Five Database Technology 'Faceoffs' Explained

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With constant changes in database technology, companies need to address whether they should build and maintain a system of enterprise software and hardware, often adapting the latest technology or employ a software as a service that will manage the infrastructure and data for them. Buying enterprise software involves costs associated with new products and implementation. In addition, building an internal infrastructure to support a new system can be time-consuming and costly if the proper internal resources are not available.

Working with a software as a service (or private cloud hosting) might be a faster transition, but leaves organizations with less control over the process. It can also be challenging to buy services and still account for integration of systems already in place. However, a shift towards finding a way to harmonize the old and the new is becoming prevalent in the database technology space. By joining the old and the new instead of putting them at odds, companies can find new solutions that fit their needs.

Database technologies are rapidly evolving to a degree where it can be difficult to keep up with the newest solutions and buzzwords, let alone distinguish one from another. Looking for the right solution can be especially challenging when IT vernacular is constantly putting terms at odds. There are countless “this-or-that” conversations in database technology. In this slideshow, Kurt Dobbins, CEO of Deep Information Sciences, takes a look at a few of the most common faceoffs.  


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