changes are transferred to all nodes within milliseconds and all queries of data might return their updated data immediately.

It is generally used to handle data coming at very high velocity and it gives both read and write scalability to data. 

NoSQL database is managed with all types of data and it arrives from many locations. It generally supports simple transactions in its databases. 

In Organisation it is used for storing and fetching data which are generally very large in amount. It supports the query language and provides very high performance.  

The database is based on graphs such as Neo is most often used for making Complex models network such as those which are used in social media and IT Infrastructures.

With graph databases, you can follow the path through network modeling instead of making rows and columns.  NoSQL database design for instructed data where you can document orient and column orient your whole data. 

In this scenario, data is stored and not partitioned so performing any operation is going to be very faster in the NoSQL database compared to the SQL database. 

The popular NoSQL databases are MongoDB, Redis and HB base

Properties of NoSQL Database

  • The relational data model is standard in use.

  • If you want to work with the fixed schema of data, you can use it.

  • For the less duplicated property data, it is very useful for it.

  • Which also has very faster update and insert options

Difference between MySQL and SQL databases



MySQL is usually a relational database in nature.

NoSQL is a non-relation database in nature.

Its model is based on the concept of table or tableau.

Its model is based on the concept of document storage.

In MySQL scalability of data is a tough task.

The scalability of big data is very easy as compared to the relational database.

It required the detailed database model.

There is no need for a detailed database model.

There is a vast and expert community available for MySQL.

Which community is growing rapidly and smaller as compared to MySQL.

It is standard to use.

It lacks standard query language.

MySQL schema is rigid in nature.

It contains a Dynamic schema.

It no so flexible design wise.

New columns or fields can be inserted.


It is seen that no SQL databases are becoming a major part of most businesses. We are loaded with multiple advantages like performance with big data and scalability makes it the very obvious choice.

Another attitude like its lower post and open-source features makes it an appealing option for many companies to include it in the database. Features Festival stealer very new technology without any standard that MySQL offer.

MySQL on the other hand still provides the major chunk of the market and it is the standard language that provides access and modification in every database. Having up big community has well-defined instructions and problem section Areas where you can provide solutions to every problem.

One of the main advantages of MySQL database is that it provides fast transactions to customers and has very less storage requirements for usage.

At RestApp, we’re building a Data Activation Platform for modern data teams with our large built-in library of connectors to databases, including MySQL, data warehouses and business apps.

We have designed our next-gen data modeling editor to be intuitive and easy to use.

If you’re interested in starting with connecting all your favorite tools, check out the RestApp website or try it for free with a sample dataset.

Discover the next-gen end-to-end data pipeline platform with our built-in No Code SQL, Python and NoSQL functions. Data modeling has never been easier and safer thanks to the No Code revolution, so you can simply create your data pipelines with drag-and-drop functions and stop wasting your time by coding what can now be done in minutes! 

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Brian Laleye
Brian Laleye
Brian is the co-founder of RestApp. He is a technology evangelist and passionate about innovation. He has an extensive experience focusing on modern data stack.

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