thatDot Quine
Quine Open Source
The open source graph stream processing engine that powers thatDot products.
Product Overview
Quine Open Source Graph Event Stream Processor
Quine allows developers to combine multiple event streams into a single graph, query for complex event relationships to identify high value patterns, and take an action in real time.
Quine is an open source application invented by thatDot’s founder and developed for years in a DARPA project to find difficult to detect cybersecurity threats. Unlike every other event stream processor on the market, it is not limited to looking at data only in certain time windows. A Quine standing query can find the pattern you’re looking for, even if part of it occurred 3 years ago, part a microsecond ago, and part next week.
See the Quine.io website for more extensive information on open source Quine.
Join the Quine Discord community.
Power of thatDot Streaming Graph
One of the unique strengths of Quine is that you can work with it and develop a commercial application in it for free. It is a true open source application with no time limits and a generous license. The capabilities of streaming graph data refinement and analysis are all there. Graph level understanding of the data allows deep analysis such as cybersecurity threat detection or financial risk calculation or fraud prevention at the speed of an event stream processor. Go from a crowded event stream to a pure stream of insights in minutes.
Scale When You’re Ready
Every thatDot product has Quine at its heart. When you need to scale the work that you did on open source Quine to a commercial level, you can move any recipe, application, etc that you did, without modification, from Quine to thatDot Streaming Graph. No re-work required.
When Moving Up from Quine to Streaming Graph
Get commercial support, unlimited distributed cluster scaling, and multi-tenant namespaces on top of the graph event processing power that Quine already supplied.
DO NOT get a big porting hassle, the necessity of throwing out your hard work and doing it over in a new application, or having to reinvent queries and workflows that were already working.
Recent posts
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Stream Processing World Meets Streaming Graph at Current 2024
The thatDot team had a great time last week at Confluent’s big conference, Current 2024. We talked to a lot of folks about the power of Streaming Graph,…
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Streaming Graph for Real-Time Risk Analysis at Data Connect in Columbus 2024
After more than 25 years in the data management and analysis industry, I had a brand new experience. I attended a technical conference. No, that wasn’t the new…
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Cypher all the things!
Uses for individual data engineering technologies are often broadened to more than just interacting with databases. The same goes for graph database techniques and, specifically, the leading language…
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