In this series of blog posts, we showcase how the Linkurious SDK can help developers build enterprise-grade graph applications faster.
Part 1: Introduction to the Linkurious SDK and its security features
Part 2 (this article): Querying and displaying graph data
Part 3: Advanced interaction and styling with the Ogma graph visualization library
Graph technologies are getting more and more popular to analyze large datasets of connected data. Companies worldwide apply them to a wide range of scenarios, from fraud detection to enterprise architecture. Out-of-the-box solutions like Linkurious Enterprise have a plug-and-play approach that allows to quickly analyze and visualize graph data, but domain-specific solutions are sometimes required. However, developing a solution from the ground up calls for significant energy, resources, and time. This also creates technical challenges and risks in terms of maintainability and scalability.
With those challenges in mind, we created the Linkurious SDK to give a competitive advantage to businesses by increasing their productivity and time to market. The SDK allows to easily build graph applications that interact in real-time with existing IT ecosystems and integrate seamlessly into applicative workflows.
In the previous post, we detailed its features and went over the main components that compose the Linkurious architecture. We also covered its security framework and other key elements available to secure applications.
In this post, we explain and demonstrate how the Linkurious SDK can be used to create graph applications. We present some of the high-level services provided by the Linkurious SDK and illustrate how we can use them to build applications that take advantage of graph data.