Azure Machine Learning Alternatives

4.3(87 Ratings)

Considering alternatives to Azure Machine Learning? See what this market Azure Machine Learning users also considered in their purchasing decision. When evaluating different solutions, potential buyers compare competencies in categories such as evaluation and contracting, integration and deployment, service and support, and specific product capabilities.

Check out real reviews verified by Gartner to see how Azure Machine Learning compares to its competitors and find the best software or service for your organization.

Reviewed in Last 12 Months

How Alternatives Are Selected

1. Adobe Analytics

4.5

Overall, we have had a very successful experience with Adobe Analytics and we really appreciate how it has helped us to analyze our data with ease and great accuracy. Adobe Analytics provides us with state-of-the-art analytics features which allow us to capture impactful insights from our data, allowing us to monitor our performance, detect operational issues and make decisions based on actual data not guess work. With Adobe Analytics, it has been easy for us to interpret our data and get precise insights which guide us on how to improve and optimize all our operations.

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2. Analytics Cloud in SAP Business Data Cloud

By SAP

4.1

It offers a powerful all-in-one platform for data visualization, planning and predictive analytics. It provides seamless integration with other SAP tools and real-time data connectivity, greatly enhancing decision making. While there is a learning curve, which is helpful for new users, the platform becomes highly valuable once familiar with it. The overall goal is to provide centralized and streamlined analytics capabilities.

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Where Azure Machine Learning Scored Higher

Better at service and support
Easier to integrate and deploy

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3. Alteryx One Platform

4.2

I've had a positive experience with Alteryx AI. The platform integrates our various data sources (Tardis, AWS) and provides powerful, user-friendly analytics. The interface is quite intuitive, making it easy for users to automate and manage data workflows. My one piece of feedback is that there could be improvements in the documentation and support, especially for beginners on the platform

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Where Azure Machine Learning Scored Higher

Better at service and support
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4. Oracle Analytics Cloud

4.4

It's one of the most trusted data understanding platforms out there. With its easy user experience it helps the user to understand any kind of data via graphs and charts.

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5. IBM SPSS Modeler

By IBM

4.3

IBM SPSS Modeler has brought in the necessary value in terms of data analysis and reasonable prediction models. Simple yet unique interface that appeals to both the beginner and the advanced data scientiosts.

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Where Azure Machine Learning Scored Higher

Easier to integrate and deploy

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6. Spotfire

4.4

Spotfire is a versatile and reliable tool for predictive analytics. It has powerful data visualizations and advanced features to analyze and interpret complex data sets. It also provides IronPython to create customized features.

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Where Azure Machine Learning Scored Higher

Better at service and support
Easier to integrate and deploy

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7. SAS Viya

By SAS

4

We started using SAS Viya 2 years back. Migration to SAS Viya from 9.4 version was not smooth. Legacy code worked alright. Cloud Analytic Services (CAS) was new to us, but we were assumed to use products that depended on CAS. That knowledge gap caused confusion.

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8. KNIME Analytics Platform

4

Its a solid tool for data analytics, i like that it's open source, but performance sometimes lag with big datasets

Read all insights and reviews for KNIME Analytics Platform

Where Azure Machine Learning Scored Higher

Better at service and support
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