List of Microsoft Azure Batch Customers
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Since 2010, our global team of researchers has been studying Microsoft Azure Batch 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 Batch for Cognitive Computing 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 Batch for Cognitive Computing include: Imperial College London, a United Kingdom based Education organisation with 8000 employees and revenues of $1.53 billion, Keyes Robert D Dr, a Canada based Healthcare organisation with 10 employees and revenues of $1.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Batch, 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 Batch 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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Imperial College London | Education | 8000 | $1.5B | United Kingdom | Microsoft | Microsoft Azure Batch | Cognitive Computing | 2017 | n/a |
In 2017 Imperial College London adopted Microsoft Azure Batch to accelerate genomics and high performance computing workloads, explicitly positioning the deployment within a Cognitive Computing context. Microsoft technical documentation cites the Imperial genomics example and identifies Microsoft Azure Batch as an HPC as a service option that sped up genomics research in the United Kingdom.
Microsoft Azure Batch was configured to support batch job orchestration and parallel task execution, using managed compute pools and job scheduling to run large scale genomics pipelines. Typical functional capabilities implemented included automated provisioning of compute resources, autoscaling based on queue depth, and support for containerized or virtual machine task execution to handle distributed compute and data staging workflows.
The implementation integrated Azure Batch with cloud compute and storage services and researcher workflow tooling to enable end to end genomics processing, with operational coverage centered on Imperial research groups and HPC users. The technical narrative in Microsoft documentation links this usage to broader HPC and genomics scenarios, documenting how Microsoft Azure Batch can be applied to accelerate domain specific research workloads.
Governance shifted toward orchestrated job submission and automated resource lifecycle management, enabling researchers to request burst compute capacity without manual host provisioning. The documented outcome for the Imperial case was faster genomics research throughput in the UK, reflecting the application of Microsoft Azure Batch for compute intensive research workflows.
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Keyes Robert D Dr | Healthcare | 10 | $1M | Canada | Microsoft | Microsoft Azure Batch | Cognitive Computing | 2024 | Daric Clouding Solutions Canada |
In 2024, Keyes Robert D Dr deployed Microsoft Azure Batch as the compute platform categorized as Cognitive Computing to support clinical genomics workloads. St. Paul’s Hospital virology laboratory built and deployed a Nextflow based NGS/AVDR genomics pipeline on Azure to automate and scale clinical sequencing analysis in Canada.
The implementation uses Microsoft Azure Batch to provision and orchestrate scalable batch compute jobs for the Nextflow based pipeline. The pipeline implements NGS and AVDR analysis modules with Nextflow workflow orchestration to automate sequencing, alignment and downstream genomics analysis steps required for clinical interpretation.
Integrations include the Nextflow workflow engine tightly coupled with Azure compute provisioning via Microsoft Azure Batch, documented in Microsoft Tech Community case notes. Daric Clouding Solutions Canada is explicitly named as a contributor to the deployment, and the operational scope is the St. Paul’s Hospital virology laboratory and its clinical genomics function in Canada.
Governance and rollout detail emphasized a secured Nextflow deployment pattern on Azure, indicating configuration controls and automated job orchestration to align laboratory workflows with cloud compute. The Microsoft Tech Community case notes report improved scalability and automation for clinical genomics as observed outcomes of the Microsoft Azure Batch implementation.
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