Digital transformation is revamping every industry, and most organizations are doing their best to deliver their clients beyond everyone’s expectations. However, the journey of digital transformation is not without its challenges.
In the digital world, there are no barriers to data, making it challenging to manage the enormous amount of data that is constantly being generated. Managing a large volume of data generated on the database can be challenging for firms. This is where database platforms like MongoDB and RDBMS come into play.
According to the Stack Overflow Developers survey, Mongo DB was the most favored database for developers in the last four years. Another report from 3T Software Labs states that MongoDB users tried at least two different technologies, either relational or non-relational, on average in 2017. In contrast, in 2020, it changed over three per average user.
Echoing similar sentiments for RDBMS, Gartner revealed that more than 50% of commercial existing proprietary RDBMS instances would be planning to convert in 2022. According to a separate analysis by Dell, 78% of users reported operating data on the RDBMS, and approximately 70% of respondents are running more than 100 databases in MongoDB.
Selecting the right solution for your organization can be challenging, as multiple database solutions are currently available. MongoDB and RDBMS are among the most established leading names in the database platform. Both are in their own space, but which database best suits your application? Our Veritis team will guide you in deciding the right database for your projects.
Useful Link: Serverless Vs Containers: Comparison Between Top Two Cloud Services
Before digging deep into the significant differences, we will introduce you to MongoDB and RDBMS.
MongoDB
Developed by 10gen in 2007, the term MongoDB was coined by Kevin Ryan, Eliot Horowitz, and Dwight Merriman. MongoDB is a robust, document-oriented database designed for ease of application development, scaling, and maintenance, supporting JSON-like documents and collections. It has witnessed exponential growth in the market and is the world’s fifth most popular database.
MongoDB is also known as a non-SQL (NoSQL) database. It stores data in the document format model without tables, schemas, rows, and columns. Even with heavy data loads, the document-oriented database is designed to be fast, scalable, and flexible.
Database management offers efficiency, reliability, and strong security. MongoDB supports various programming languages, including C++, JavaScript, Python, PHP, Scala, Ruby, and more to the list and operating systems like Linux, Windows, and macOS.
MongoDB is a backend data store for highly reputed companies like Twitter, Facebook, Google, IBM, Forbes, Citrix, T-Mobile, Zendesk, Sony, HTC, and many more. Some websites that use MongoDB are The New York Times, eBay, SourceForge, Craigslist, etc. According to reports by Siftery, 4,000+ organizations are using the NoSQL database for their projects.
The NoSQL database challenger MongoDB is highly popular among developers. It has 800 million monthly active users, handles 3 billion daily requests from the application, and has more than 6.5 million downloads.
Developers widely prefer MongoDB because of its ability to scale and handle projects of all sizes, making it an ideal choice for companies worldwide. From large banking systems to weekend-long hackathon projects, MongoDB’s non-relational database architecture is a versatile solution for organizations across industries.
Enterprise data management consulting enables organizations to design and implement scalable cloud solutions across platforms such as AWS, Azure, and Google Cloud, thereby empowering global operations in over 80 regions.
Useful Link: Which Cloud has Better Private Connectivity: AWS or Azure or GCP?
RDBMS
RDBMS was first defined by Edgar F. Codd in 1970, and it is one of the most reliable database service platforms used worldwide. A relational database management system (RDBMS) is a regular type of database that stores and provides access to data in a tabular format, such as rows and columns. RDBMS uses Structured Query Language (SQL) to access the database.
Modern database systems like IBM DB2, ORACLE, Microsoft Access, SQL, My-SQL, and MS SQL servers are all established based on the principles of RDBMS. The most widely used cloud-based databases are – SQL Azure, Google Cloud SQL, IBM Db2 on Cloud, Oracle Cloud, and AWS Relational Database Service.
The relational database includes functions like data accuracy, integrity, security, and consistency. It is totally different when file storage is used in a DBMS. RDBMS offers users data accuracy, easy access to data, data integrity, flexibility, and high security.
It serves as an interface between databases, users, and applications, managing administrative functions for access, performance, and data storage. RDBMS permits users to create, read, update, and delete operations that can be performed with advanced, consistent data treatment.
RDBMS usually provides metadata collections and data dictionaries to handle data. RDBMS most commonly uses Structured Query Language (SQL) to perform data-interacting tasks like creating a table and inserting data, modifying and updating data, filtering and querying data, and deleting tables or data.
Useful Link: A Guide to DevOps Implementation on Google Cloud
Comparison Between MongoDB and RDBMS
| Details | MongoDB | RDBMS |
| Data Storage | Stores data in a document-based with no rows and columns | Stores data in a row-based table structure with fixed rows and columns |
| History | Developed in 2007 | Developed in 1970 |
| Hierarchical | It has inbuilt support for hierarchical data storage | It doesn’t fit hierarchical data storage |
| Query Language | Database vendor MongoDB supports BSON query language | Database vendor RDBMS supports SQL query language |
| Schema | It has a schema-less database because it doesn’t require a predefined concept of relationships. | It usually follows the schema structure |
| Security | It provides security to the database | It provides robust security to the database |
| Foreign Key | It doesn’t work with the concept of primary key -foreign key relationship | It supports foreign keys |
| Scalability | MongoDB databases are horizontally scalable | Relational databases are vertically scalable |
| Principle | It follows ACID (Atomicity, Consistency, Isolation, and Durability) properties. | It follows the CAP approach (Consistency, Availability, and Partition tolerance) |
| Performance | RDBMS performs slowly for bulk data when compared with NoSQL database | MongoDB performs 100 times quicker than the traditional database |
| Joins | No complex joins are used in the database | It requires complex joins |
| Trigger | Triggers are not supported in NoSQL | Triggers are supported in a relational database |
| JavaScript | MongoDB allows JavaScript client to query | RDBMS is not suggested to access databases for JavaScript clients |
Case Study: Data Center Migration, Server Builds, and IT Infrastructure Support for Banking Industry
A prominent banking client engaged Veritis to support a data center migration and revamp its IT infrastructure, which included modernizing database environments for better performance and scalability. The project involved evaluating legacy RDBMS systems and integrating cloud-ready solutions to support mission-critical applications. Veritis helped the client balance structured relational databases with scalable, modern data architectures where appropriate, ensuring compliance, performance optimization, and most importantly, future readiness. This use case highlights the importance of selecting the appropriate database model, whether an RDBMS or a NoSQL database like MongoDB, based on operational requirements and scalability objectives, to achieve a secure and future-ready solution.
The complete case study is here: Data Center Migration, Server Builds, and IT Infrastructure Support for Banking Industry.
Conclusion
MongoDB is the modern leading data platform. It has more than 18,000 clients across 100 nations and over 110 million downloaders. IT developers mostly prefer MongoDB, as it is the most widely deployed NoSQL database.
A relational database is well-suited for enterprises that deal with structured and relational data. An SQL database is great for websites that generate high traffic for their applications. It offers quick processing, specialized web functions, data insertions, and robust reality.
I hope this blog post provided you with sufficient information on MongoDB and RDBMS databases. Ultimately, you must decide what best suits your organization.
With multiple database options available in the current market, selecting the best one is a challenging task. This is where Veritis comes in. Veritis is an Enterprise Data Management Services partnering with Fortune 500 firms for over a decade. We value every client based on their individual needs, and our primary goal is to provide the best solutions for our customers, offering world-class experiences and cost-effective solutions.
Schedule A Call With Cloud Consult
Additional Resources: