UPDATED 08:00 EDT / SEPTEMBER 18 2019

BIG DATA

SWIM enables real-time edge data analytics on Microsoft Azure

Edge computing company SWIM Inc. wants to help enterprises bring all of their data-generating assets together within Microsoft Corp.’s Azure cloud platform.

By doing so, the data can quickly be analyzed in real-time, labeled appropriately and then put to use by any Azure-based applications that require it, the company said.

SWIM is an interesting company that emerged from stealth last year. Its main product is DataFabric, which is a “software stack” for “internet of things” and other edge devices. In a nutshell, the DataFabric combines local data processing and analytics, edge computing and machine learning to deliver real-time business insights from data produced by edge devices.

Generally available starting today, DataFabric offers extremely tight integration with Microsoft’s Azure cloud. The way it works is that data from edge devices is collected, cleaned and analyzed in real-time, and then immediately labeled, before being stored in Azure Data Lake Storage. From there, it can then be used by applications that rely on Azure Power BI, or those that are built using the Azure Power Apps service. Everything is managed using the Azure IoT service.

One of the unique aspects of SWIM’s software is that it can gather data from IoT devices and create what are called “digital twins” of those devices, which can learn on their own and make predictions. Digital twins are defined by analyst James Kobielus, of SiliconANGLE’s sister research firm Wikibon, as “data constructs that mirror specific physical entities and thereby help to manage them, either through remote connection or through autonomous local operations.”

The digital twins can support various autonomous and cooperative workloads. They also can find hidden patterns in data, predict future behavior of devices and autonomously trigger fast actions at individual or multiple coordinated edge devices, the company said.

“Whether it’s a traffic light trying to predict when it’s going to change… or a machine, a conveyor belt or a motor in a factory trying to predict when it might break down, you can learn from these,” SWIM co-founder and Chief Architect Chris Sachs explained during a 2018 interview on theCUBE, SiliconANGLE’s mobile event livestreaming studio:

SWIM said DataFabric is priced based on the number of devices used or on data volumes.

Image: SWIM

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