SBTB 2023: Ryan Wright, Streaming Graph Search with Quine.

ai.bythebay.io Nov 2025, Oakland, full-stack AI conference Got streaming event data? Need to join events together? That's a streaming graph search problem: find the pattern of related events to join with the next event in the stream. Joining events from streams used to require a combination of: lots of key-value caches, handling out-of-order data, time windows, accepting data loss, and changing your architecture every time the pattern changes. Quine is designed to make streaming graph search just a matter of writing a database query—and scalable to millions of events per second. Voted the "Best Open Source Project of 2022" by HackerNoon, Quine is essentially an event-triggered streaming graph database. It's most novel feature is the "standing query": graph queries that stay active, propagating efficiently and automatically as the data changes. This talk will explore how Quine works and how to use it to find complex patterns in real-time, even when they are spread out in high-volume event streams. More details available here: https://www.scale.bythebay.io/post/ryan-wright-streaming-graph-search-with-quine