Most modern applications nowadays interact with some sort of a data source, either indirectly by using web services such as Facebook API, or more directly via local access using database drivers.
This article will provide an overview of various types of applications that are heavily dependent on databases. We will also explain the differences between a database system and a database application.
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“Database application” can mean two things:
One: It can refer to software running a database system. MongoDB Server or SQL Server are both software that provide the following:
Two: It can refer to applications that are heavily coupled to a specific database and built to provide elements of that database to the end user. Some examples of such applications include:
The main purpose of database applications is to provide a way for data to be consumed either by end users (via UI) or other higher-level applications (via APIs). A database application can be used for storing or retrieving data, processing transactions, or various machine learning calculations.
For example, Facebook has a user database with which it authenticates users when they log into their Facebook account. However, Facebook also provides the ability to consume their user database by another application. This is done via a secure API Facebook exposes, and you could probably see this in many of today's platforms’ authentication methods.
Another example is MongoDB Atlas, a Data-as-a-Service platform. Atlas clusters provide a variety of ways to consume the data — for example, via a driver, a Realm serverless function, or even via MongoDB Charts to provide dashboards based on data stored in Atlas.
Organizations and database administrators have to understand the pros and cons of the different database applications and database software out there. Databases can be categorized by the way they structure and consume data. Some use a normalized model and relations (Relational) while others use nested objects (Documents and some NoSQL flavors).
Let’s look at the following list:
There is no one-stop shop for this question and the decision should depend on the use case of the application under consideration. Having said that, MongoDB and MongoDB Atlas are a general purpose, enterprise-grade database. Therefore, they cover a wide range of use cases and should be a great fit for almost all modern applications.
A good way to start is by understanding how NoSQL databases like MongoDB work compare to SQL.
MongoDB Atlas, MongoDB’s Data-as-a-Service platform, is an ideal candidate for web applications. The document model allows websites to interact with JSON’s flexible data model, which is a natural fit for the vast majority of web frameworks. MongoDB Drivers cover popular web-based languages including Javascript, PHP, Ruby, Python, Go, and many more.
MongoDB Atlas and MongoDB Server support complex aggregation processing as well as built-in full transaction support to support a wide range of use cases to manipulate data.
Additionally, Atlas is a fully managed service deployed on three of the major clouds (AWS, Azure, GCP) which makes it a cloud database. Atlas can elastically grow as our web application expands. The network configuration and security are optimized for internet- and cloud-based product integration.
Now that you know the fundamental concepts that form the basis of database applications, visit how to build a full-stack MERN application and see what database applications you can make with MongoDB.
Building with MongoDB products allows you to easily consume data-oriented services, making your applications focus on their specific purpose rather than working for the database.