Streaming Graphs - Real-Time Event Processing with Quine

Explore a groundbreaking approach to interpreting event stream data in this 31-minute conference talk by Ryan Wright from thatDot. Delve into the challenges of joining multiple events to form comprehensive combinations and discover Quine, an innovative open-source "streaming graph" solution. Learn how this technology combines the expressiveness of graph databases with the ability to process millions of events per second. Understand the limitations of traditional data storage methods such as RAM, relational stores, and key-value stores for complex event processing. Gain insights into how Quine's inline query execution with the event stream enables real-time answers to graph queries. Examine the architecture built on Akka with an event-sourced persistence model, and see how this reactive component can revolutionize streaming data pipelines for next-generation applications.

Streaming Graphs, Because We Can't Afford to Query Any More - Ryan Wright, thatDot