Qlik Software Creates Developer Edition of Data Visualization Platform

Qlik Software today moved beyond its core base of business intelligence (BI) application users to make available a developer edition of its data visualization software based on an open setoff RESTful APIs.

Announced at the Qonnections 2015 conference, the developer edition of the Qlik Analytics Platform gives developers direct access to the underlying QIX data indexing engine that Qlik uses to generate data visualizations.

In addition, Qlik Software is including APIs for accessing backend management, governance and security services along with an application toolkit to create data models, build expressions and invoke the Qlik charting engine.

The developer edition is intended to foster the creation of applications that will be shared via Qlik Branch, an open source project though which Qlik Software fosters the sharing of open source visualizations and applications that invoke the Qlik Analytics Platform.

In addition, Qlik Software today formally launched Qlik DataMarket, an online resource hosted on Amazon Web Service through which organizations can share data that Qlik Software acquired last year. In fact, Qlik Software claims that 200 data providers have already contributed over 100,000-plus data sets to Qlik DataMarket.

Josh Good, director of product marketing for Qlik Software, says that company is trying to create an ecosystem around its core data visualization platform at a time when organizations are now regularly sharing data via open APIs. The challenge that many developers face is that there is no shortage of accessible to data, but finding a way to render that data in a way the average end user can comprehend the insights hidden in that data is challenge. Rather than reinventing the data visualization wheel, Qlik has created a developer platform based on open APIs that makes it simpler for developers to incorporate BI inside any application environment.

In addition, Good says that Qlik Software also makes available a broad range of connectors to backend enterprise applications to facilitate that process.

Obviously, BI applications that create massive amounts of data and open APIs should be joined at the hip. Data created inside a BI application is only of real business value when it can be programmatically shared both inside and out of organization. As such, most of the providers of BI and data visualization software are trying to increase their appeal to both developers and end users alike. Of course, at a time when the line between professional developers and “citizen developers” continues to blur it’s increasingly harder to distinguish between who is a developer and who is an end user these days.
 

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