Graph Neural Networks for Quine

Quine 1.5 includes support for graph neural network techniques like Node2Vec and GraphSAGE. This post provides an overview and tutorial.

Quine Streaming Graph: A Year in Open Source

Since February, we spent much of our time – whether coding, writing docs, or talking to people – iteratively improving the developer experience: who is Quine built for, what jobs do they tell us they need to get done, what isn’t working for them currently, and what resources do they need to be successful.

Why Digital Twins Need to Go Real Time

For digital twins to be truly useful in business operations, they must be able to drive actions and do so the instant an issue emerges, perhaps even beforehand.

Quine 1.4.0: Scale, Stability, Supernode Mitigation

Quine 1.4.0 release includes improvements for scalability, stability, and supernode mitigation plus work key to reaching 1M events/sec.

What is the difference between batch and stream processing?

Stream processing offers the opportunity to detect important patterns in information and act in real time.

See Quine in Action: 3 Live Demos Showing Graph ETL Use Cases

Watch Quine in action. Learn about graph ETL uses cases from three recent live demos.

Optimizing Real-time Digital Twins

For digital twins to be truly useful, they must be able to drive actions – for example, issue alerts or power down equipment – the instant an issue emerges, perhaps even beforehand.

Understanding Batch vs. Streaming Data

In this special guest feature, Rob Malnati, COO of thatDot, digs into the debate between stream vs. batch processing, when it is best to use each approach, and the inevitable growth of stream processing.

Great Quine Community Events for October 2022

Upcoming Community Events – Workshops, Developer Days, and Conferences in October 2022

Scaling Quine Streaming Graph to Process 1 Million Events/Second

Learn how Quine achieves groundbreaking performance for real-time complex event processing and how you can reproduce the results.