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Azure Machine Learning

azure.microsoft.com

Web
Visit azure.microsoft.com
Spec score 6.4 #13 of 25 in Model Hosting

What it is

Azure Machine Learning is a web-based service for building and operating machine-learning workflows. It supports forecasting, time-series modeling, model evaluation and automated machine learning, with models deployable in batch or in real time. API access is listed for connecting applications, and the data connectors value is 3.0. The service uses a paid pricing model and has no free plan. Its listed purchasing choices are Pay as you go, Azure savings plan for compute and Reservations. Pay as you go charges for compute capacity by the second without long-term commitments or upfront payments. The savings plan requires a fixed hourly commitment for one or three years. Reservations use one-year or three-year reserved virtual-machine commitments. Azure Machine Learning is offered on the web platform. The listed organization details identify a 1975 founding year and headquarters in Redmond, Washington, USA.

Spec sheet

Headquarters
Redmond, Washington, USARead 23 Sep 2026 · azure.microsoft.com
Founded
1975Read 23 Sep 2026 · azure.microsoft.com

Plans and prices

Pay as you go Priced on request Pay for compute capacity by the second · No long-term commitments or upfront payments Read 20 Sep 2026 · azure.microsoft.com
Azure savings plan for compute Priced on request Commit to a fixed hourly amount for 1 or 3 years Read 20 Sep 2026 · azure.microsoft.com
Reservations Priced on request One-year or three-year reserved virtual machine commitments Read 20 Sep 2026 · azure.microsoft.com

Every Azure Machine Learning plan and price →

Strong points and limits

Strong points

  • Batch and real-time deployment
  • Automated machine learning
  • Forecasting and time-series workflows
  • API access
  • Pay-as-you-go option

Limits

  • No free plan
  • Paid service
  • Longer plans require commitments
  • Data connectors value listed as 3.0

Who it suits

Azure Machine Learning suits teams needing web-based forecasting, evaluation, automated learning or model deployment. It also fits buyers choosing between usage-based compute and longer commitments.

Verdict

Azure Machine Learning covers common modeling workflows and both batch and real-time deployment through a web service. Buyers should match the compute commitment structure and listed capabilities to their workload.

Where Specifiction places it

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