There is an increasing demand for NoSQL database experts, especially those highly trained on MongoDB. This is mainly due to the fact that NoSQL databases are replacing traditional RDBMs as NoSQL databases like MongoDB offers the flexibility to organize data in a way that makes the data usable. This along with the proverbial explosion of data from various digital medias has forced organizations to look for alternatives to match the colossal speed of Big Data.
NoSQL databases are adept at handling Big Data using document structures for storing data in loosely defined objects, making it a best choice for handling Big Data challenges. As a result, MongoDB has now become one of the leading NoSQL database solution.
Let us look at the various reasons that make MongoDB a lucrative option for your career.
Huge Demand for MongoDB Skills:
MongoDB is fast becoming an industry trend and is gaining popularity for its powerful query language and its easy transition from a relational database to NoSQL database. With increasing implementation of Big Data and its technologies, it is a natural progression for the organizations to look for MongoDB skills.
According to a report by Allied Market Research, the growing awareness of the benefits of NoSQL over RDBMS has resulted in increased demand for MongoDB skills, especially in sectors like, social networks, retail and e-commerce.
The global NoSQL market is predicted to reach $4.2 billion by the end of 2020, growing at 35.1% CAGR between 2014 and 2020. The adoption of NoSQL over SQL database is largely driven by trends such as integration among different NoSQL technologies and between SQL and NoSQL database and the increasing demand for Cloud Computing technology, which are dominating the IT market.
The features and capabilities available with MongoDB make it the most desirable skill in demand with highest paying job skills. According to Dice, the number of NoSQL jobs for people experienced with unstructured database systems like MongoDB has increased by 54% over the last year.
NoSQL Skill Shortage & Growing Big Data Job Opportunities:
According to a research by the 451 Group, MongoDB was responsible for more than 50% of all mentions of NoSQL database in LinkedIn member profiles in 2015 Q3, placing it way ahead of its competitor.
This is mainly because the capabilities of MongoDB is having a massive cascading effect on the job market. The job posting for MongoDB has been showing a constant and steady growth in the last two years, corresponding to the Big Data growth.
This survey is not only source that is proving the popularity of MongoDB; job portals like Indeed and Google Trends also have shown proof of the escalating popularity.
Job trends graph of Indeed.com lists MongoDB as the most commonly mentioned NoSQL variants in job listings. Here is a quick comparison of MongoDB with other databases.
Zooming Popularity of MongoDB:
It is very clear that MongoDB is dominating the database field. Also, MongoDB is recognized as the leading NoSQL database as it delivers faster time to market, higher developer productivity, and better developer experience. Its awesome features includes JSON data model with dynamic schemas, extensive driver support, auto-sharding, built-in replication and high availability, full and flexible index support, rich queries, aggregation, in-place updates and GridFS for large file storage.
There are a number of metrics, such as Google searches and job postings that demonstrate MongoDB’s leadership. Here’s the rank list of the databases, according to DBEngines.
Big Pay Off for MongoDB Skills:
According to Computer World UK, Hadoop and MongoDB are some of the IT skills in demand and firms are willing to pay big bucks for them. According to them, the average salary for big data/NOSQL related jobs is over 113,000 USD per annum and according to Indeed, the average salary for MongoDB skill is 102,000 USD per annum. This figure is 77% higher than average salaries for all job postings
A recent survey conducted by Dice estimates that salaries for employees who use Hadoop and NoSQL are more than 100,000 USD. This figure is considerably higher than the overall average IT professional’s salary of $85,619.
Works Well With Hadoop:
As Big Data is becoming bigger, enterprise are increasingly relying on Hadoop and prominent NoSQL databases. A recent survey conducted by Dice estimates that salaries for employees who use Hadoop and NoSQL are more than $100,000. Meaning that the combination of these skills are the most sought after by leading organizations in the field of Big Data. More than One third of the Fortune 100 companies are harnessing the power of Hadoop and MongoDB together to create complete Big Data applications:
Many organizations are harnessing the power of Hadoop and MongoDB together to create complete Big Data applications:
- MongoDB powers the online, real-time operational application, serving business processes and end-users
- Hadoop consumes data from MongoDB, blending it with data from other sources for sophisticated analytics and Machine Learning. The result is then loaded back to MongoDB to serve smarter operational processes.
MongoDB is a Go-to Choice for Many Organizations:
Among the Fortune 500 and Global 500 companies, MongoDB is already serving 10 of the top financial services institutions, electronics companies, media and entertainment companies, retailers, etc. Here is the list of other sectors looking for MongoDB skills:
- Online gaming
- Social network development
- Web applications management
Here are some of the top companies that are using MongoDB are:
It is pretty clear that MongoDB is headed in the right direction. With more and more people moving towards newer data needs, there is increased implementation of MongoDB and other NoSQL systems, to address those needs. MongoDB has emerged as the DBMS standard for modern application development and its pervasive adoption and growing momentum. MongoDB is the next-generation database that helps businesses transform their industries by harnessing the power of data. Hence, learning MongoDB will a lucrative step for your career.