What To Do When Your Cloud Shift Looks Overcast

Rima MutrejaBusiness/Company

cloud shift for enterprise data management

Weather Channel, take note: reigning tech analysis firm Gartner has the upper hand when it comes to accurate forecasts. This summer, Gartner made a momentous statement about the inevitable growth and financial impact of cloud shift: according to a recent release, “by 2020, ‘Cloud Shift’ will affect more than $1 trillion in IT spending.” In the release, Ed Anderson, Gartner’s research vice president, called cloud first strategies “the foundation for staying relevant in a fast-paced world.”

As cloud ubiquity continues to expand and enterprises race to shift services skyward, however, two IT services are feeling gravity’s pull and lagging behind others in the market: despite making up the lion share of IT spending, Application Infrastructure and System Infrastructure are falling behind their counterparts in terms of current and expected cloud shift investment and rates by at least 20-30%. The reason for this stark disparity starts and ends with three challenges:

  • Cost
  • Risk
  • Time

Shifting to the cloud can be a slow process, especially if enterprises have to refactor their applications to ensure they can speak to the new cloud database: such projects can take upwards of 3 to 5 years and cost in the millions of dollars. In that time, application code is rewritten, tested, and validated, and the smallest of errors could set a project back months. Not surprisingly, this is the main reasons why CIOs and IT leaders are hesitant to implement a cloud-first strategy just yet.

The shift to the cloud is one of most significant business decisions for enterprise IT and we, at Datometry, are excited to accelerate that shift. With the release of Datometry Hyper-Q™, the market’s first Adaptive Data Warehouse Virtualization technology, Datometry is rewriting the enterprise data management story. With Hyper-Q, enterprises can run their existing data warehouse workloads natively and instantly on a cloud platform of their choosing. Hyper-Q is available both on AWS Marketplace as well as Microsoft Azure Marketplace for the respective cloud-native database products.

Datometry isn’t just shaping the future of cloud shift: we are radically changing its present. And with the steady advancement of Datometry’s Hyper-Q, we predict the cloud atmosphere in 2020 is going to look very different than what’s expected.

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