Many enterprises are making the switch from decades old relational technology to NoSQL. NoSQL technology is much better suited to address the demands of Big Data applications, but the process of NoSQL database evaluation can be tricky and confusing.
The term “NoSQL” itself is too broad and meant to encapsulate any database that does not follow the relational model. There are several categories of NoSQL databases and within each category there are several options. It’s hard to discern which among those are the best fit for your application requirements and allow for future support and growth within your enterprise.
As you go about investigating the different options, there are several important criteria to mull over. First is whether the database enjoys widespread adoption and support. Does the database have a robust developer community and partner ecosystem? If so, then that is a good indicator of its potential for future growth and adoption within your organization.
Another aspect to consider is the applicability of the database to a broad variety of use cases. If the database technology is only good at satisfying one or two scenarios then you can expect it to eventually die on the vine, so to speak.
Based on just these two criteria alone, MongoDB is the NoSQL database to consider for your modern, Big Data applications. The most popular database with 40 million downloads and counting, MongoDB has a thriving developer community with thousands of certified professionals, and it consistently ranks as the most popular NoSQL database according to DB-Engines’ monthly rankings. Also, as a general purpose database you can successfully employ MongoDB to address many different use cases.
Before you complete your NoSQL database evaluation, read our white paper to learn more about the most important selection criteria. In the paper, we outline the five critical dimensions to consider in making the right choice for your application and business.