digital graphs

Database Bracketology: A Look at the Match Ups

With just one day until the NCAA Men’s Basketball Tournament kicks off, March Madness is in full swing. Whether you think Kansas will take all or Arizona will pull an upset, you can’t deny that it’s a fun time of year for basketball fans.

To get in on the fun, today we’re launching a series of blog posts with our own bracketology — for databases. In this blog series, we’ll take a look at the different types of databases in the market today and match them up with some specific use cases. We’ll provide an overview of what database solution will help you maximize performance across the board for your organization’s specific needs.

In this blog post, I’ll provide a preview of the match ups that we’ll cover in our database bracketology series.

Cloud vs. On-Premises

What on-premises brings in depth, cloud brings in cutting-edge functionality. In the past few years, cloud has taken off with a high adoption rate due to its scalability and how quickly new features roll out.

Many organizations aren’t willing to say goodbye to their on-premises solution just yet, as they offer deep functionality that has often been customized to meet their unique organizational needs and would require a complete overhaul of data to migrate to a cloud solution.

 

NoSQL vs. SQL

With today’s focus on driving a better end-user experience, NoSQL databases have quickly become favorites. The flexible data model makes it easier to access big data in real-time, improving efficiencies for specific use cases, like storing and managing operational data with the ability to quickly turn these data points into analytics.

Even so, SQL databases offer benefits that many organizations don’t want to sacrifice — like the ability to query a large amount of data, organize data based on well-defined standards and skip writing code to create a database that works.

 

Distributed vs. RDBMS

Unstructured, voluminous data sets have risen in recent years and with it, so has the need for distributed databases. From improving the speed at which you can access data and the ability to dive deep into key analytics, distributed has become a crowd favorite for many.

At the same time, relational database management systems (RDBMS) continue to thrive because of their well-organized data structures, ability to control access and the ability to easily maintain your data.

 

 

Stay tuned for our the first post in our series: cloud versus on-premises on the SelectStar blog tomorrow!

 

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