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Wednesday, September 19, 2018

Qlik Delivers Qlik Core To Help Developers Innovate Through Analytics


As organizations look to expand the value of analytics, developers are playing a key role in creating new and innovative answers to big data and IoT challenges through advanced custom analytics. Qlik is committed to helping developers take on any business need they can imagine more easily through analytics in all its forms. Today Qlik reconfirmed that commitment by expanding the developer analytics canvas with the general availability of Qlik Core, the company’s platform for building new classes of data-driven applications leveraging the Qlik Associative Engine.

“Developers are designing analytics offerings for the most cutting edge IoT and big data applications.  Qlik is helping these most imaginative efforts come to life,” said James Fisher, Qlik Senior Vice President, Strategic Marketing. “Qlik is putting forth real-world tools and services to truly enable developers to create new data-driven applications on a proven analytics platform.”

Qlik Core delivers the Qlik Associative Engine through a developer-focused model purpose built for the cloud, leveraging Linux and a containerized approach for the engine, along with supporting open APIs and open source libraries for integration into non-dashboard projects. Developers can now quickly and easily embed analytics at the network edge or within any analytic workflow along a process, be it physical manufacturing elements, IoT devices, logistical supply chain touchpoints or financial transaction points. Qlik Core includes:

• A complete set of APIs allowing integration into a wide range of applications to drive visualization, decision making, process flow, alerting, search and other actions;
• Open source libraries such as halyard.js for data loading, enigma.js for interacting with the Associative Engine, and picasso.js for incorporating Qlik’s open source data visualization framework operational support system, as well as a library to link with external systems;
• Flexibility to easily integrate with existing application architecture elements including security, deployment, provisioning and management;
• Built in support for Amazon Web Services (AWS), Microsoft Azure and Google Cloud Platform (GCP) through Docker containers; and
• The ability to be managed with Kubernetes for implementing, scaling and managing containerized applications.

“The open source and container approach to Qlik Core helped us directly embed the Qlik Associative Engine at the heart of our workforce applications. The engine’s power to aggregate and execute on multiple data types and sets pushed the applications well beyond the customer’s initial needs,” said Konstantin Sarattsev, CEO of Goodt. “Qlik Core’s design let us quickly and easily develop a set of retailer specific applications for people management, workforce scheduling and sales performance, revealing the potential of Big Data in HR.”

Qlik Core extends the company’s portfolio of developer platforms for supporting a broad range of analytical use cases and environments. Also available to developers, the Qlik Analytics Platform includes more end-user visualization capabilities to speed the delivery of more custom and embedded visual and dashboard analytical applications.

“There is no one size fits all analytical tool. That’s why Qlik has invested so heavily in its platform, community and open-source components, with layers of capabilities that unlock the value of data in any imagined environment, across the broadest range of use cases,” said Fisher.

The general availability of Qlik Core coincides with the website relaunch of Qlik Branch®, the 30,000+ Qlik developer community. Along with the recent debut of the Qlik Trusted Extension Developer (TED) program, Qlik continues to build out its overall developer experience and support for the growing analytics open source community. From hands-on products, to extension accreditation and a community where developers share experiences and build together, developers have a partner in Qlik along the entire journey from ideation and concepting to full innovation through analytics. 

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