Kapow Software Launches Kapow Katalyst 9.1 to Support the Build Your Own App Movement

Kapow Software has introduced Kapow Katalyst Application Integration Platform 9.1. The new release is intended to help organizations simplify and manage integration and big data, and support the rise of “Build Your Own App” initiatives, with a flexible and predictable model to meet changing market demands and business requirements.

“Companies are more focused than ever on top-line growth. Corporate leaders are looking to improve sales and marketing effectiveness without stringing together disparate systems, hiring consultants, tying up valuable IT resources or spending too much on capacity for worst-case scenarios,” says John Yapaola, CEO of Kapow Software. “Katalyst 9.1 was designed specifically to address these concerns and enable a more singular focus on business growth.”

Kapow Katalyst 9.1 aims to help SMBs and enterprises access, connect and make sense of legacy, cloud, social, and big data sources and put that business intelligence into the hands of the people responsible for growing the topline; most notably sales and marketing organizations.

Kapow Katalyst 9.1 features include more flexible, intuitive Kapow Kapplets with improved usability and data visualization that eliminate the need for complex warehousing, mining and BI tools. With Kapow Kapplets, enterprises can access and integrate applications like Salesforce, Oracle, SAP, Linkedin, iProfile, Pipl, twilio, Twitter, Zoominfo, XML, SMS and email.

In addition, Katalyst 9.1 offers a new software licensing model that scales to companies’ capacity requirements, while leveraging existing investments in virtual server infrastructure; a new on-demand “compute unit” license model for more flexibility and usage-based pricing; elastic virtual runtime environment that can be deployed independent of hardware configuration, whether integration solutions are located in the cloud, on-premise or in a hybrid environment; dynamic allocation of compute capacity with automated load distribution and failover for improved reliability and flexibility; and enhanced data mapping that boosts productivity when using XML and web service.

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