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Getting to the Qlik Core of things
June 11, 2018 Blog


If you have been using analytics for a while now, you know that it isn’t a destination, but a journey – especially at the rate things are changing to accommodate for the speed that data is being created.

Increasingly data is moving to the edge, with sensors collecting information and trying to help us paint a better view of the environment that we operate in. This could be soil humidity sensors providing information around soil quality, temperatures, humidity or insurance sensors for cars looking at driving habits and parking locations or drones overseeing large areas of land or water and translating the camera images into data feeds.

Considering these developments, the newly launched Qlik Core, made for developers, becomes highly relevant in my opinion. It allows developers to build, extend and deploy fast, interactive data-driven applications delivered at massive scale within any cloud environment.

Why is Qlik Core perfect for developers?

Embed the Qlik Associative Engine anywhere – Qlik Core is a development platform built on top of the renowned Qlik Associative Engine. Developers can now take advantage of the powerful, patented associative indexing engine to build custom data exploration and data visualisation solutions. This enables the ingestion and combination of disparate data sources, no matter how large, to come together and generate insights.  The cloud friendly architecture should allow for easier integration into projects, with its container technology allowing for a fully secure and personalised solution per tenant.

Speed and scale via Linux – The Linux-based engine allows for easier scaling and deployment – the use of containers allows for elastic expanding and contracting your topology based on usage, size of applications or spikes in demand.  Organisations can unify huge numbers of data sources for analysis and handle complex data integration scenarios without the need for external tools or data warehouses. Using the engine’s powerful in-memory processing speed results in lightning fast data processing and analytics calculations.  By delivering the Qlik Associative Engine unencumbered, developers have a much lighter-weight component to build into applications or infrastructure versus a product like Qlik Sense.

Flexibility for custom analytics – Free to be used in a wide array of solutions, Qlik Core allows developers to use the technology with both familiar and emerging technologies. It can be used to drive new types of analytics workflow decisioning where the solution has no visualizations or even to drive a search solution allowing the project to search associatively against the data within the Qlik Associative Engine. This is supplemented by its light footprint and ability to be fully embeddable in a stack in order to build and deploy a full spectrum of analytics.

Qlik recently demonstrated the power of Qlik Core with Qlik Bike, an application that sits on a Raspberry Pi edge device. It collected the rider telemetry and produces analytics for the rider on a heads-up display. Simultaneously it shared summarised stats to a Qlik Core deployment in the cloud, linking up multiple bicycles across geographies for an overall view where riders can compare themselves with others. This reinforces the fact that the possibilities for Qlik Core are up to a developer’s imagination. I expect to find many new applications of the Qlik Associative Engine through the innovations the developer/non-BI oriented community will bring.