Understanding thatDot Streaming Graph

Stream processing and event-driven microservices are complicated! They’re complicated because they combine the hardest problems from the database domain with the hardest problems from the distributed systems domain. Learn how 7+ years of deep R&D enables the Quine Streaming Graph to solve these challenges.

GET the streaming graph WHITEPAPER

Streaming Anomaly Detection with Categorical Data

Detecting interesting data among a vast sea of otherwise non-interesting data is an important problem with many applications. thatDot is offering a unique new anomaly detection technology to calculate “novelty scores” in streaming data using our patent-pending technology ,developed with funding from DARPA.

GET the novelty Detector whitepaper

Learn more about Quine

Quine is the open source streaming graph interpreter at the heart of the thatDot platform. You'll find user docs, Quickstart guides and easy-to-use recipes that address specific use cases at the website.


Featured Press

April 28, 2022

Venture Beat Covers Crowdstrike Investment in thatDot

Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest and is potentially a game-changer, according to George Anadiotis.

What do you get when you combine two of the most up-and-coming paradigms in data processing — streaming and graphs? Likely a potential game-changer, at least that’s what is being hinted at by the likes of DARPA and now CrowdStrike’s Falcon Fund, which are betting on ThatDot and its open-source framework Quine.
March 28, 2022

Can Streaming Graphs Clean Up the Data Pipeline Mess?

Datanami's managing editor Alex Woodie delivers a detailed yet clear overview of Quine streaming graph, why we built it, and what it does.

The previously separate worlds of graph databases and streaming data are coming together in an open source project called Quine... capable of returning Cypher queries on flowing data at the rate of a million events per second, which he says could eliminate the need to build and maintain elaborate data pipelines.
March 11, 2022

InfoQ: Quine Aims to Simplify Event Processing on Data in Motion

InfoQ's Sergio de Simone delivers a perceptive overview of Quine's architecture and importance, written from a developer's POV.

Developed at thatDot, Quine is an open source streaming graph solution aimed at high-volume event processing. Quine combines graph data and streaming technologies to enable the creation of real-time, complex event processing workflows at scale, says thatDot.
February 23, 2022

TechCrunch: thatDot launches Quine, a streaming graph engine

TechCrunch's Frederic Lardinois does a great job capturing the reason why there is urgency in the market for streaming graph.

Most current solutions, he argues, would be able to maybe handle a few thousand events per second, but the kind of customers thatDot is talking to would need a solution that can handle 250,000 events per second and Wright is confident that Quine can handle that — and a lot more.
February 23, 2022

VentureBeat: thatDot accelerates streaming data analytics with open source Quine

VentureBeat wrote a great summary of Quine on the day of our announcement.

The offering comes as the answer to event processing frameworks such as Flink. Ryan Wright, the cofounder of ThatDot, notes that these previous generation solutions come with various limitations and spend enormous time — on the scale of months.

February 23, 2022

DBTA: thatDot Launches Streaming Graph Platform

Coverage of the Quine launch by Stephanie Simone, Managing Editor of Database Trends and Applications.

Quine can transform months of tedious data engineering into an afternoon’s work enabling data pipeline engineers to easily interpret high-volume event data streams, innovate and ship products  faster, and to use the emerging Graph AI tools driving the next wave in machine learning.