MongoDB functions as a document database designed for constructing scalable and highly available internet applications. Embraced by development teams employing agile methodologies, its flexible schema approach is a key attraction. Supporting drivers for major programming languages, MongoDB enables swift application development without the need for extensive database configuration. 

In this blog, we will take a deep insight into this database system, shedding light on its features and, subsequently, examining how SotaTek’s development team harnesses MongoDB in our projects.

1. What is MongoDB?

MongoDB is a NoSQL document-oriented database system designed for handling high volumes of data storage. In contrast to traditional relational databases that employ tables, rows, and columns for data organization, MongoDB adopts a more flexible approach by storing data in dynamic documents with varying structures and schemas.

MongoDB is a NoSQL document-oriented database system designed for handling high volumes of data storage

Developed and managed by MongoDB, Inc., the database operates under the Server Side Public License (SSPL) and was initially released in February 2009. It offers official driver support for widely-used programming languages such as C, C++, C#, .Net, Go, Java, Node.js, Perl, PHP, Python, Motor, Ruby, Scala, Swift, and Mongoid. Many prominent companies, including Facebook, Nokia, eBay, Adobe, and Google, leverage MongoDB to manage large volumes of data in their systems.

2. Features of MongDB

What are the key features of MongoDB? MongoDB offers several key features that distinguish it as a NoSQL document-oriented database system:

• Document-Oriented: MongoDB stores data in JSON-like BSON (Binary JSON) documents, allowing for flexible and dynamic data structures. This approach is different from the traditional relational databases that use tables and rows.
• Schema-less: MongoDB is schema-less, meaning documents within a collection can have different structures. This flexibility enables developers to evolve the database schema without the need for a predefined structure.
• Indexing: In the MongoDB database, each field within documents is indexed with both primary and secondary indices. This streamlined indexing process simplifies and expedites data retrieval or search operations from the dataset. When data lacks indexing, the database is required to scan through each document based on the specified query, resulting in prolonged search times and decreased efficiency.
• Scalability: MongoDB is designed to scale horizontally, allowing users to distribute data across multiple servers or clusters. This horizontal scalability is particularly useful for handling large datasets and increasing the system’s overall capacity.
• High performance: MongoDB provides high performance for both read and write operations. It supports indexing, sharding, and other optimization techniques to enhance data retrieval and storage efficiency.
• Aggregation framework: MongoDB includes a powerful aggregation framework that allows users to perform complex data transformations and manipulations. This feature is particularly useful for analytics and reporting purposes.
• Ad hoc queries: Developers can perform ad hoc queries on MongoDB, enabling quick and efficient exploration of the data without the need for predefined queries or views.
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3. How does SotaTek leverage MongoDB in Software Development Projects?

SotaTek partnered with MongoDB, to do technical consulting for Ubet and Super App for Drivers Project. 

a. Ubet Project

Applying Mongo Atlas helps us easily scale for serving to growing clients in the future. Besides, MongoAtlas solves challenges related to: Multi-region, High-Availability, Durability in the architecture.

• What type of data does MDB store?:  BSON
• Our MDB use case: Storing Bets and Matches information (Betting)

b. Super App for Drivers Project

• How is MongoDB used within the Super App for Drivers?: Mongo Atlas decreases the effort to build a data lake to store Huge amounts of data that comes from user’s activity and documentation content. Product team focuses on logic application.
• What type of data does MDB store?:  String
• Our MDB use case: Storing User activities data and PDF file content

Super App for Drivers is one of projects that SotaTek leverages MongoDB

4. Final thoughts

In summary, MongoDB’s adaptability and support for agile methodologies make it a robust choice for building scalable internet applications. SotaTek’s strategic utilization of MongoDB in Software Development projects exemplifies the database’s pivotal role in fostering innovation and efficiency, showcasing its enduring significance in the dynamic field of software development.

For more information, visit us at:

Website: https://www.sotatek.com/ 

LinkedIn: https://www.linkedin.com/company/sota-tek/ 

Contact: contact@sotatek.com