Google Cloud Datalab vs IBM SPSS Modeler comparison

Google and IBM are both solutions in the Data Science Platforms category. Google is ranked #16 with an average rating of 7.8, while IBM is ranked #17 with an average rating of 7.0. Google holds a 1.0% mindshare in Data Science Platforms, compared to IBM’s 2.5% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

767 Views
606 Comparison Views

80% willing to recommend

IBM SPSS Modeler

Read 39 IBM SPSS Modeler reviews

2,280 Views
1,528 Comparison Views

86% willing to recommend

Google Cloud Datalab

IBM SPSS Modeler

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Modeler and Google Cloud Datalab compete in data analysis and machine learning. IBM SPSS Modeler seems to have the upper hand with its integration capabilities and robust support, while Google Cloud Datalab wins in scalability and cloud-based flexibility.

Features: IBM SPSS Modeler offers advanced predictive analytics, a user-friendly drag-and-drop interface, and seamless integration with IBM's analytical suite. Google Cloud Datalab is known for its scalability, real-time collaboration capabilities through Google Cloud infrastructure, and extensive support for multiple data formats, enhancing its adaptability.

Room for Improvement: IBM SPSS Modeler could improve its visual modeling and expand its machine learning algorithms to compete better with more innovative solutions. It also needs enhancements in cloud integration capabilities. Google Cloud Datalab could benefit from more robust customer service channels, improved initial setup guidance, and a more comprehensive offline data analysis feature.

Ease of Deployment and Customer Service: IBM SPSS Modeler benefits from straightforward deployment with robust support services and detailed documentation. Google Cloud Datalab provides a cloud-based deployment model that is quick to implement, yet support relies heavily on community forums and online resources, highlighting a more community-driven approach.

Pricing and ROI: IBM SPSS Modeler involves higher setup costs but offers substantial ROI through deep analytical capabilities and integration benefits. Google Cloud Datalab offers a lower cost of entry with a pay-as-you-go pricing model, allowing for scalable, budget-friendly solutions in cloud-centric strategies.

To learn more, read our detailed Google Cloud Datalab vs. IBM SPSS Modeler Report (Updated: June 2025).

Buyer's Guide

Google Cloud Datalab vs. IBM SPSS Modeler

June 2025

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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

Google Cloud Datalab

Ranking in Data Science Platforms

16th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Visualization (19th)

IBM SPSS Modeler

Ranking in Data Science Platforms

17th

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

Ranking in other categories

Data Mining (4th)

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Google Cloud Datalab is 1.0%, down from 1.0% compared to the previous year. The mindshare of IBM SPSS Modeler is 2.5%, up from 2.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

Easy to setup, stable and easy to design data pipelines

The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.

Read full review

PeterHuo

Application Architect at Canada Border Services Agency

Good tool for extracting data from data warehouses, creating streams, and manipulating logic to extract final data

There are performance issues. Extracting data from many combined tables can take hours and occasionally crash the server due to memory leaks. This performance problem bothers people. The performance issue seems to be related to the server. We design streams on the client and submit them to the server, which generates a large SQL statement. There are two potential bottlenecks: one in the server and another in data extraction. I'm unsure about the exact mechanics of data splitting when fetching from the database. When streams become larger, performance bottlenecks may occur in the IBM SPSS Modeler server or the database. Sometimes the server crashes and needs to be restarted to release memory on both sides. I'm not sure exactly where the problem is caused, as I focus on stream design rather than server issues. The problem could be on the IBM SPSS Modeler server and database.

Read full review

Quotes from Members

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

Pros

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."

"The APIs are valuable."

"For me, it has been a stable product."

"All of the features of this product are quite good."

"The infrastructure is highly reliable and efficient, contributing to a positive experience."

"Google Cloud Datalab is very customizable."

"Stability is good."

"It is very scalable for non-technical people."

"Our go live process has been slightly enhanced compared to the previous programmatic process. There is now a faster time to production from the business end."

"The ease of use in the user interface is the best part of it. The ability to customize some of my streams with R and Python has been very useful to me, I've automated a few things with that."

"Very good data aggregation."

"New algorithms are added into every version of Modeler, e.g., SMOTE, random forest, etc. The Derive node is used for the syntax code to derive the data."

"Automation is great and this product is very organized."

"We are creating models and putting them into production much faster than we would if we had just gone with a strict, code-based solution, like R or Python."

More IBM SPSS Modeler pros

Cons

"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."

"The interface should be more user-friendly."

"The product must be made more user-friendly."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."

"Dimension reduction should be classified separately."

"The product does not have a search function for tags."

"I understand that it takes some time to incorporate some of the new algorithms that have come out in the last few months, in the literature. For example, there is an algorithm based on how ants search for food. And there are some algorithms that have now been developed to complement rules. So that's one of the things that we need to have incorporated into it."

"I would like better integration into the Weather Company solution. I have raised a couple of concerns about this integration and having more time series capabilities."

"Unstructured data is not appropriate for SPSS Modeler."

"Requires more development."

"It would be helpful if SPSS supported open-source features, for example, embedding R or Python scripts in SPSS Modeler."

"We would like to see better visualizations and easier integration with Cognos Analytics for reporting."

More IBM SPSS Modeler cons

Pricing and Cost Advice

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

"The product is cheap."

"It is affordable for us because we have a limited number of users."

"It is an expensive product."

"Having in mind all four tools from Garner’s top quadrant, the pricing of this tool is competitive and it reflects the quality that it offers."

"This tool, being an IBM product, is pretty expensive."

"Its price is okay for a company, but for personal use, it is considered somewhat expensive."

"It is a huge increase to time savings."

"$5,000 annually."

"If you are in a university and the license is free then you can use the tool without any charges, which is good."

"The scalability was kind of limited by our ability to get other people licenses, and that was usually more of a financial constraint. It's expensive, but it's a good tool."

More IBM SPSS Modeler pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

23%

University

12%

Computer Software Company

Manufacturing Company

Financial Services Firm

12%

Educational Organization

11%

Government

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

See all answers

What needs improvement with Google Cloud Datalab?

Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcin...

See all answers

What is your primary use case for Google Cloud Datalab?

It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...

See all answers

What do you like most about IBM SPSS Modeler?

Compared to other tools, the product works much easier to analyze data without coding.

See all answers

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...

See all answers

What needs improvement with IBM SPSS Modeler?

See all answers

Comparisons

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Compared 31% of the time

Databricks vs Google Cloud Datalab

Compared 27% of the time

Oracle Analytics Cloud vs Google Cloud Datalab

Compared 14% of the time

Cloudera Data Science Workbench vs Google Cloud Datalab

Compared 14% of the time

Anaconda vs Google Cloud Datalab

Compared 13% of the time

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Compared 25% of the time

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Compared 22% of the time

KNIME vs IBM SPSS Modeler

Compared 15% of the time

Altair RapidMiner vs IBM SPSS Modeler

Compared 7% of the time

Alteryx vs IBM SPSS Modeler

Compared 6% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

June 2025

Download Google Cloud Datalab product report

Buyer's Guide

IBM SPSS Modeler

June 2025

Download IBM SPSS Modeler product report

Also Known As

No data available

SPSS Modeler

Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

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.

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

Sign up for the trial
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

Buyer's Guide

Google Cloud Datalab vs. IBM SPSS Modeler

June 2025

Free Report: Google Cloud Datalab vs. IBM SPSS Modeler

Find out what your peers are saying about Google Cloud Datalab vs. IBM SPSS Modeler and other solutions. Updated: June 2025.

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