Say Yes To NoSQL? – Breaking Down Mongo DB

5 May

Mongo DB is an open-source relational database that has taken the business world by storm. Despite its popularity many are still unfamiliar with Mongo and its appeal. What is it about Mongo DB that makes it different? Why are some of the largest worldwide companies migrating to Mongo DB? We’ll explore these questions and more as we break down the database solution known as Mongo DB.

First off, let’s shed the notion that Mongo DB is your same old database. It’s not. Mongo is known as a NoSQL database. This generally refers to the way data is structured within the database. While SQL/RDBM systems rely on tabular relations, NoSQL relies on trees, graphs, and key values. NoSQL databases are becoming increasingly popular as Big Data (there it is again!) pours its way into businesses across the globe. Its use with web applications is also a major reason for recent adoption. While adoption rates soar for NoSQL/Mongo in many organizations, there is no standard interface for NoSQL at this time, and its lack of ACID support make some organizations wary of making the switch – not to mention the investments already made in SQL storage.

Moving back to Mongo DB, the leading NoSQL database, we see many organizations testing the waters. According to Mongo’s statistics, the Mongo DB garners more search traffic and job postings than any other NoSQL offering over the last four years. Consequently, many professionals are now listing Mongo DB as a skill in their job-related media profiles including LinkedIn. When researching the amount of times professionals listed Mongo as a skill as opposed to another NoSQL database, Mongo took over 50% of the share.

With the adoption of Big Data technologies and analysis, Jaspersoft, the leading Big Data researcher, found that Mongo DB was the most popular tool for storing and analyzing Big Data – at a nearly 7 to 1 clip. That means 70% of those currently storing and analyzing Big Data use Mongo.

When it comes to employers, Mongo DB skills are listed as the second-most wanted skill behind HTML5 development (according to Indeed.com). This means that employers want talented professionals who can develop websites and applications using the latest languages as well as the skills to obtain and analyze the data they collect. To put things in perspective, Mongo DB skills are in higher demand than iOS, Android, and other mobile development platforms.

What does this mean?

This means that Big Data is taking over, and Mongo DB is ready to be the solution for organizations looking to turn Big Data into big profits. The best part is, it’s not all hype. Mongo DB is the leading NoSQL solution due to these factors: 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. That’s not all. Some of the world’s leading organizations have had great success with Mongo DB including Forbes, ADP, Astra Zeneca, Carfax, Craigslist, and IBM. Yes, you read that right, IBM! Remember, IBM has about 40% market share with its DB2 family of products.

Overall, Mongo DB is leading the charge when it comes to Big Data and NoSQL development and implementation. The technology landscape is changing almost daily, and having a product such as Mongo at your organization’s disposal can be a great benefit, and will help companies outshine their competitors in a Web 2.0 and Big Data world.