MongoDB: A Brief Introduction

• The architecture of the database is designed to evolve with the needs of enterprise applications. Hence, it meets your virtualization and cloud computing requirements.

• With MongoDB at the core of the applications, the development methods have changed. Developers have started opting for iterative development, which helps stay competitive.

• The database can handle all sorts of data shapes, structured and semi-structured as well as the unstructured object style polymorphic data.

• In line with the exponential explosion of the data, organizations have showcased the ability to handle several terabytes of data, which amounts to thousands of queries in milliseconds being sent and received across millions of users. Predictability does not exist in the data forms of today’s digitized age.

If you were to see the businesses in today’s time and age, you would realize that the open-source and agile database is being used by a broad range of applications. The database, despite being unconventional, offers a range of functionalities that come with the traditional databases. In fact, it is a full-query language with a secondary index.

Depending on the need, you can scale the MongoDB database to suit the complex servers or the high-level multi-site architecture. They use in-memory computing to offer the high-performance read/write required for the enterprise application.

Use cases for MongoDB

Here are a few applications of MongoDB.

• BigData: BigData helps make sense of the ever-evolving and fast-changing data that comes from a wide range of sources, and cannot be understood using the conventional infrastructure or skills and technologies. The data in this technology can be easily handled and skillfully maneuvered using MongoDB.
• Collaboration Apps: Interactive and shared user activity apps indicate the requirement of a database that can handle the different sources of data as well as the different types and volumes of data. The collaboration app is one of the best use cases for MongoDB.
• Content Delivery: Apps that store large amounts of content, including metadata are known as content management apps. Some of the examples of these apps include websites, document management applications, web content, eCommerce sites, etc.
• Mobile Apps: The seamlessness of the backend for mobile apps is guaranteed with the inclusion of MongoDB.
• DBaaS: The Database as a Service offers on-demand access to write, read and store the data, which also requires a high-end database such as MongoDB for speed and agility.

Summing up

MongoDB is growing to become one of the best enterprise databases, meant for quick access to data, and conditioning itself to meet the evolving nature of data.

If you want to improve the agility of your enterprise with MongoDB, connect with Coruscate. We have been working on perfecting the MEAN stack, and have delivered successful projects with these technologies.