Kapow Technologies is the expert at harvesting mashable public and private web intelligence, providing software that turns the Web into the world's largest database. Based on the company's patented, visual scripting method, the Kapow Mashup Server powers solutions in reputation management, competitive intelligence, content aggregation, content syndication, SOA enablement and business automation at a fraction of the time and cost compared to traditional software methods. As the number one solution in its class for three years running, the Kapow Mashup Server has attracted more than 250 clients such as AT&T, Bank of America, Wells Fargo, CSFB, Intel, Vodafone, Audi, DHL and SimplyHired, with partners such as BEA Systems, IBM and Oracle.
The Kapow Mashup Server is designed to automate the collection of data and web content from any source on the private or public web. A number of different Editions are available on a subscription basis, that optimize the integration of web content into your existing applications and middleware infrastructure, transforming your company into a web-aware enterprise.
Data Collection Edition
Automates the end-to-end process of collecting public or private web intelligence, aggregating and transforming, converting the data into a structured form, and reading/writing to any SQL database. Includes wizards for direct integration into WebSphere, WebLogic, or Java and .NET developer environments.
Web 2.0 Edition
Provides a lighter-weight solution for the collection of web intelligence from the public web. This product supports a collaborative approach that enables easy development, discovery, and re-use of REST services and RSS/Atom feeds across multiple department or workgroups.
Portal Content Edition
This Edition is designed to allow easy “point-and-click” clipping of web content, and to facilitate quick portlet-based publishing of this content into a variety of commercially available portal servers.
Content Migration Edition
Automates large-scale migration of content between Content Management Systems, resulting in cost reductions of 70% or more, compared to manual methods. Eliminates the traditional, expensive, cut-and-paste approach to migration of content between or into ECM systems, reducing the need for human intervention significantly.
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