INSUBCONTINENT EXCLUSIVE:
applications that are based on that data
Datometry, a San Francisco startup, has developed a solution to solve that issue, and today it announced a $17 million Series B
investment.WRVI Capital led the round with participation from existing investors including Amarjit Gill, Dell Technologies Capital, Redline
Capital and Acorn Pacific
At Datometry, we built a software platform that lets them take their existing applications and move them over to new cloud technology as
customers would have to hire expensive systems integrators and take months or years rewriting their applications, but Datometry says it has
found a way to move the applications to the cloud, reducing the time to migrate from years to weeks or months, by using virtualization.The
company starts by building a new schema for the cloud platform
It supports all the major players including Amazon, Microsoft and Google
It then runs the applications through a virtual database running the schema and connects the old application with a cloud data warehouse
like Amazon Redshift.Waas sees virtualization as the key here as it enables his customers to run the applications just as they always have
on prem, but in a more modern context
can get them to the cloud faster and cheaper than was possible before, and without disrupting their operations in any major way.Waas founded
the company in 2013 and it took several years to build the solution
This is a hard problem to solve, and he was ahead of the curve in terms of trying to move this type of data
As his solution came online in the last 18 months, it turned out to be good timing as companies were suddenly looking for ways to move data
and applications to the cloud.He says he has been able to build a client base of 40 customers with 30 employees because the cloud service
providers are helping with sales and walking them into clients, more than they can handle right now as a small startup.The plan moving
forward is to use some of the money from this round to build a partner network with systems integrators to help with implementation so that
they can concentrate on developing the product and supporting other data repositories in the future.
