Freedom251 › Data Science and Machine Learning Platforms
Azure Machine Learning
What Azure Machine Learning is
Azure Machine Learning is a web service for building machine-learning workflows, with tools for forecasting, time-series modeling, model evaluation, and automated machine learning. It supports deploying models in batch or in real time, and provides API access. Its listed data connectors value is 3.0. The service is paid and has no free plan. Its pricing options use different compute commitments: Pay as you go charges for compute capacity by the second, with no long-term commitment or upfront payment; Azure savings plan for compute requires a fixed hourly commitment for one or three years; and Reservations use one-year or three-year reserved virtual machine commitments. No prices are provided for these plans. The service is available on the web. The listed organization details give a founding year of 1975 and headquarters in Redmond, Washington, USA. Buyers can weigh the forecasting and modeling capabilities alongside deployment needs and the commitment structure that fits their use of compute.
Who it suits
Azure Machine Learning suits teams that need forecasting, time-series modeling, evaluation, or automated machine learning in a web service. It also fits buyers who need batch or real-time deployment and API access, and can choose among different compute commitment structures.
What it does well
- Includes forecasting and time-series modeling workflows.
- Supports model evaluation and automated machine learning.
- Models can be deployed in batch or in real time.
- Provides API access.
- Pay as you go charges by the second without upfront payment.
What to know first
- There is no free plan.
- Pricing amounts are not provided for the listed plans.
- Two listed options require one- or three-year commitments.
Limits
There is no free plan. Pay as you go charges for compute by the second; the savings plan requires a fixed hourly amount for one or three years, while Reservations require one-year or three-year reserved virtual machine commitments.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Pay as you go | Pay for compute capacity by the second · No long-term commitments or upfront payments | On request |
| Azure savings plan for compute | Commit to a fixed hourly amount for 1 or 3 years | On request |
| Reservations | One-year or three-year reserved virtual machine commitments | On request |
As azure.microsoft.com lists them, read 20 Sept 2026. The maker's own page has the final word.
Getting started
- Open the Azure Machine Learning website.
- Use the web service.
- Choose Pay as you go, Azure savings plan for compute, or Reservations.
- Select the compute commitment structure that fits your needs.
Verdict
Choose Azure Machine Learning if your workflows need forecasting, evaluation, automated learning, or batch and real-time deployment. Look elsewhere if you need a free plan or require listed prices before comparing costs.
Questions
Is Azure Machine Learning free?
No. It is paid and has no free plan.
What pricing options are listed?
Pay as you go, Azure savings plan for compute, and Reservations. No prices are provided for these options.
How do the commitment options differ?
Pay as you go charges for compute capacity by the second without long-term commitments or upfront payments. The savings plan uses a fixed hourly commitment for one or three years; Reservations use one-year or three-year reserved virtual machine commitments.
Which platforms does it support?
The listed platform is web.
Can models be deployed in batches or in real time?
Yes. The listed deployment modes are batch and real time.
What machine-learning workflows are included?
The listed workflows include forecasting, time-series modeling, model evaluation, and automated machine learning.
Facts from Azure Machine Learning's own pages
- Founded
- 1975 · azure.microsoft.com, 23 Sept 2026
- Headquarters
- Redmond, Washington, USA · azure.microsoft.com, 23 Sept 2026
Where Azure Machine Learning stands on Freedom251
- Data Science and Machine Learning Platforms#16 of 26
- Low-Code Machine Learning Platforms Software#19 of 28
- Model Hosting#17 of 25
- Model Registry Software#25 of 36
- MLOps Platforms#21 of 29
- Data Science Platforms#25 of 32
- Data Science Analytics#25 of 30
- Predictive Analytics Software#31 of 37
- ML Experiment Tracking Software#33 of 39
- Experiment Tracking#19 of 22
- Feature Store Software#18 of 20
- Deep Learning Software#33 of 35
- Model registries#36 of 38