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.
Briefing Room on demand webinar on thatDot Youtube channel: The Unreasonable Effectiveness of Streaming Graph
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...
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 ...
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 An...
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 g...
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...
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 compoun...
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 ne...
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.
On VentureBeat, Shubham Sharma writes about thatDot's announcement of open source software Quine for streaming graph complex event processing. He discusses, among other things, ...
On TechCrunch.com, Frederic Lardinois talks about the launch of Quine open source streaming graph complex event processing engine.
“Enterprise data engineering teams are confined to the limitations and tradeoffs of the previous generation of event processing frameworks like Flink. They spend enormous time a...