
Microservice Hell: The State of the Art in Streaming Services
Exploring the challenges of data processing in microservices, the article introduces thatDot’s Streaming Graph, which seamlessly integrates various data sources like Apache Kafka, AWS Kinesis, and more.

Novelty Demo
Novelty Tutorial https://youtu.be/JuvAjtTmLa8?feature=shared This 12 min video demonstration walks through a Jupyter notebook powered scenario illustrating how to use thatDot Novelty to analyze CDN logs for anomalous activity. Click here to download the CDN dataset...

Stop Querying Your Data
At the 2023 Knowledge Graph Conference in New York, Ryan Wright, CEO and Founder of thatDot, gave a presentation entitled: Streaming Graphs: Because We Cannot Afford to Query Anymore. Quine streaming graph can process millions of complex, multi-hop graph events per...

Optimize Digital Twins to Real Time
On RTInsights, thatDot's Rob Malnati writes about digital twins. This article provides a solid foundation as to what digital twins are, what they're used for, and how streaming graph technology can make them more effective. "As our world becomes increasingly...

Understanding Batch VS Streaming Data
In this article on InsideBigData, thatDot's Rob Malnati discusses the evolution of data architectures from batch toward a more real-time representation of the world. Often, this new way of dealing with data is essential as data processing demands change. "Batch...

What is Categorical Data?
On datanami, thatDot founder and CEO Ryan Wright helps define the nature of categorical data. This essential data type makes up about three quarters of all data an enterprise needs to analyze, yet is often not analyzed. "Why would enterprises ignore an entire class of...

Understanding the Scale Limitations of Graph Databases
In this article on eWeek, thatDot's Rob Malnati discusses why it'd difficult or even impossible to analyze really large datasets using graph databases. The difficulty is compounded by the modern need to respond to everything in real time. "Much has changed since the...

Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest
Streaming Graph Analytics, and what it does. In this article on Venturebeat, George Anadiotis discusses the power of Quine, the increasing interest in the concept of streaming graph, and the influx of thatDot funding from cybersecurity leader Crowdstrike. "What do you...

Can Streaming Graphs Clean Up the Data Pipeline Mess?
In this article on Datanami, Alex Woodie discusses the problems with current event stream processing data pipelines, and the advantages a graph paradigm could bring to the table, with thatDot technology spotlighted. He talks about how thatDot's Ryan Wright found...

Quine Aims to Simplify Event Processing on Data in Motion
On InfoQ, Sergio De Simone talks about the advantages of the streaming graph style of data processing, and of Quine open source software in particular. "What sets Quine apart from other stream processing solutions, says thatDot, is a set of three design choices that...