List of Microsoft Azure Data Explorer Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying Microsoft Azure Data Explorer 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 Data Explorer 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 Data Explorer for Analytics and BI include: T-Mobile _x000D_, a United States based Communications organisation with 70000 employees and revenues of $81.40 billion, Taboola, a United States based Professional Services organisation with 1800 employees and revenues of $1.38 billion, Huber+Suhner, a Switzerland based Manufacturing organisation with 4678 employees and revenues of $926.5 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Data Explorer, 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.
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Huber+Suhner | Manufacturing | 4678 | $926M | Switzerland | Microsoft | Microsoft Azure Data Explorer | Analytics and BI | 2023 | Option 4.0 |
In 2023, Huber+Suhner implemented Microsoft Azure Data Explorer to centralize IoT and production telemetry across its Swiss manufacturing plants. The deployment targeted plant floor data aggregation to support faster operational analytics and traceability within the company manufacturing environment.
Huber+Suhner configured Microsoft Azure Data Explorer as an Analytics and BI platform to power OEE dashboards and rapid traceability queries. The implementation focused on high‑velocity telemetry ingestion and queryable time series to enable minute scale analytics, QR based tracing of production lots, and a foundation for item level digital twin initiatives.
The project was delivered with Option 4.0, which managed the rollout and implementation services. Operational coverage included multiple production sites in Switzerland, instrumenting machine level IoT endpoints and centralizing telemetry for cross‑plant visibility, while routing data to the Azure Data Explorer instance for analytics and dashboarding.
Governance emphasis included operationalizing traceability workflows and scaling plans to extend telemetry to additional machines and item level digital twins. The deployment reduced analysis time from weeks to minutes and enabled QR based tracing, while positioning production, quality, and operations teams to consume near real time Analytics and BI insights for manufacturing decision making.
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T-Mobile _x000D_ | Communications | 70000 | $81.4B | United States | Microsoft | Microsoft Azure Data Explorer | Analytics and BI | 2020 | n/a |
In 2020, T-Mobile implemented Microsoft Azure Data Explorer as part of a cloud analytics platform to ingest and analyze massive network and telemetry datasets during and after its Sprint merger. The deployment used Microsoft Azure Data Explorer within an Analytics and BI environment to support network operations and customer-migration analytics across the United States.
The implementation focused on high-volume ingestion and interactive analysis of telemetry and network event streams, delivering real-time visibility for troubleshooting and cross-source correlation. Microsoft Azure Data Explorer was configured to enable fast ad-hoc queries and time-series analysis consistent with Analytics and BI operational workflows.
Azure Data Explorer was deployed on Azure alongside Azure Databricks and Azure Data Lake Storage to create an end-to-end cloud analytics architecture, and it aggregated more than 60 data sources for unified analysis. This architecture supported network monitoring pipelines and analytics feeds used by operations teams to track migration status and surface anomalies.
Governance centered on a centralized analytics platform used by network operations and product analytics teams, aligning telemetry ingestion, access patterns, and query workflows. The initiative delivered real-time visibility and supported improved network monitoring, issue resolution, and analytics-driven product decisions as stated in the implementation notes.
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Taboola | Professional Services | 1800 | $1.4B | United States | Microsoft | Microsoft Azure Data Explorer | Analytics and BI | 2019 | n/a |
In 2019, Taboola implemented Microsoft Azure Data Explorer to perform near-real-time analysis of edge delivery logs for its content-recommendation platform in the United States, aligning the project with Analytics and BI requirements for operational and product analytics. The implementation aimed to surface delivery and latency signals at the edge and shorten the time from event to insight for operations and product teams.
Microsoft Azure Data Explorer ingested Fastly streaming logs that were persisted into Azure Blob Storage, creating a streaming-to-blob ingestion pipeline that supported high throughput query and exploratory analytics. The configuration processed terabytes per day, reported at roughly 17 TB per day, and the environment was onboarded rapidly, with initial onboarding completed in about a week, enabling quick ramp of dashboards and ad hoc queries.
Operational scope centered on edge delivery telemetry and product analytics workflows, enabling instant detection and correction of latency issues and faster insight delivery to operations and product stakeholders. The deployment emphasized scalable ingestion, near-real-time query capability, and a simplified operational analytics stack using Microsoft Azure Data Explorer for Analytics and BI across Taboola's U.S. edge delivery footprint.
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