Pros and Cons of MongoDB in Web Development

Pros and Cons of MongoDB in
Web Development
Phone No: 604.595.2495 Website: Nirvanacanada.com

Databases are available in plenty, and choosing the right one for your
organization is a challenging task. In this blog, we will specifically focus
on MongoDB and its pros and cons for web development.
We will also see how MongoDB performs in comparison with MySQL,
which is its major competitor. So, let’s get started!

What is MongoDB?
For the uninitiated, MongoDB is a Database management system that is
open-source and free. It is based on NoSQL and is very useful while
working with large sets of data.
MongoDB can be used for storage, load balancing, complex data
structure descriptions, and data integration.
MongoDB provides users with a server to create databases, which store
records made up of collections and documents.
The fundamental unit of data in MongoDB is field and value pairs. The
basic difference between MongoDB and Relational Database
Management System(RDBMS) is that it is not a relational database.
In this blog, we will specifically discuss the advantages and
disadvantages of MongoDB in web development.

Use of MongoDB in Web Development
Web applications have been traditionally using relational databases
primarily, but now more developers are leaning towards alternative
options like NoSQL.
MongoDB, which is based on NoSQL, allows the development of scalable
and data-driven web apps. It is designed for high-speed read & write.
MongoDB has a scale-out architecture which is easy to work with for
developers. They can perform various functions like saving, updating,
extracting, and managing data with ease.
You can retrieve documents in JSON format, which can be read by
humans. This can also be used for storing complex data objects.

Pros of MongoDB NoSQL Database
Developer Friendly
MongoDB has been built in such a way that developers find it very
convenient to work with it.
It can be used with a variety of languages, including Java, C#,
JavaScript, Ruby on Rails, and Python.
This database management system constantly gets updated with new
features, and excellent tech support is available for its customers.
All you need to do is click a few times on the web UI, and you can begin
coding and creating clusters. The on-premise MongoDB database can
also be migrated to the cloud.

Scalability
MongoDB is scalable and capable of handling traffic surges very
smoothly. This basically means that processing is distributed across
several computers. It supports huge volumes of read-and-write
operations.
MongoDB uses sharding, which enables storing information clusters in
one place. However, data itself is stored on several computer clusters.
This is exactly the opposite of relational databases, which scales up by
adding powerful computers.
MongoDB allows objects to be embedded within one another via data
modeling. Updation can be done through a single transaction.
Several database transactions can be combined in one batch, which is
either rejected or carried out.

Application Lifecycle
MongoDB is meant for fast development because you can change
anything almost instantly. The developer does not have to bother about
the document’s strict format.
MongoDB provides fast development, and there is no need for schema
synchronization. There are straightforward predetermined solutions.

Cons of MongoDB
Nothing is perfect in this world, and although MongoDB has obvious pros,
it also has some cons. Let’s have a look at them.
Memory Usage
MongoDB has unnecessary usage of memory as it stores key names for
all value pairs. There is no functionality of joins which causes data
redundancy.
No support for Joins
Unlike relational databases, there is no support for joins. It can only be
added manually by coding. However, this may slow down the execution.
Limitation on Nesting
Documents cannot be nested above the 100 level.

Limitation on Data Size
Document size cannot be more than 16MB.
Write Limit
MongoDB has a write limit, which determines how fast you can write to
the database. Writes are recorded on the master, which is limited by that
particular master node’s capacity.
Security Issues
MongoDB does not have user authentication enabled by default. Hackers
are known to target unsecured MongoDB databases.
Continuity
MongoDB has an automatic failover strategy which means that if the
master malfunctions, another node will become a new master.
However, the catch is that it will take up to 60 seconds for this to happen.
There are NoSQL databases, which have several master nodes. If one
goes down, another is always on standby.

Comparison of MongoDB & MySQL
Architecture
MongoDB has Nexus architecture which can offer high scalability, flexible
schema, and global availability. It includes drivers for AWS, Kubernetes,
and Azure, programming languages like Python and Django framework.
MySQL has client-server architecture with storage optimized for high
performance. Its documentation has a performance optimization
technique making use of configuration rather than changing SQL
measurements.

Query Language
The query language used is MongoDB Query Language (MQL), which is
expressive. It allows CRUD functions like create, update and delete.
There are also options for text search, geospatial queries, and data
aggregation.
MySQL uses SQL and can bring data from tables using the join
functionality. This is what makes it a relational database. SQL has options
for Data definition, Data Transaction, Data Manipulation, and Data
Control.

Security
MongoDB offers flexible permissions which are role-based for users as
well as for devices.
This prevents access to unauthorized persons and prevents cyber
attacks. It also supports TLS, which stands for Transport Layer Security,
and SSL, which is Secure Sockets Layer (SSL).
MySQL has privilege-based access and also supports encryption like
MongoDB. It allows granting privileges to users to access data sets and
operations.
Recently, MySQL has added dual passwords to increase security. It is
also considered more secure as compared to MongoDB due to its
schema and rigid architecture.

Transaction Model
In the case of MongoDB, the BASE model ensures that data is available
by creating replicas across various nodes. There is no immediate
consistency of Data values, although BASE model can enforce it.
MySQL, on the other hand, goes by ACID model to ensure consistency.
ACID stands for the following attributes:
Atomic: Each transaction is either completely halted or carried out
properly.
Consistent: Transactions never affect the structural integrity of the
database.
Isolated: No transaction affects any other transaction.
Durable: Even if there is an outage, data related to the transaction can
still be found.
As this ensures high security and no failed transactions, financial service
firms prefer this model.

The Bottom Line…
As we have seen, MongoDB has its pros and cons, and its suitable for
use in some cases and not in others. MySQL is a good alternative in case
MongoDB is not a fit for your requirement.
MongoDB is becoming popular due to its flexibility and scalability
features. In case you want to develop a web application, you can get in
touch with us at Nirvana Canada. Our experienced team will be happy to
help you out.

Address: 501-3292 Production Way,
Burnaby BC, V5A 4R4
Phone no: 604-595-2495
Email: success@nirvanacanada.com
Website Blog Link:
https://www.nirvanacanada.com/businessonline/pros-and-cons-
of-mongodb-in-web-development/
Contact Us

Pros and Cons of MongoDB in Web Development

Recommended

More Related Content

Similar to Pros and Cons of MongoDB in Web Development (20)

More from Nirvana Canada (20)

Recently uploaded (20)

Pros and Cons of MongoDB in Web Development