You may already know that MongoDB is quite the popular Database Management System.
What's more, you probably know that Mongo represents the M of two of the most popular development stacks, MERN and MEAN.
Since its launch, the non-relational DBMS was key for teams to handled data without following the strict and rigid SQL rules.
With over 175,000 devs joining its platform every month, it's worth asking: What makes MongoDB so appealing?
Saying that MongoDB is a non-relational DBMS only tells half the story.
That there are four types of Non-relational databases: Key-Value, Wide-Column, Graph and Document Databases.
For instance, Amazon DynamoDB and Redis are examples of Key-Value Databases.
Likewise, ScyllaDB is one of the most known Wide-Column Databases and Neo4J is a great Graph Database.
As you may have guesses, our beloved MongoDB is a Document Database.
MongoDB stores data in JSON-like documents (BSON) instead of relational database management system's tables.
Likewise, it organizes these documents in collections that don't require joins.
However, you can still build relationships between them.
A single document can store any type of data, and document schemas are optional.
This allows teams to add more data structures much more quickly.
This new way of handling data is much more flexible and scalable than the old SQL approach!
The traditional databases approach involves tables that store data.
These tables require pre-defined schemas, columns and rows.
You'll likely have to query multiple tables to access a desired record.
Yet, modern Web Apps have tons of unstructured and messy data in most case scenarios.
This makes those pre-defined schemas kind of inefficient to handle actual data.
The bright side is that MongoDB allows you to easily store data in the same document as JSON objects.
Every time an app needs to access a record, MongoDB can access if faster, because it's in the same location.
Imagine an app that tries to access a user's name, password, address, email, ID and job position.
If you use SQL, that query might involve at least two tables.
Yet, MongoDB lets you store all that user data in the same JSON object.
Even if the user has multiple emails or addresses, you can use an array to store as many values as you wish.
Compare having an assembled Lego castle ready to go and having to collect all the individual Lego bricks separately.
In MongoDB, collections work as independent units or entities that don't depend on other collections.
As a result, developers can optimize and scale them separately, and they even have their own space in memory.
Developers can scale databases horizontally with sharding, which distributes data across multiple machines.
This allows teams to smoothly work with humongous amounts of data.
That's where the name comes from! See what MongoDB did there?
Before explaining how MongoDB works, let's take a quick look at its main components.
We'll also discuss how they relate to SQL elements.
If you already know SQL, this will be easier to understand!
$lookup operator.MongoDB's ecosystem has a variety of database tools you can access:
Dwight Merriman, Eliot Horowitz and Kevin Ryan created MongoDB to address modern applications' needs.
The thought process was that social media and eCommerce platforms generate massive amounts of unstructured data daily.
Not to mention the Internet of Things and healthcare apps, among others!
Complex apps demand customized orders, product catalogs and pricing.
They also need user profiles, analytics, secure structures, real-time performance, etc.
The team designed MongoDB to handle all those factors simply and cost-effectively!
From a UX designer perspective, users demand real-time access, high availability, data variety, and scalability.
These edges are much easier and cheaper to accomplish with MongoDB!
From a developer's perspective, it also streamlines the Product Development Lifecycle to a large extent.
MongoDB is a source-available cross-platform document-oriented database program that you can use to build any app.
It wouldn't be fair to say that MongoDB is better than SQL in every scenario.
Yet, the solutions and products it offers fully align with modern applications.
Our stellar team has used MongoDB to build cutting-edge and successful applications.
Wondering how can MongoDB leverage your solutions? Get in touch!
You may already know that MongoDB is quite the popular Database Management System.
What's more, you probably know that Mongo represents the M of two of the most popular development stacks, MERN and MEAN.
Since its launch, the non-relational DBMS was key for teams to handled data without following the strict and rigid SQL rules.
With over 175,000 devs joining its platform every month, it's worth asking: What makes MongoDB so appealing?
Saying that MongoDB is a non-relational DBMS only tells half the story.
That there are four types of Non-relational databases: Key-Value, Wide-Column, Graph and Document Databases.
For instance, Amazon DynamoDB and Redis are examples of Key-Value Databases.
Likewise, ScyllaDB is one of the most known Wide-Column Databases and Neo4J is a great Graph Database.
As you may have guesses, our beloved MongoDB is a Document Database.
MongoDB stores data in JSON-like documents (BSON) instead of relational database management system's tables.
Likewise, it organizes these documents in collections that don't require joins.
However, you can still build relationships between them.
A single document can store any type of data, and document schemas are optional.
This allows teams to add more data structures much more quickly.
This new way of handling data is much more flexible and scalable than the old SQL approach!
The traditional databases approach involves tables that store data.
These tables require pre-defined schemas, columns and rows.
You'll likely have to query multiple tables to access a desired record.
Yet, modern Web Apps have tons of unstructured and messy data in most case scenarios.
This makes those pre-defined schemas kind of inefficient to handle actual data.
The bright side is that MongoDB allows you to easily store data in the same document as JSON objects.
Every time an app needs to access a record, MongoDB can access if faster, because it's in the same location.
Imagine an app that tries to access a user's name, password, address, email, ID and job position.
If you use SQL, that query might involve at least two tables.
Yet, MongoDB lets you store all that user data in the same JSON object.
Even if the user has multiple emails or addresses, you can use an array to store as many values as you wish.
Compare having an assembled Lego castle ready to go and having to collect all the individual Lego bricks separately.
In MongoDB, collections work as independent units or entities that don't depend on other collections.
As a result, developers can optimize and scale them separately, and they even have their own space in memory.
Developers can scale databases horizontally with sharding, which distributes data across multiple machines.
This allows teams to smoothly work with humongous amounts of data.
That's where the name comes from! See what MongoDB did there?
Before explaining how MongoDB works, let's take a quick look at its main components.
We'll also discuss how they relate to SQL elements.
If you already know SQL, this will be easier to understand!
$lookup operator.MongoDB's ecosystem has a variety of database tools you can access:
Dwight Merriman, Eliot Horowitz and Kevin Ryan created MongoDB to address modern applications' needs.
The thought process was that social media and eCommerce platforms generate massive amounts of unstructured data daily.
Not to mention the Internet of Things and healthcare apps, among others!
Complex apps demand customized orders, product catalogs and pricing.
They also need user profiles, analytics, secure structures, real-time performance, etc.
The team designed MongoDB to handle all those factors simply and cost-effectively!
From a UX designer perspective, users demand real-time access, high availability, data variety, and scalability.
These edges are much easier and cheaper to accomplish with MongoDB!
From a developer's perspective, it also streamlines the Product Development Lifecycle to a large extent.
MongoDB is a source-available cross-platform document-oriented database program that you can use to build any app.
It wouldn't be fair to say that MongoDB is better than SQL in every scenario.
Yet, the solutions and products it offers fully align with modern applications.
Our stellar team has used MongoDB to build cutting-edge and successful applications.
Wondering how can MongoDB leverage your solutions? Get in touch!