Recognition has been a long-time coming for data virtualization. As a technology, it has been something of a pre-adolescent, the child actor who couldn’t make the transition to adult roles.
While revolutionary in its approach, early forms of data virtualization were just not ready for prime time, suffering from performance and scalability issues. The norm at the time, were technologies that extracted, transformed and loaded (ETL) data from one platform into an enterprise data warehouse (EDW). Yes, this was slow, overly complex and costly, but that didn’t matter because expectations were low. It was understood if you deposited a check, the money wouldn’t show up in your account until the next day. But after twenty years times have changed.
Now, mobile dictates how we live. Cloud isn’t about weather, it’s the technology deployment model of choice. Social media isn’t a teen choice, it has become the media and the way society connects. All of these new requirements have exponentially accelerated the volume, variety and velocity of data. Data virtualization has come of age out of necessity. There is simply too much data for old style data integration techniques, and the requirements of a digital age demand real-time data.
Can I have the envelope please? Gartner, the leading IT industry research firm, recognizes software companies and technologies through its research reports. The company recently took a deeper look into data virtualization with its Market Guide for Data Virtualization. In this report Gartner examines the market, growth, uses cases and vendors who deliver data virtualization solutions. In terms of growth, the Gartner report states “through 2020, 35% of enterprises will implement some form of data virtualization as one enterprise production option for data integration.”
That’s impressive, but why are organizations making a change? According to Gartner, “familiar data integration patterns centered on physical data movement (bulk/batch data movement, for example) are no longer a sufficient solution for enabling a digital business.”
So, who do customers turn to for data virtualization? According to Gartner “the vendors and products listed here are representative because they have achieved some level of visibility and traction in this market.” While not providing any ranking, the Gartner research revealed only one data virtualization vendor that has a mainframe data virtualization solution – Rocket Software.
Rocket Data Virtualization (DV) makes mainframe data available in real-time. For developers, this effectively moves applications and analytics closer to the data, eliminating the expense of having to move, replicate, or transform the data. For business owners, real-time data translates into instant insight into business opportunities and risks.
So, if Gartner’s Market Guide for Data Virtualization is something of an Oscar, then the best new actor category would be won by data virtualization, (and continuing the metaphor), accepting that award on behalf of mainframe customers would be Rocket Software with our Rocket Data Virtualization, the industry’s only mainframe resident data virtualization solution.
Source: Gartner, Market Guide for Data Virtualization, Ehtisham Zaidi, Mark A. Beyer, Shubhangi Vashisth, July 25, 2016
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