Distributed AI is putting real-time data replication at the core of enterprise infrastructure

As enterprises push to eliminate latency and guarantee continuous availability, distributed multicloud architectures have become the foundation of a new data reality.

In this new world, AI is mission-critical for large organizations and the data they process. Sustaining it requires strong transaction support, consistent data and the ability to deliver inferencing power at the edge, according to Jeff Pollock (pictured, left), vice president of product management at Oracle Corp. That is driving new demand for GoldenGate, Oracle’s real-time data replication platform, to follow customers across every environment where their data lives.

“Now organizations have these AI data factories that are distributed all over the planet. They’re at the edge, they’re in the large data centers,” Pollock said. “Really, from a delivery perspective in the GoldenGate business, we have to be able to take GoldenGate where our customers are.”

Pollock and Jagdev Dhillon (right), senior vice president of GoldenGate development at Oracle Corp., spoke with theCUBE’s Dave Vellante at the Oracle Data Deep Dive NYC event, during an exclusive broadcast on theCUBE, SiliconANGLE Media’s livestreaming studio. They discussed how AI is driving the need for real-time, trusted data and how distributed multicloud architectures are reshaping data movement and availability. (* Disclosure below.)

Distributed multicloud architectures in focus

GoldenGate supports the same multicloud reach as Oracle’s database offerings, available wherever enterprises run their workloads. But its scope goes further. Unlike Oracle’s database products, GoldenGate is not tethered to the company’s data stores, making it a universal replication layer across heterogeneous environments, according to Dhillon.

“We work very well with the Oracle Database. In fact, we’re probably the best in terms of working with the Oracle Database,” Dhillon said. “We have done a lot of work integrating into the Oracle Database kernel as well, but we support all the different databases and data stores that are available on these clouds.”

However, with the so-called modern data platforms of the fifth generation, there was still a lock-in problem. In this newest generation, the focus is shifting toward openness, moving beyond the “Hotel California” issue where data can check in but never leave, according to Pollock.

“Our goal is to be able to make these platforms more open, make it a more distributed infrastructure to support these distributed AI data factories and being able to move data around real time — low latency — and making sure that customers can get egress as well as ingress out of these data platforms,” Pollock said.

Here’s the complete video interview, part of SiliconANGLE’s and theCUBE’s coverage of the Oracle Data Deep Dive NYC event:

(* Disclosure: TheCUBE is a paid media partner for the Oracle Data Deep Dive NYC event. Neither Oracle, the sponsor of theCUBE’s event coverage, nor other sponsors have editorial control over content on theCUBE or SiliconANGLE.)

Photo: SiliconANGLE