With March Madness wrapped up after University of North Carolina won its sixth NCAA National Championship, we are ready to declare a winner here for our database bracketology championship.
Over the past few weeks, we’ve shared a series of post pitting the industry’s top databases against each other. In case you missed it, here are the matchups:
So, who won?
As we dove into the functionality of each of the different database types that have become favorites in today’s complex market, there were some clear functionality winners for each. Cloud offers the best functionality on the market today, while distributed provides a database solution that meets today’s dynamic data environment.
Finding the best database solution goes deeper than taking a look at the best functionality. It truly depends on the needs of your organization and what data infrastructure works best. For many organizations, a hybrid solution often gives them the best infrastructure to meet their unique data needs.
Today’s data environment is more complex than ever before. The Big Data movement brought about huge amounts of data, much of which is unstructured, requiring a new format for storing and accessing data — hence the increased interest in distributed databases like Apache Hadoop. At the same time, database administrators don’t want to sacrifice the fast data analysis that they’ve become accustomed to with traditional databases.
Because of this, we’re seeing more and more people rely on a hybrid approach — which offers the best of both worlds, but can drive complexity when it comes to managing your databases and understanding overall performance.
Simplify the management of your databases
Whether you have your data residing in one database type or a hybrid solution, managing your databases can be just as complex as the data that you’re storing. Leveraging a database performance monitoring tool to manage your data infrastructure gives you essential insight into how your databases are performing.
From a single console, you can drill down from the instance to the database to clearly define where issues are occurring — giving you insight into where to start the troubleshooting process. One of the key issues I hear in the field comes from customers who know there’s an issue with the database, but can’t drill down to what may be causing it. Is there not enough storage? Is the network running slow? Or, is the database in disrepair?
Especially when you are working with several different types of databases, the ability to drill down (to the query level for instance) can eliminate mean-time-to-innocence hunts and give you instant clarity into what caused the issue.
In turn, you gain visibility into your database performance — no matter the complexity of your data infrastructure. With better visibility, your team can spend time where it matters — getting to market faster and with better results.
Interested in seeing how you can leverage SelectStar to simplify your database management? Check out a free trial to learn more.