Pervasive Software is betting its legacy technologies will help it succeed in the crowded "in the cloud" platform market.
, a 20-year-old data management and integration software vendor, is betting that its older, legacy technologies will give it an edge in a crowded "in the cloud" integration platform market.
Pervasive's DataCloud platform, announced March 25
, taps the company's flagship tool kit, the Pervasive Data Integrator, which performs a number of functionalities that really are essential to integrating applications-be they in the cloud or on premise.
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"What do you want out of a data integration tool?" asked Michael Hoskins, Pervasive's chief technology officer. "Data integration, ETL [extract, transform, load], point-to-point integrations between the front office and back office, message based [integrations] over an Enterprise Service Bus, B2B integration with EDI and the like.
"Because we have hundreds and hundreds of man hours into this stack, it allows you to build every integration you can imagine. If someone else announces a [integration] cloud and they don't have 80 years of manpower into it, they don't have a cloud."
Hoskins said that the introduction of DataCloud is really the third wave of evolution of SAAS integration for the company, which offers three deployment models. The first is a data integration engine that includes its 20-year-old, on premise integration history as well as a healthy portfolio of SAAS partners. The second wave for Pervasive was offering its integration services in the cloud to partners-something it has been doing for almost seven years.
To read more about Pervasive's entry into open source, click here.
"DataCloud is the third wave," he said. "Pervasive is hosting our own platform in our own cloud, for anyone to use. It's the final, most crucial piece of on demand integration."
You Can't Wish Away Integration
The DataCloud architecture encompasses the standards for on-demand computing: a 24/7 on-demand stack
that is services based, and both multitenant and multischema (the latter which enables separate rules, data and Meta data for each customer). Where Pervasive differentiates, according to Hoskins, is with its use of integration agents.