Why has MongoDB become globally famous

Linguistic transformation

The basic work of programming is to tell a computer how to do a task. This is the reason why most of the innovation in the software development field has been linguistic innovation, that is, transformation in effortlessness and effectiveness that lets a programmer command a computer system. The advancement in the ability of programmers enhance the way we execute data structure and also the way we execute algorithms.  

The Object-Relational impedance discrepancy

Most of the modern languages support OO, and when programmers model entities in their code, they generally model them make use of composition of primitive types, objects, and arrays. Every language might deal with the details in a different way, the idea of nested object structures has now become programmer’s global language for describing things.

The data structures programmer use to persist data haven’t developed at the same pace. For almost 30 years the main data structure for persistent data has been the Table - a set of rows contain columns with scalar values.

The difference between how programmers model things in code, via objects, and how they are showcased in persistent storage, via tables, has always been source of complexity for programmers.

Tools that are known as ORMs or Object-Relational Mapping Systems exist for almost every existing object-oriented language, and with these tools, every programmer will complain that doing O/R mapping in a sensible way is a waste of time thing.

During 90s, attempts were made at object database, but no technology could ever become a true alternative to the relational database. MongoDB is the first ever successful document database.

Blog Post: An Example

In a blog post the developer will have to a class/object structure for modeling blog posts in their code, but if they are using a relational database to store the blog data. Every entry would be spread across plenty of tables.

Being a developer, you will need to know how to change every BlogPost object to and fro the set of tables that house them in the relational model.

If you choose MongoDB, your blog posts can be stored within a single collection. With a document database the data is stored almost like it is showcased in the program. You don’t have to deal with any difficult mapping exercise.

MongoDB is good for

• Account and user profiles - can easily store wide range of addresses

• CMS - flexible schema of MongoDB good for diverse collections of content types

• Form data - makes it easy to develop the structure of form data over time

• Blogs / user-generated content - can keep data with difficult relationships together within an object

• Location based data - MongoDB knows geo-spatial coordinates and natively supports geo-spatial indexing

We deal with MongoDB and other technologies like NoSQL database. If you want to work with us or need any further assistance, you can write to us at [email protected].