ATLANTA – March 18, 2026 – Today at FabCon 2026, Fusion Data Hub announced the Fusion Data Hub workload GA on Fabric, a new industrial data integration solution built directly into Microsoft Fabric, now available to all Microsoft Azure customers. Fusion Data Hub workload GA on Fabric is the first partner-led, purpose-built Fabric workload for ingesting Operational Technology (OT) data from manufacturing and industrial systems to the cloud.
This launch marks a major milestone in enabling real-time, AI-ready industrial analytics at scale, unlocking OT data trapped in legacy on-prem systems and bringing it into the unified Fabric platform.
Fusion Data Hub workload GA on Fabric or Fusion Data Hub 3.8 is integrated into Fabric as the first custom workload on Fabric’s Real-Time Intelligence platform. This deep integration means that industrial time-series and event data – previously siloed in historians, SCADA systems, and IoT devices – can now flow directly into Fabric’s unified analytics environment. Within Fabric, Fusion-managed data is stored in customer’s OneLake with full governance, enabling secure, centralized access for analytics and collaboration. Users can take advantage of Fabric’s tools and Copilot capabilities in Fabric features to create agents and interact with live operational data, gaining real-time insights and automated intelligence from formerly isolated OT systems. Fabric’s SaaS based integration model also significantly reduces deployment overhead allowing new features and updates to roll out rapidly to customers, cutting down deployment times and delivering the latest capabilities almost immediately.
“This release marks a major milestone for Fusion. We’ve designed the Fusion Data Hub Workload on Fabric to deliver governed, real-time operational data pipelines natively into Microsoft Fabric. For industrial companies, it means data from historians, SCADA, and sensors can now feed Real-time Intelligence in Fabric, empowering dashboards, alerting, and AI-driven analysis in real time.” – Massimo Galli, VP of Global Partnerships at Fusion Data Hub.
Dipti Borkar, Vice President and General Manager of Microsoft OneLake and Fabric ISVs, Microsoft said: “With the general availability of the Fusion Data Hub workload on Microsoft Fabric as the first custom workload on Real-Time Intelligence, we’re transforming how industrial customers in energy and manufacturing unlock insights from their operational data by bridging the gap between OT and IT, making contextualized time-series data available for real-time intelligence and breaking down data silos that have kept critical information locked in on-premises systems and disparate platforms across the cloud. This workload unifies analytics with AI capabilities like Fabric Copilot, empowering customers to make faster and more informed decisions.”
Customers running Fusion Data Hub v3.6 or earlier can seamlessly migrate their data from Azure Data Explorer (ADX) to a Fabric Eventhouse. This approach simplifies and accelerates adoption of Fabric Real-Time Intelligence while eliminating the need to maintain duplicate datasets on ADX and Fabric
The migration process is designed to preserve data continuity, ensuring no data loss as customers transition their operational workloads to Microsoft.
Fusion Data Hub will continue to support Azure Data Explorer as the core analytics engine for time-series OT data, allowing industrial datasets to be stored and queried at scale in Azure. For those customers, we have released Fusion Data Hub v3.8 which uses Azure Data Explorer, ensuring they can continue to harness Fusion’s capabilities on Azure. This parallel support reflects Fusion’s commitment to a smooth transition – organizations can choose to migrate to Fabric’s RTI at their own pace without disrupting ongoing operations.
Fusion Data Hub provides a secure, scalable data pipeline that rapidly transfers industrial data from the plant floor to the cloud. It securely delivers OT data to your cloud environment, enabling AI/ML insights in a matter of weeks. The platform is designed for scale and rapid deployment – it can ingest millions of time-series data points per day, thanks to its cloud-native architecture. Fusion’s architecture ensures high reliability and security: data is streamed through encrypted channels and landed in the customer’s cloud tenant (Fabric OneLake or Azure), under the enterprise’s control and compliance policies. Importantly, Fusion doesn’t just move data – it also contextualizes it. As data is ingested, Fusion imports asset hierarchies, metadata, and data models, turning raw sensor and historian points into context-rich information aligned with enterprise datasets. This contextualization provides operational teams with meaningful insights (e.g. equipment names, asset locations, units, and engineering context) rather than just tag numbers, thereby streamlining analysis and decision-making. Ultimately, Fusion’s robust, cloud-based solution built on Fabric enables industrial customers make faster and smarter decisions by ensuring that high-quality OT data can be unified with IT data and is readily available for analytics, machine learning, and AI-driven applications.
A key strength of Fusion Data Hub is its library of first-party connectors for popular industrial data systems, which ensures reliable data acquisition from the source. These connectors natively link to OT systems without custom code, simplifying integration. Currently, Fusion can collect and stream data from the following sources:
Each connector is built and maintained by Fusion, ensuring compatibility with source system protocols and efficient, lossless data capture. By using these out-of-the-box connectors, organizations can rapidly onboard data from heterogeneous OT environments into the Fusion Data Hub, with assurance of data integrity and minimal need for custom integration work. This breadth of connectivity means Fusion can unify fragmented industrial datasets across a facility or enterprise into one cloud platform, preserving the necessary context from each source system during transfer.
Fusion Data Hub workload is now available in Fabric and can be deployed from within the customer’s Fabric tenant via native workload configuration.
About Fusion Data Hub
Fusion Data Hub is a Canadian cloud-native data integration platform built for industrial operations. Fusion Data Hub is part of Manos, a division of Valsoft Corporation.
https://www.fusiondatahub.com/
About Valsoft
Established in 2015, Valsoft acquires and develops vertical market software companies, enabling each business to deliver the best mission-critical solutions for customers in their respective industries or niche. A key tenet of Valsoft’s philosophy is to invest in well-established businesses and foster an entrepreneurial environment that molds companies into leaders in their respective industries. Valsoft looks to buy, hold, and create value through long-term partnerships with existing management.
There is a need for what we call the Industrial Analytics Hub. The central place where industrial or operational analytics need to be run off of. That’s the space that we are focused on. This is what our customers are looking for. They’re looking for a single solution that gives them the ability to run operational analytics in their Azure environments.
So what’s operational efficiency?
The ability to do the same thing faster or produce a much higher quality out of the same products that they make today.
How is that market changing?
Previously, it was all on a site-by-site basis. They are looking to now centralize all that functions in one place. The primary need that the customers have is to move from old data center-based infrastructure to a scaling infrastructure like Cloud like Microsoft Azure.
Uptake Fusion
Our solution Uptake Fusion is extremely securely designed to be able to align the control plane of Azure to the demilitarized zones within the client and completely comply with their requirements for security. The amount of volume of data is so high that there has to be a very unique way of pushing that data into Cloud. This is something that we do extremely well and it’s a differentiator for us. We organize all such data in a hierarchical form in a form that is consumable directly and it’s reflective of the actual side or plant in one place. These three together make our Uptake Fusion very unique. One of our market customers in the oil and gas space. They came to us looking for a solution. Today we have stood up for this particular client at over 23 locations bringing 6.5 million data tags coming in in a matter of seconds into the cloud. So you’re thinking of billions and billions of data points per day that is being delivered into Azure. That is almost unheard of in the industry.
There are three unique things about Microsoft Azure for us.
So it’s a very good partnership for us that as Microsoft starts to focus a lot more into the manufacturing and the process industries, we are an extremely important offering for Microsoft to be able to achieve its growth, the targets, and its ability to scale within the OT environment.
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