MongoDB stands as a pioneering NoSQL database management system, offering a modern alternative to traditional relational databases. At its core, MongoDB operates on a document-oriented model, where data are stored as flexible JSON-like documents within collections. These collections act as containers for related documents, providing scalability and ease of management. A standout feature of MongoDB is its support for Binary JSON (BSON), a binary-encoded serialization of JSON-like documents, enhancing efficiency and performance.

Since its inception, MongoDB has experienced significant growth and evolution, continuously adapting to meet the evolving needs of modern applications. Initially released in 2009, MongoDB has undergone multiple iterations, introducing enhancements and new features to cater to diverse use cases. Its evolution reflects the dynamic nature of the database landscape, with updates focusing on performance optimization, scalability improvements, and enhanced security measures.

MongoDB is favored for its flexible schema design, which enables developers to iterate quickly and accommodate changing data requirements without the need for costly schema migrations. Its document-oriented data model aligns well with the JSON-like data structures commonly used in web and mobile applications, simplifying data storage and retrieval. Additionally, MongoDB’s distributed architecture facilitates horizontal scalability, making it well-suited for handling large volumes of data and high-throughput workloads.

According to the most recent data, MongoDB commands between 6.21% [1] to 6.7% [2] of the total market share in the database management system category. MySQL by Oracle claims a substantial 24.64% share, while Microsoft SQL Server follows with 13.42%; PostgreSQL holds 8.03%, and Microsoft Access secures 7.73%. The collective market share of all NoSQL databases amounts to 7.08%. When examining MongoDB customers industry-wise, the most prominent sectors include information technology and services (26%) [2], computer software (16%), and the internet (5%). Additionally, MongoDB sees usage in other industries, such as financial services, marketing, advertising, higher education, human resources, retail, hospitals, and healthcare, albeit with smaller contributions to its overall usage [2].

MongoDB excels in use cases where flexibility and agility are paramount, such as agile development, rapid prototyping, and iterative product development. Across various industries, MongoDB has gained widespread adoption, with notable usage in fields such as e-commerce, finance, healthcare, and technology. Its adoption rate continues to rise steadily, driven by its flexibility, scalability, and developer-friendly approach. MongoDB’s impact on the database landscape is profound, challenging traditional relational databases and influencing the adoption of NoSQL solutions globally. Its ability to handle diverse data types, support for distributed architectures, and seamless integration with modern development frameworks contribute to its growing influence in the database ecosystem. MongoDB’s support for geospatial queries, text search, and complex data structures makes it a preferred choice for location-based services, search applications, and data-intensive industries such as the Internet of Things (IoT) and healthcare [3].

Looking ahead, MongoDB’s future usage is projected to continue growing as organizations increasingly demand agile, scalable, and high-performance database solutions. As data volume and complexity expand, MongoDB is expected to play a pivotal role in enabling organizations to harness the power of their data for insights and innovation. The rise of cloud computing and microservices architecture further reinforces MongoDB’s position as a preferred database solution, offering flexibility, scalability, and ease of deployment in cloud environments [4].