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Microsoft Azure Machine Learning Studio vs SAP Predictive Analytics comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM SPSS Statistics
Sponsored
Ranking in Data Science Platforms
10th
Average Rating
8.0
Number of Reviews
37
Ranking in other categories
Data Mining (3rd)
Microsoft Azure Machine Lea...
Ranking in Data Science Platforms
3rd
Average Rating
7.8
Number of Reviews
57
Ranking in other categories
AI Development Platforms (2nd)
SAP Predictive Analytics
Ranking in Data Science Platforms
24th
Average Rating
8.6
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of November 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.6% compared to the previous year. The mindshare of Microsoft Azure Machine Learning Studio is 6.0%, down from 12.3% compared to the previous year. The mindshare of SAP Predictive Analytics is 0.4%, down from 0.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

AbakarAhmat - PeerSpot reviewer
Sep 21, 2023
Enhancing survey analysis that provides valued insightfulness
I use it to analyze questionnaire surveys related to a product, solution, or application, such as open data services, which I provide to consumers and end-users. These surveys contain evaluation assessments, and I use SPSS to analyze the responses The most valuable feature is its robust…
Klaus Lozie - PeerSpot reviewer
Apr 22, 2024
Provides good integration and used for data labeling
We use Microsoft Azure Machine Learning Studio to train our models and for data labeling The solution's most beneficial feature is its integration with Azure. We are an Azure-based company, and the solution's integration feature allows us to log in through Cosmos DB or Application Insights.…
Gary Cook - PeerSpot reviewer
Jan 12, 2020
Enables us to forecast and pull trends and has an easy installation
We mainly use this program as a customer management system. We're looking at optimizing customer portfolio management and improving the aggregated lifetime values of the portfolio from one period to the next Well, this is difficult for me to answer because that's more on the team side. But I…

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."
"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"The most valuable features are the solution is easy to use, training new users is not difficult, and our usage is comprehensive because the whole service is beneficial."
"Custom tables and macros: They allow us to create useful reports quickly for a broad audience."
"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."
"The learning curve to using this product is not steep. The program is appropriate for those who do not have a lot of background in programming, yet have to perform basic statistical analysis."
"The solution has numerous valuable features. We particularly like custom tabs. It's very useful. We end up analyzing a lot of software data, so features related to custom tabs are really helpful."
"The most valuable feature is data normalization."
"It helps in building customized models, which are easy for clients to use​.​​"
"The most valuable feature of this solution is the ability to use all of the cognitive services, prebuilt from Azure."
"The product is well organized. The thing is how we will get the models to work within our code. We have some suggestions there, but we want to gain more experience and be ready to answer that because we are currently working on this and don't have all the answers yet. The tool is well organized. What I am very happy about is the ease of deploying new resources. You can easily create your pipeline within minutes."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"The most valuable feature of the solution is the availability of ChatGPT in the solution."
"The drag-and-drop interface of Azure Machine Learning Studio has greatly improved my workflow."
"It's good for citizen data scientists, but also, other people can use Python or .NET code."
"The most valuable features are the analytics and reporting."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
 

Cons

"It could provide even more in the way of automation as there are many opportunities."
"The reports could be better."
"One of the areas that should be similar to Minitabs is the use of blogs. The Minitabs blog helps users understand the tools and gives lots of practical examples. Following the SPSS manual is cumbersome. It's a good, exhaustive manual, but it's not practical to use. With Minitabs, you can go to the blogs and find specific articles written about various components and it's very helpful. Without blogs, we find SPSS more complicated."
"I think the visualization and charting should be changed and made easier and more effective."
"I would like SPSS to improve its integration with other data-filing IBM tools. I also think its duration with data, utilization, and graphics could be better."
"In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options."
"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."
"IBM SPSS Statistics could improve the visual outputs where you are producing, for example, a graph for a company board of directors, or an advert."
"It is not easy. It is a complex solution. It takes some time to get exposed to all the concepts. We're trying to have a CI/CD pipeline to deploy a machine learning model using negative actions. It was not easy. The components that we're using might have something to do with this."
"The solution should be more customizable. There should be more algorithms."
"In terms of improvement, I'd like to have more ability to construct and understand the detailed impact of the variables on the model. Their algorithms are very powerful and they explain overall the net contribution of each of the variables to the solution. In terms of being able to say to people "If you did this, you'll get this much more improvement" it wasn't great."
"The high price of the product is an area of concern where improvements are required."
"The speed of deployment should be faster, as should testing."
"As for the areas for improvement in Microsoft Azure Machine Learning Studio, I've provided feedback to Microsoft. My company is a Gold Partner of Microsoft, so I provided my feedback in another forum. Right now, it is the number of algorithms available in the designer that has to be improved, though I'm sure Microsoft does it regularly. When you take a use case approach, Microsoft has done that in a lot of places, but not on the Microsoft Azure Machine Learning Studio designer. When I say use case basis, I meant recommending a product or recommending similar products, so if Microsoft can list out use cases and give me a template, it will save me a lot of time and a lot of work because I don't have to scratch my head on which algorithm is better, and I can go with what's recommended by Microsoft. I'm sure that isn't a big task for the Microsoft team who must have seen thousands of use cases already, so out of that experience if the team can come up with a standard template, I'm sure it'll help a lot of organizations cut down on the development time, as well as going with the best industry-standard algorithms rather than experimenting with mine. What I'd like to see in the next version of Microsoft Azure Machine Learning Studio, apart from the use case template, is the improvement of the availability of libraries. Microsoft should also upgrade the Python versions because the old version of Python is still supported and it takes time for Microsoft to upgrade the support for Python. The pace of upgrading Python versions of Microsoft Azure Machine Learning Studio and making those libraries available should be sped up or increased."
"The price of the solution has room for improvement."
"I think it should be made cheaper for certain people…It may appear costlier for those who don't consider time important."
"This solution works for acquired data but not live, real-time data."
 

Pricing and Cost Advice

"The price of IBM SPSS Statistics could improve."
"We think that IBM SPSS is expensive for this function."
"SPSS is an expensive piece of software because it's incredibly complex and has been refined over decades, but I would say it's fairly priced."
"It's quite expensive, but they do a special deal for universities."
"Our licence is on a yearly renewal basis. While pricing is not the primary concern in our evaluation, as products are assessed by whether they can meet our user needs and expertise, the cost can be a limiting factor in the number of licences we procure."
"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"The price of this solution is a little bit high, which was a problem for my company."
"I would rate the pricing an eight out of ten, with ten being very expensive. Not very expensive, not very cheap."
"The solution operates on a pay-per-use model."
"The pricing for Microsoft products can be complex due to changes and being cloud-based, so it's not straightforward. I've been familiar with it for years, but sometimes details about product licenses and distribution can be unclear. For Microsoft Azure Machine Learning Studio specifically, I would rate the price a six out of ten."
"We pay only the Azure costs for what we use, which involves some subscription costs. But essentially, you pay for what you use. There are no extra costs in addition to the standard licensing fees."
"I rate the product price as a nine on a scale of one to ten, where ten means it is very expensive."
"The product is not that expensive."
"There isn’t any such expensive costs and only a standard license is required."
"I rate the solution's pricing a four on a scale of one to ten, where one is cheap, and ten is expensive."
"The pricing is reasonable"
"A free trial version is available for testing out this solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
16%
University
10%
Computer Software Company
9%
Manufacturing Company
8%
Financial Services Firm
12%
Computer Software Company
11%
Manufacturing Company
10%
Healthcare Company
7%
No data available
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
 

Questions from the Community

What do you like most about IBM SPSS Statistics?
The software offers consistency across multiple research projects helping us with predictive analytics capabilities.
What is your experience regarding pricing and costs for IBM SPSS Statistics?
While the pricing of the product may be higher, the accompanying service and features justify the investment. However...
What needs improvement with IBM SPSS Statistics?
In some cases, the product takes time to load a large dataset. They could improve this particular area.
Which do you prefer - Databricks or Azure Machine Learning Studio?
Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or ...
What do you like most about Microsoft Azure Machine Learning Studio?
The learning curve is very low. Operationalizing the model is also very easy within the Azure ecosystem.
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Also Known As

SPSS Statistics
Azure Machine Learning, MS Azure Machine Learning Studio
SAP BusinessObjects Predictive Analytics, BusinessObjects Predictive Analytics, BOPA
 

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Overview

 

Sample Customers

LDB Group, RightShip, Tennessee Highway Patrol, Capgemini Consulting, TEAC Corporation, Ironside, nViso SA, Razorsight, Si.mobil, University Hospitals of Leicester, CROOZ Inc., GFS Fundraising Solutions, Nedbank Ltd., IDS-TILDA
Walgreens Boots Alliance, Schneider Electric, BP
mBank
Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. SAP Predictive Analytics and other solutions. Updated: October 2024.
814,649 professionals have used our research since 2012.