Graph Databases

Streaming Graph for Real-Time Risk Analysis at Data Connect in Columbus 2024

Streaming Graph for Real-Time Risk Analysis at Data Connect in Columbus 2024

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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, mathematicians, developers, startup founders, CTO’s, architects, and PHD students, made network connections, listened to giants in the field, like the Chief of Information Management of the United Nations at this one. But, uniquely,...

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Cypher all the things!

Cypher all the things!

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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.

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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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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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