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thatDot CEO Explains Streaming Graph to Cybersecurity Thought Leader 

thatDot CEO Explains Streaming Graph to Cybersecurity Thought Leader 

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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 Eric Kavenagh and Mark Lynd, who was ranked #1 global thought leader in cybersecurity by Thinkers360. With high-profile data breaches hitting the headlines every other day now, the way we're doing this is clearly a losing battle....

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Stop Querying Your Data

Stop Querying Your Data

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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 second. But what design decisions and tradeoffs went into making this possible? And why does it matter to data engineers and their day-to-day? Learn how Quine integrates with your event streaming pipeline (including Apache Kafka,...

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Optimize Digital Twins to Real Time

Optimize Digital Twins to Real Time

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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 connected, digital twins abstract and model almost everything to improve business operations, reduce risk, and enhance decision-making for better outcomes." "For digital twins to be truly useful, they must be able to drive actions – for...

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Understanding Batch VS Streaming Data

Understanding Batch VS Streaming Data

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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 processing is, and will remain, enormously useful for many everyday tasks. However, for all its utility,  batch processing is at odds with how the world works. Whether you are talking about financial transactions, social media...

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What is Categorical Data?

What is Categorical Data?

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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 data? Especially when it is essential to high-priority use cases like personalization, customer 360, fraud detection and prevention, network performance monitoring, and supply chain management?" To learn more read "What is...

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Understanding the Scale Limitations of Graph Databases

Understanding the Scale Limitations of Graph Databases

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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 emergence of the most recent generation of graph databases from a decade ago. Enterprises are dealing with previously unimaginable volumes of data to potentially query. That data enters and streams through the enterprise in a...

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Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest

Streaming graph analytics: ThatDot’s open-source framework Quine is gaining interest

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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 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...

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Can Streaming Graphs Clean Up the Data Pipeline Mess?

Can Streaming Graphs Clean Up the Data Pipeline Mess?

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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 himself having to rebuild the data pipeline infrastructure of multiple times, and how brittle and difficult to maintain it could be. “The more data pipelines you build, the more they start looking like the same thing,” Wright says....

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Quine Aims to Simplify Event Processing on Data in Motion

Quine Aims to Simplify Event Processing on Data in Motion

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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 lie at its foundations: a graph-structured data model, an asynchronous actor-based graph computational model, and standing queries." Check out "Quine Aims to Simplify Event Processing on Data in Motion" on InfoQ to learn...

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