One of the fundamental advantages of Quine’s architecture compared to other complex event stream processing technologies, like Flink and ksqlDB, is that it is not constrained by time windows. We demonstrated the value of this capability in the “Are You Ready for Low...
A Major Release Fast on the Heels of A Major Milestone Today marks the release of Quine 1.4.0 with significant improvements made to resource utilization and developer experience. This release impacts both the open source and enterprise versions of Quine and is not...
(This post is modified from a version that ran in RT Insights Oct 13, 2022.) Quine streaming graph was built to analyze event streams in real time and drive event pipelines. Now our users are coupling them with digital twins and asset graphs to create accurate,...
Note: If you want to reproduce this test, we have published the test details on Github so that you can understand and run it yourself. Solving the Unsolvable: Graph that Scales Past 1 Million Events/Second This is not a blog post about benchmarking Quine streaming...
A Live Event Stream, a CDN, and a Manifest Services Provider Walk into a Bar Video observability, or the end-to-end monitoring of complex video streaming architectures, entails some of the most challenging aspects of data engineering. A live event will usually...
