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Updated InetSoft Data Intelligence Platform Boosts Client Access

HTML5 client eliminates need for mobile native apps, eliminates Flash requirement for PCs.

Note: TDWI’s editors carefully choose vendor-issued press releases about new or upgraded products and services. We have edited and/or condensed this release to highlight key features but make no claims as to the accuracy of the vendor's statements.

InetSoft Technology has announced the availability of version 12.2 of its data intelligence platform, Style Intelligence, and its sub products, Style Scope and Style Report. Two major advances are offered with the first being the full maturation of the HTML5 technology for browser-client access to match what previously was only possible with a Flash plug-in. The second is to fully integrate Apache Spark’s Hadoop technology as the foundation for big data usage.

Because the HTML5 client has advanced, the native apps for Apple iOS and Android have been retired. This server-side-driven solution makes mobile BI roll-outs easier and reduces end-user support; downloads or updates are no longer required. This advance also expands access capabilities for Mac users. Finally, it meets the requirements of organizations that have prohibited Flash plug-ins for end users.

The adoption of Apache Spark/Hadoop as InetSoft’s big data infrastructure updates the method of scaling up for larger data sets, regardless of data source, and larger user populations from a proprietary clustering implementation to an open standards-based one developed by Spark. This means the application’s analytics engine is built to scale from a standalone server to a limitless big data cluster.

Administrators have the option of installing a built-in, dedicated Spark/Hadoop cluster or pointing to an existing shared cluster. This open standards-based agile architecture allows organizations to grow into big data gradually as data volume and complexity increases. InetSoft’s advanced visual analytic engine will automatically configure and manage big data cluster according to user-defined visual analytics. This dramatically reduces the big data skills required to deliver big data's power into users’ hands.

“This is an exciting release because it further lowers the TCO of our solution and widens the end-user adoption possibilities,” comments Mark Flaherty, CMO at InetSoft. “Getting end-user support cost savings by upgrading a version should be welcome news for our installed base. In terms of the Spark technology move, this is compelling not only because of its attractiveness to organizations that already use Spark but because organizations with ‘small data’ environments now have such as an easy path to growing into big data ones as their own datasets grow organically in size. Not only do they not have to worry about outgrowing a solution but they don’t have to worry about spending on new expertise and tools later to accommodate their growth.”

InetSoft's Style Intelligence is a data intelligence platform. At its foundation is a data mashup engine that enables transformation of data from disparate sources, which can either supplement or eliminate a data warehouse solution. At the development level, a unified interface allows for easy and advanced data manipulation and design of interactive dashboards, visual analyses, and published reporting. At the consumption level, self-service is maximized for a range of users, from casual business or consumer-type browsers to power users and data scientists.

As a cloud-ready, fully scalable enterprise-grade platform with granular security, multi-tenancy support, and multiple integration points, it serves both enterprises and solution providers. In either environment, ease of deployment and ease of use are chief development principles that help lower the time investment and total cost of ownership and make the solution attractive to organizations of any size, with or without BI expertise.

To learn more about InetSoft’s Style Intelligence please visit

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