DataOps, private cloud database platform as a service (dbPaaS) and machine learning (ML)-enabled data management are making their debut in the 2018 Gartner, Inc. Hype Cycle for Data Management.
The Gartner Hype Cycle for Data Management helps CIOs, chief data officers (CDOs) and other data and analytics leaders understand the maturity of data management technologies they are evaluating, in order to provide a cohesive data management ecosystem in their organizations (see Figure 1).
"We are witnessing only three technologies entering the Innovation Trigger phase because, in line with what we see in the industry, there is less focus on innovation and more on execution at scale in the data management space,” said Donald Feinberg, vice president and distinguished analyst at Gartner.”
The Innovation Trigger is the first phase of the Hype Cycle where a breakthrough, public demonstration, product launch or other event generates significant press and industry interest.
In addition, more and more vendors are switching to a cloud-first delivery model, which rapidly accelerates several technologies, such as dbPaaS and integration platform as a service (iPaaS). In fact, dbPaaS is less than two years away from mainstream business adoption. In-memory functionality is also becoming more widely available and pervasive throughout all data management technologies. “Those are more delivery platforms than technologies, they can move rapidly to the plateau of productivity,” added Mr. Feinberg.
Figure 1. Hype Cycle for Data Management, 2018