Azure Data Lake Analytics vs IBM SPSS Modeler comparison

Microsoft and IBM are both solutions in the Data Science Platforms category. Microsoft is ranked #84, while IBM is ranked #12 with an average rating of 8.0. Additionally, 86% of IBM users are willing to recommend the solution.

Azure Data Lake Analytics

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91 Comparison Views

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,695 Views
1,967 Comparison Views

86% willing to recommend

Azure Data Lake Analytics

IBM SPSS Modeler

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Executive Summary

We performed a comparison between Azure Data Lake Analytics and IBM SPSS Modeler based on real PeerSpot user reviews.

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Helped 881,455 peers since 2012

Review summaries and opinions

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

Categories and Ranking

Azure Data Lake Analytics

Ranking in Data Science Platforms

84th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM SPSS Modeler

Ranking in Data Science Platforms

12th

Average Rating

8.0

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Mining (3rd)

Featured Reviews

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Prof. Dr. Rudolf Bisping

Business Owner at SASS GmbH

Support and flexibility enable effective project initiation and meet customer needs but deployment requires enhancement

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult and expensive with IBM SPSS Modeler. With MATLAB, there is no problem. I have a solution, and then I convert my MATLAB solution to C programming language. This I can deploy, and I can check it, and it is MISRA compatible. It is very easy to deploy it, to go from MATLAB to C or C++, which is actually needed in the car industry. In the car industry, they want to have it in the hardware. You cannot put MATLAB or IBM SPSS Modeler in the hardware of a car, but with C, there is no problem with a microcontroller. They can shoot it into the microcontroller, and I can check it with Polyspace, and it is MISRA compatible, which is an industrial standard. There is nothing similar in IBM SPSS Modeler. I made solutions with IBM SPSS Modeler, and then the customer said they wanted to make a production out of it, and it was not possible. I stopped with IBM SPSS Modeler 18. It is now 18.6 from what I know at the moment. I do not believe that there is a possibility to design a graphic user interface with it. It is itself a graphic user interface, where you put all sorts of little icons into the display.

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Top Industries

By visitors reading reviews

No data available

Government

12%

Financial Services Firm

11%

University

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	4
Large Enterprise	32

Questions from the Community

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What is your experience regarding pricing and costs for IBM SPSS Modeler?

The government has funds and a budget, it's hard to say if it's expensive or cheap. In Canada, they have a yearly budget. They used to encourage people to use the modeler for development. If ten us...

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What needs improvement with IBM SPSS Modeler?

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What is your primary use case for IBM SPSS Modeler?

I have been using IBM SPSS Modeler for a long time. I am using IBM SPSS Modeler mainly for ETL. Sometimes I use it to compare the results of the modeling as compared to MATLAB. MATLAB is the main t...

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Comparisons

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Compared 40% of the time

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Compared 38% of the time

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Compared 47% of the time

Microsoft Power BI vs IBM SPSS Modeler

Compared 8% of the time

KNIME Business Hub vs IBM SPSS Modeler

Compared 6% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 4% of the time

Weka vs IBM SPSS Modeler

Compared 4% of the time

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Product Reports

Buyer's Guide

Data Science Platforms

January 2026

Download Azure Data Lake Analytics product report

Buyer's Guide

IBM SPSS Modeler

January 2026

Download IBM SPSS Modeler product report

Also Known As

No data available

SPSS Modeler

Overview

Azure Data Lake Analytics is a cloud-based on-demand analytics job service that simplifies big data. It allows users to focus on running jobs rather than on the complexities involved in distributed computing.

Azure Data Lake Analytics provides a scalable and cost-efficient environment for processing big data. It enables users to develop and run massively parallel data transformation and processing programs in U-SQL, R, Python, and .NET over petabytes of data. The system's serverless architecture means users pay only for the processing power they use, thus avoiding significant upfront infrastructure costs.

What are the key features of Azure Data Lake Analytics?

Serverless Design: Eliminates the need for infrastructure setup and configuration.
Scalability: Handles large-scale data processing effortlessly with high elasticity.
Multi-language Support: Enables scripting in U-SQL, R, Python, and .NET.
Cost Management: Pay-as-you-go pricing for the computational power used.
Integration: Seamlessly integrates with other Azure services and tools.

What are the benefits of using Azure Data Lake Analytics?

Efficiency: Streamlines big data processing without managing infrastructure.
Cost-Effective: Reduces expenses with a pay-per-job model.
Flexibility: Supports multiple programming languages for diverse data transformations.
Interoperability: Easily works with other Azure offerings for enhanced data solutions.

Azure Data Lake Analytics is implemented across industries like finance, healthcare, and retail. In finance, it is used for fraud detection and risk management by processing large datasets efficiently. Healthcare organizations utilize it for patient data analytics and research purposes. In retail, it assists in customer behavior analysis and inventory optimization, leveraging its ability to handle substantial data volumes and integrate with existing systems.

Microsoft

IBM SPSS Modeler is an extensive predictive analytics platform that is designed to bring predictive intelligence to decisions made by individuals, groups, systems and the enterprise. By providing a range of advanced algorithms and techniques that include text analytics, entity analytics, decision management and optimization, SPSS Modeler can help you consistently make the right decisions from the desktop or within operational systems.

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https://www.ibm.com/products/spss-modeler/pricing

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https://www.ibm.com/account/reg/us-en/signup?formid=urx-19947

IBM

Sample Customers

Information Not Available

Reisebªro Idealtours GmbH, MedeAnalytics, Afni, Israel Electric Corporation, Nedbank Ltd., DigitalGlobe, Vodafone Hungary, Aegon Hungary, Bureau Veritas, Brammer Group, Florida Department of Juvenile Justice, InSites Consulting, Fortis Turkey

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Data Science Platforms

January 2026

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