List of Microsoft Azure Stream Analytics Customers
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United States
Since 2010, our global team of researchers has been studying Microsoft Azure Stream Analytics customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Microsoft Azure Stream Analytics for Analytics and BI from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Microsoft Azure Stream Analytics for Analytics and BI include: Microsoft, a United States based Professional Services organisation with 221000 employees and revenues of $243.00 billion, RHI Magnesita, a Austria based Manufacturing organisation with 29207 employees and revenues of $4.08 billion and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Stream Analytics, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Microsoft Azure Stream Analytics customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Microsoft | Professional Services | 221000 | $243.0B | United States | Microsoft | Microsoft Azure Stream Analytics | Analytics and BI | 2019 | n/a |
In 2019 Microsoft deployed Microsoft Azure Stream Analytics as a core streaming layer for an AI driven finance chatbot initiative aimed at rearchitecting the Procure to Pay process. This implementation placed Microsoft Azure Stream Analytics inside an Analytics and BI footprint to centralize streaming telemetry and big data processing across finance services and to support conversational automation within procurement and payment workflows.
The implementation consolidated 16 discrete Procure to Pay services into a single end to end user experience layer, and instrumented conversational and analytics capabilities using Azure Bot Service, Microsoft LUIS also known as Language Understanding, QnA Maker, Microsoft Azure Cognitive Services, and Azure Text Analytics. Microsoft Azure Stream Analytics handled live stream processing, feeding downstream analytics in Azure Databricks and Azure Data Lake Storage while Application Insights and Kusto provided Live Site monitoring and diagnostics. Micro services built on Azure Service Fabric abstracted system complexity and exposed APIs and master data to the unified UX.
Integrations were explicitly implemented with Azure Event Hubs for ingesting event streams, with multiple user channels including Cortana for interaction, and with the broader Microsoft cognitive and bot services stack to enable intent detection and context switching. Operational ownership rested with Core Services Engineering and Operations and the Microsoft Finance Engineering team, focused on finance workflows for procurement and payment across the organization.
Governance and process changes emphasized a shift from a system centric collection of siloed apps to a user centric, AI first services oriented architecture, with bots designed to determine user intent, move fluidly across contexts, and perform process actions to reduce manual handoffs. The architecture was designed with scalability in mind and integration points to many vertical services, and the stated objective was to simplify employee experience and provide important information with fewer clicks.
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RHI Magnesita | Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Stream Analytics | Analytics and BI | 2020 | oh22 |
In 2020, RHI Magnesita implemented Microsoft Azure Stream Analytics within a broader Azure-based rebuild of its IT infrastructure to enable real-time monitoring and predictive analytics for refractory products, aligning the company with Analytics and BI use cases for industrial IoT and customer-facing SaaS. The deployment targeted the centralization of streaming ingestion and analytics to support continuous condition monitoring across production sites and to underpin new digital services sold to several thousand customers worldwide.
The implementation configured Microsoft Azure Stream Analytics to handle event stream processing and real-time rule evaluation while feeding canonical datasets into a modern data warehouse stack built on Azure Synapse Analytics, Azure Data Factory and Azure Data Lake, enabling both Spark and SQL processing. Functional capabilities implemented included streaming ingestion, event windowing and aggregation, near real-time alerting, and the handoff of enriched streams to analytics pipelines and Power BI for visualization, with Microsoft Dynamics 365 data present in automated processes and reports.
oh22 acted as the implementation partner guiding architecture and platform design, helping shape nearly 1,000 dynamically generated data pipelines running through Azure Data Factory and Synapse to accelerate delivery of data-driven applications. Operational coverage emphasized cross-functional support for data engineering, BI and customer digital services teams, with the platform intended to support supply chain, production monitoring and customer service use cases rather than a single departmental silo.
Governance and capability changes accompanied the technical work, including reskilling through Microsoft training, adoption of new data warehouse principles, and a shift toward MVP driven delivery models to enable faster software development cycles. Outcomes noted as part of the broader Azure modernization included a tenfold acceleration in project implementation speed for data-driven projects and an ability to scale heavy workloads previously bound by long batch runs, reinforcing the role of Microsoft Azure Stream Analytics within RHI Magnesita’s Analytics and BI strategy.
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Buyer Intent: Companies Evaluating Microsoft Azure Stream Analytics
- Watt Consultants, a United States based Professional Services organization with 30 Employees
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