9 Cloud analytic database solutions were evaluated over six Disruption Vectors: Robustness of SQL, Built-in optimization, On-the-fly elasticity, Dynamic Environment Adaption, Separation of compute from storage, and Support for diverse data.

Key findings in our analysis include:

  • Due to the economics and functionality, use of the cloud can now be a given in most database selection in 2017 and beyond.
  • Several offerings have been able to leapfrog databases with much more history by being “born in the cloud” and tightly integrating with it through On-the-fly elasticity, Dynamic Environment Adaption, and Separation of compute from storage.
  • While traditional database functionality is still required, cloud dynamics are causing the need for more Robustness of SQL, Support for diverse data and other capabilities that may not be present in traditional databases.

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McKnight Consulting Group