Azure Machine Learning Alternatives

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.

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.

Alteryx is a unique platform for data consolidation, scripting, automation, predictive analytics and advanced reporting. I am satisfied with its performance and productivity.

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.

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.

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.

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.

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