
The Secret Ingredient in the Alphabet Soup of Cybersecurity
This is the first in a series of blogs exploring how the Quine Streaming Graph analytics engine is the secret ingredient in the Alphabet Soup of cybersecurity, enabling faster, more accurate detection of complex threats without compromising on the type or volume of...

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, an event stream processor with a graph data model.

Streaming Graph Get Started
It's been said that graphs are everywhere. Graph-based data models provide a flexible and intuitive way to represent complex relationships and interconnectedness in data. They are particularly well-suited for scenarios where relationships and patterns are important,...

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 thing. At many conferences, I’ve been surrounded by data scientists, business analysts, data engineers,...

The Power of Real-Time Entity Resolution with Ryan Wright
This lightning talk will highlight two approaches to real-time entity resolution on streaming data using the Quine streaming graph.

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 for building and querying graph databases – Cypher.

thatDot CEO Explains Streaming Graph to Cybersecurity Thought Leader
Briefing Room on demand webinar on thatDot Youtube channel: The Unreasonable Effectiveness of Streaming Graph thatDot founder and CEO Ryan Wright discussed the power of thatDot Streaming Graph and Novelty to detect the most well-hidden threats with the Bloor Group's...

Streaming Graph Processing on Categorical Data Enables Real-time Risk Calculation
The failure of Silicon Valley Bank in 2023 exemplifies the severe consequences of not accurately assessing risk in a timely manner. Although nearly every financial institution prioritizes risk minimization, their methods for calculating risk often rely on detailed...

Akka to Pekko Migration for thatDot and Quine
Discover how thatDot’s migration to Pekko from Akka not only ensured functionality and community support but also reduced maintenance burden, avoided extra expenses for SAAS products, and provided access to new libraries and community releases.

Release Announcement for thatDot Streaming Graph 1.6.1 with ClickHouse Persistor
View the latest release of thatDot Streaming Graph (v1.6.1), highlighting new features such as data persistence in ClickHouse, namespace management, robust Kafka integration, simplified queries, and error fixes related to Cypher query compilation.