Exploring data as a graph and using graph algorithms in analytics opens up a lot of more use cases to gain more insights from relations and hidden patterns inside the data. Combining both relational and graph data analytics under one hood seems to be a promising goal. I started in 2011 to integrate graph data from Neo4j into QlikView and since then I developed a couple of extensions (custom web based visualization components) for QlikView and Qlik Sense using several graph visualization libraries (d3.js, graphdracula.js, sigma.js, alchemy.js, vis.js).
Linkurious’ product had attracted me for a while because of its feature richness and appealing graph layout and interactivity. The integration of the whole product into Qlik was a first idea but probably too complex. With the release of Ogma library, the graph visualization component of Linkurious, this seemed to makes more sense now.