04 mins read

MongoDB Lets Developers Say No To Structural Databases.



Posted: Dec 26, 2023


When it comes to database systems, developers have a lot of options to choose from. There are traditional relational database systems, such as MySQL and Microsoft SQL Server, as well as newer NoSQL database systems, such as MongoDB and Cassandra.

Each system has its advantages and disadvantages, so it can be difficult to decide which is the best system for a particular project. In this article, we will compare MongoDB and structural databases, and help developers decide which system is best for them.

Understanding MongoDB

MongoDB is a NoSQL database that offers more flexibility than traditional structural databases. It was designed to handle the ever-changing needs of modern applications, and lets developers say “no” to over-complicated data models.

MongoDB is document-oriented, meaning that data is stored in JSON-like documents. This makes it easy to work with and Query, and also means that the database can adapt to changes in the data structure without having to perform a migration.

For developers who want more flexibility and control over their data, MongoDB is a perfect choice.

blog Image

Advantages of Structural Database

Structural databases have been around for a long time and good reason. They offer several advantages that can be extremely valuable for certain types of projects.

Chief among these advantages is the ability to quickly and easily model complex data structures. This is essential for projects that require a high level of flexibility and customizability.

Structural databases also tend to be faster and more efficient than MongoDB, especially when it comes to complex queries. This can be a critical consideration for projects that require a high level of performance.

Disadvantages of Structural Database

A structural database's inability to scale as necessary is one of the key disadvantages of employing one. Your developers can be occupied all the time with data structure optimization to guarantee the database’s performance. This could be a serious issue for your project if regular scaling is necessary.

Another less-than-ideal feature of structural databases is their rigidity. Once data has been set, it cannot be easily changed or manipulated to fit other use cases. For example, an ERP system created in an SQL server may suffer if it needs to encompass future products or services and needs added flexibility in its design.

Structural databases also lack the option for extensibility, which means the entire model must be rewritten for new structures to be included. This is especially problematic when working with big (and growing) datasets that require massive storage and accessibility. Lastly, these databases are prone to increased complexity as they get bigger and bigger, which can lead to longer development times and increased costs in the long run.

Advantages of MongoDB

MongoDB is an attractive option for many developers due to its flexibility. It allows for faster access to data than traditional databases, meaning that developers can quickly query information from documents.

Additionally, MongoDB offers scalability, allowing users to add or remove documents with ease. Furthermore, since MongoDB is based on JSON files, it provides a much more straightforward structure for data storage which makes it easier to understand and manipulate.

It's also worth noting that MongoDB allows users to make changes to the structure of their application without having to change their database scheme or the underlying documents and data that are stored in them. This is a huge plus as developers can add new features and improve existing ones without worrying about structural complexities. Finally, MongoDB provides built-in security features such as authentication and authorization, helping to protect applications from unauthorized access and manipulation.

blog Image

Disadvantages of MongoDB

Before we get too deep into the benefits of MongoDB vs Structural Databases, let’s consider a few potential disadvantages of the former. Firstly, MongoDB works best when all queries are perfectly structured, so it doesn’t always handle irregular data well. Since most databases could benefit from having more flexible schemas than rigid ones, this could be an issue.

In addition, MongoDB also lacks some features that are present in other databases—such as aggregate functions and triggers—so if you rely on these features for your project then you might have to look elsewhere.

Finally, performance can be a problem in MongoDB when used incorrectly or not optimized properly. Operational latency can be quite slow if queries aren’t carefully constructed, so it pays to make sure you know what you’re doing before diving in.

Comparing MongoDB vs Structural Database

Comparing MongoDB with a structural database can be difficult, as they have different strengths and weaknesses. MongoDB is excellent for working with large datasets, quickly reading and writing data, and scaling up applications. Structural databases are great for structured data and provide stringent security while maintaining reliability.

When it comes to a data structure, MongoDB is much more flexible than a structural database. MongoDB allows developers to store information without having to predefine the structure of the data beforehand. This makes it perfect for working with non-relational datasets and for when you don’t know how much data will be stored ahead of time. A structural database, on the other hand, requires you to define a schema which must be followed when writing data into the database.

MongoDB also offers a wide range of query operators that can be used to find documents in a collection. This makes searching through complex structured and non-structured data much faster than with traditional databases. Meanwhile, structural databases are only able to query structured datasets, making them less suitable for working with non-relational datasets.


At the end of the day, though, both options offer certain advantages. MongoDB enables developers to be more agile by eliminating the need for complex structures and allowing data to change quickly. While structural databases provide safe storage for mission-critical data with powerful query tools. Ultimately, it all depends on the type of project you’re working on and what features you choose to focus on. If you don’t agree with our conclusion, please tell us your view in the comment section.

Related Blogs

Cybersecurity - How To Manage Your Digital Identity?

Aug 29, 2023
03 mins read

In the wild, wild west of the digital frontier, wrangling your business’s digital identity is like taming a band of unpredictable cyber outlaws. Picture yourself as the digital sheriff; your mission is to maintain law and order in this vast online town.

Learn More

Create Virtual Machines Using Microsoft Azure, Google Cloud, Oracle Cloud And AWS

Jul 25, 2023
04 mins read

In today’s cloud computing, virtual machines are gaining importance since they provide enterprises of all sizes with flexibility, scalability, and affordability. Several well-known cloud service providers stand out for their robust architecture and extensive selection of choices for creating virtual machines.

Learn More

Industrial IoT - How Car Manufacturers Use IoT In Their Assembly Lines?

Sep 26, 2023
03 mins read

IIoT in the automotive world means connecting every component and device, turning them into data sources that communicate in real-time. Sensors embedded in machines monitor their health, while smart devices oversee quality control. The result is a seamless blend of human expertise and machine precision.

Learn More

Is Outsourcing A Viable Option In 2023?

Sep 5, 2023
03 mins read

Outsourcing is a strategic business practice in which organizations delegate specific tasks, functions, or processes to external third-party service providers rather than handling them in-house. This approach offers numerous advantages, including cost savings, access to specialized skills, and increased operational efficiency.

Learn More

Agile IT Product Development

May 11, 2023
06 mins read

Agile IT Product Development has become a buzzword in the software development industry in recent years, as businesses strive to keep up with the fast pace of technological advancements and changing market demands. In essence, Agile is a methodology that emphasizes iterative and collaborative development, continuous improvement, and customer feedback.

Learn More

Flutter 2023 And Beyond

Oct 10, 2023
05 mins read

In 2023, Flutter stands at the forefront of the mobile app development landscape, continuing its remarkable journey of growth and innovation. This open-source framework, developed by Google, has evolved from its initial release into a versatile powerhouse, offering an extensive set of tools and capabilities.

Learn More

MongoDB Lets Developers Say No To Structural Databases.

Dec 26, 2023
04 mins read

When it comes to database systems, developers have a lot of options to choose from. There are traditional relational database systems, such as MySQL and Microsoft SQL Server, as well as newer NoSQL database systems, such as MongoDB and Cassandra.

Learn More

Advantages Of Using SDN & SDWAN

Dec 19, 2023
04 mins read

The network is the backbone of any business. It is responsible for connecting people and devices, and it enables the flow of information and resources. A well-designed network can be a powerful tool that helps businesses run more efficiently and effectively.

Learn More

Anonymous Feedback And Survey System

Oct 3, 2023
04 mins read

Integrating an anonymous feedback and survey system into your company’s operations is a strategic move towards nurturing a culture of open communication, continuous improvement, and employee engagement. In today’s dynamic business landscape, understanding the perspectives, concerns, and ideas of your workforce is paramount.

Learn More

AI In Data Security

Mar 13, 2023
03 mins read

Gone are the days when locking doors and shredding documents were enough to protect sensitive information. With the rapid advancements in technology, a new player has emerged on the scene: Artificial Intelligence (AI).

Learn More

How AI & ML Is Transforming The Farming Industry?

Jun 20, 2023
04 mins read

The farming industry is poised for a remarkable transformation as it embraces the best technologies available. From precision agriculture and resource optimization to sustainable practices and data-driven decision-making, these technologies have the potential to revolutionize traditional farming methods. By leveraging innovation, farmers can unlock a multitude of benefits, including increased productivity, optimized resource management, enhanced sustainability, and data-driven insights.

Learn More

Evolution Of Testing From Manual To Automation

Jun 13, 2023
05 mins read

Testing is a crucial process in software development that involves evaluating the quality, functionality, and performance of a software system. It is performed to identify defects, errors, or issues and ensure that the software meets the desired requirements and performs as expected.

Learn More

Let's talk.

we'll not use your contact details for any marketing or advertising purposes and it is collected purely for our internal records only. By submitting this form, you agree to your personal data being processed by Ticvic Technologies. You can unsubscribe at any time. Please read our Terms & Privacy notice for more information.

Need a Consultation!

Need help in turning your idea into a successful product? Talk to us. We can help you build your product quickly and ensure it can scale infinitely.