Visualizing DataStax DSE Graph
Build powerful graph & timeline tools on DataStax
Ship beautiful graph apps quickly and easily
Our developer toolkits make building graph and timeline visualization apps with DataStax DSE Graph a breeze.
Combining performance with a hassle-free developer experience, they provide a completely flexible way to create graph and timeline visualization UIs that work anywhere, on any device.
They also integrate seamlessly with DataStax DSE Graph, giving your users an intuitive and interactive way to visualize and explore the data they need to understand.
Building timeline and graph visualization tools for DataStax
Whatever your stack, we have an integration tutorial to get you started.
Learn how to create graph and timeline visualization applications that empower users to see, explore and understand the data in their DataStax DSE Graph database.
Ready to build your DataStax DSE Graph data visualization app?
DataStax DSE Graph Visualization FAQ
DataStax Enterprise Graph is a highly scalable graph database designed for enterprise cloud applications requiring a high performance back-end capable of handling very large volumes of complex and evolving graph data.
It makes use of Apache CassandraTM and Apache TinkerPopTM and is based on the open source Titan graph database.
It also delivers continuous uptime and predictable performance.
DataStax DSE Graph doesn’t have a built-in visualization tool. Instead, their documentation suggests using open-source libraries like d3.
These libraries are great for generic data visualization components, but come with a steep learning curve and lack the performance and pre-built visual graph analysis functionality most graph application developers require.
If you need a fast way to build custom and powerful graph applications, you need a dedicated connected data visualization technology like KeyLines, ReGraph and KronoGraph.
ReGraph is our React SDK for graph visualization. It offers the same performance, scalability and end-user functionality as KeyLines, but is specifically designed for React developers.
Every aspect of the SDK is optimized to feel as ‘React-native’ for the developer as possible, including fully-reactive components, state and data flow management and JSX-coded elements with clear syntax.
The timelines built with KronoGraph reveal how events unfold over time, including heatmap views, individual event views, and intelligence data aggregation.
Our tutorial shows the WebSocket approach. In this scenario, the visualization files are hosted on a web server and presented to users in the web browser. By interacting with nodes and links in their visualization chart, users raise queries to the DSE Graph database. The data is then returned to the browser as a JSON object.
Hundreds of organizations worldwide use our toolkits to make sense of complex connected data. Their industry sectors include: security and intelligence, law enforcement, fraud detection, infrastructure management and cyber threat intelligence.
If you’re not ready to get started yet, take a look at our blog. You’ll find useful information on all aspects of graph database visualization and best practice.
If you want to explore your options with other graph databases, please visit our visualizing graph databases page.
You might also find this webinar, exploring the use of DataStax and KeyLines for fraud detection, useful.