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Victor Dabrinze, SiliconANGLE
Data is the lifeblood of today’s enterprises and an integral component of artificial intelligence operations, large language models and analytics. As data becomes increasingly central to operations and decision-making, companies must adopt data platforms that offer flexibility, real-time analysis and strategic value.
“You think about the way a database was invented, basically it’s a storage device,” said Kirk Dunn (pictured), chief executive officer of Kurrent Inc. (formerly Event Store). “The “what” is a storage element. It’s that you’ve stored a bit of data. Why did it get created? How did it get created? Is it related to other elements? What Kurrent is all about is exposing the how, why and when to the what so that you can really understand what that data means to your organization and then use it in other ways as you would choose.”
Dunn spoke with theCUBE Research analyst Shelly Kramer during an AnalystANGLE segment on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed the vital role of data platforms, emphasizing how they can streamline operations and create competitive advantages.
Kurrent brings advanced capabilities to data platforms
Businesses are driven by events — whether it’s a customer purchasing a product or a supply chain interaction. Kurrent’s platform acts as an append-only log, tracking every event as it occurs, providing a comprehensive picture of business operations in real time, Dunn explained.
“Are you storing that data and it’s just sitting there in its classic rows and columns or graph or some other form of key-value store?” he asked. “Is it just sitting there or are you getting that data moving so that you can teach those models using that data and they can be up-to-date? Because the key to any data creation isn’t that you’re creating the data. It’s how quickly and how available it is to the other applications downstream to be used effectively.”
This event-native approach is critical in today’s business environment. Kurrent enables enterprises to capture, log and stream data seamlessly for downstream applications such as AI model training, analytics and decision-making processes. This ensures that data is not just archived but actively contributes to enhancing business intelligence and performance, according to Dunn.
“We built a product from scratch that logs every activity from origin,” he said. “It’s native to us to capture everything in the system. And we think that’s instrumental to how you would want to use the data downstream and in the future. That’s a fundamental variation on the operational database theme that we’ve added.”
The speed at which businesses need to process and utilize data has never been more critical. In sectors such as finance, healthcare, oil and gas and manufacturing, organizations must access and act on data immediately to remain competitive. The ability to generate data, understand it in context and rapidly move it to where it’s needed is fundamental to success. Kurrent’s architecture is built around this premise, Dunn stated.
“In the good old days when applications were vertically integrated, you would be inside of an enterprise and you would build the application and it would serve only your organization,” he said. “The Uber example is a good one because now applications are inside and outside of an organization. They’re loosely coupled. Uber doesn’t manage the pizza place that the person goes and picks up the pizza from, but somehow they’re able to integrate data and send information based on the requirement.”
Here’s the complete AnalystANGLE segment: