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.

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.

DBTA: thatDot Launches Streaming Graph Platform

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.

VentureBeat: thatDot accelerates streaming data analytics with open source Quine

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.

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.

Announcing Open Source Release of Quine Streaming Graph

thatDot Releases First Open Source Software to Combine Complex Event Streaming and Graph Data Technologies for Data Pipeline Engineers

The World’s First Real-time Novelty Detector For Categorical Data

thatDot is excited to share the general availability of the world’s first system for real-time categorical anomaly detection.

The Three D’s of Graph Data

Draw Connections, Define Data, Drill Down

thatDot Raises Funding To End Microservices Complexity

thatDot, announces a $2M funding round led by Oregon Venture Fund (OVF), with participation by Hale Capital Partners and Galois, Inc.

Introducing thatDot

That word… ”that.” It’s how you point with a word. What better way to express what you mean than by directly pointing?