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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
Enhancing survey analysis that provides valued insightfulness
I used traditional tools where I would prepare data, click through menus, and use SQL Server for data visualization. We switched to IBM SPSS because it offers strong certification and aligns well with the standards we prioritize in our surveys. In terms of popularity, it stands out as the top choice in the market, especially in the research and university domains. Many different organizations and institutions use SPSS for statistical analytics. While there are other tools like MCLab and similar options available, SPSS is the most renowned and widely used among them.
Klaus Lozie - PeerSpot reviewer
Provides good integration and used for data labeling
Lately, we have had some issues with the solution regarding labeling jobs. We can create a label job, but we still have to use the Azure Machine Learning REST APIs, which are not yet supported in the Python SDK version 2. Microsoft has a lot of documentation, but you can do it using the CLI, UI, or Python SDK version 2. You can have 100 ways of working, while I would like to have one way of working. It's very difficult to know what is best, according to Microsoft.
Gary Cook - PeerSpot reviewer
Enables us to forecast and pull trends and has an easy installation
My rating for SAP Predictive Analytics would be an eight out of ten. If I have to be bold, I'll probably say that we're building away hours, and we are actually putting a lot of the actual predicting stuff back into the warehouse. So running it very bi-directionally. So I'm not sure what its integration features are at the moment, but that's an area we're going to look into in the next month or so.

Quotes from Members

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

Pros

"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."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"The solution is very comprehensive, especially compared to Minitabs, which is considered more for manufacturing. However, whatever data you want to analyze can be handled with SPSS."
"The most valuable feature is the user interface because you don't need to write code."
"You can quickly build models because it does the work for you."
"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."
"The software offers consistency across multiple research projects helping us with predictive analytics capabilities."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"When you import the dataset you can see the data distribution easily with graphics and statistical measures."
"Anyone who isn't a programmer his whole life can adopt it. All he needs is statistics and data analysis skills."
"The product supports open-source tools."
"The product's initial setup phase is easy."
"Microsoft Azure Machine Learning Studio is easy to use and deploy."
"ML Studio is very easy to maintain."
"The visualizations are great. It makes it very easy to understand which model is working and why."
"Azure Machine Learning Studio's most valuable features are the package from Azure AutoML. It is quite powerful compared to the building of ML in Databricks or other AutoMLs from other companies, such as Google and Amazon."
"I think the features of the actual ability to forecast and pull trends and correlations has been really good."
"The most valuable features are the analytics and reporting."
 

Cons

"Needs more statistical modelling functions."
"The solution needs more planning tools and capabilities."
"In some cases, the product takes time to load a large dataset. They could improve this particular area."
"The statistics should be more self-explanatory with detailed automated reports."
"I'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."
"The design of the experience can be improved."
"There is a learning curve; it's not very steep, but there is one."
"SPSS is a tool that's been around since the late 60s, and it's the universal worldwide standard for quantitative social science data analysis. That said, it does seem a bit strange to me that the graphical output functions are so clunky after all these years. The output of charts and graphs that SPSS produces is hideous."
"If you want to be able to deploy your tools outside of Microsoft Azure, this is not the best choice."
"The solution must increase the amount of data sources that can be integrated."
"The speed of deployment should be faster, as should testing."
"The solution cannot connect to private block storage."
"They should have a desktop version to work on the platform."
"The AutoML feature is very basic and they should improve it by using a more robust algorithm."
"Stability-wise, you may face certain problems when you fail to refresh the data in the solution."
"A problem that I encountered was that I had to pay for the model that I wanted to deploy and use on Azure Machine Learning, but there wasn't any option that that model can be used in the designer."
"This solution works for acquired data but not live, real-time data."
 

Pricing and Cost Advice

"While the pricing of the product may be higher, the accompanying service and features justify the investment."
"I rate the tool's pricing a five out of ten."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
"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."
"The price of IBM SPSS Statistics could improve."
"It's quite expensive, but they do a special deal for universities."
"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."
"More affordable training for new staff members."
"I am paying for it following a pay-as-you-go. So, the more I use it, the more it costs."
"There is a license required for this solution."
"To use MLS is fairly cheap. Even the paid account is something like $20/month, unless you are provisioning large numbers of VMs for a Hadoop cluster. The main MS makes money with this solution is forcing the user to deploy their model on REST API, and being charged each time the API is accessed. There are several pricing tiers for the API. If you do not use the API, then value of MLS is to create rapid experiments ($20/month). The resulting model is not exportable to use, thus you’ll have to recreate the algorithms in either R or Python, which is what I did. MLS results gave me a direction to work with, the actual work is mostly done in R and Python outside of MLS."
"I used the free student license for a few months to operate the solution, but I'll have to pay for it if I want to do more now."
"There isn’t any such expensive costs and only a standard license is required."
"There is a lack of certainty with the solution's pricing."
"On a scale from one to ten, with ten being overpriced, I would rate the price of this solution at six."
"The product's pricing is reasonable."
"A free trial version is available for testing out this solution."
"The pricing is reasonable"
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
University
9%
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?
The cost of IBM SPSS Statistics is managed by organizations, not individual researchers. It is a very expensive produ...
What needs improvement with IBM SPSS Statistics?
IBM SPSS Statistics does not keep you close to your data like KNIME. In KNIME, at every stage, you can see the result...
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
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Find out what your peers are saying about Microsoft Azure Machine Learning Studio vs. SAP Predictive Analytics and other solutions. Updated: October 2024.
816,406 professionals have used our research since 2012.