Google Cloud Datalab vs IBM SPSS Statistics 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 #8 with an average rating of 8.7. Google holds a 0.9% mindshare in Data Science Platforms, compared to IBM’s 2.7% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 88% of IBM users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

711 Views
612 Comparison Views

80% willing to recommend

IBM SPSS Statistics

Read 38 IBM SPSS Statistics reviews

2,344 Views
1,567 Comparison Views

88% willing to recommend

Google Cloud Datalab

IBM SPSS Statistics

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Dec 5, 2024

IBM SPSS Statistics and Google Cloud Datalab compete in data analysis and processing. IBM SPSS Statistics is favored for its statistical capabilities, while Google Cloud Datalab offers scalability and advanced analytics.

Features: IBM SPSS Statistics is known for comprehensive statistical analysis, efficient predictive modeling, and intuitive data manipulation. Google Cloud Datalab provides an open-source environment, seamless integration with Google's cloud infrastructure, and the capability to handle large-scale data analysis with flexibility for data scientists.

Room for Improvement: IBM SPSS Statistics could enhance its integration with other platforms, improve its scalability options, and streamline its user interface for less tech-savvy users. Google Cloud Datalab might need improvements in simplifying the cloud management process, expanding its offline features, and better addressing network dependency issues.

Ease of Deployment and Customer Service: IBM SPSS Statistics offers a straightforward installation with dedicated support, appealing to organizations preferring on-premise solutions. Google Cloud Datalab, being cloud-based, provides excellent scalability and reliability but requires cloud management skills, paired with Google's community support.

Pricing and ROI: IBM SPSS Statistics typically has a higher upfront cost with licensing fees, offering quicker ROI for extensive statistical needs. Google Cloud Datalab, due to its cloud nature, presents lower initial costs with a gradual ROI, appealing for scalable, on-demand resources.

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

Buyer's Guide

Google Cloud Datalab vs. IBM SPSS Statistics

April 2025

Download the complete report

Helped 848,716 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

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 (18th)

IBM SPSS Statistics

Ranking in Data Science Platforms

8th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Mining (3rd)

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of Google Cloud Datalab is 0.9%, down from 1.2% compared to the previous year. The mindshare of IBM SPSS Statistics is 2.7%, down from 2.9% 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

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

Delivers reliable results for academic research and keeps you close to your data.

SPSS is perfectly adequate if all you want are some results. If you only need the results, you do not require the trail of evidence on how you obtained those results. I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers; I used it for my papers as well. For wider uses I find Knime keeps me in touch with my data, however much I transform them.

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

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

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

"Google Cloud Datalab is very customizable."

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

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

"The APIs are valuable."

"It has the ability to easily change any variable in our research."

"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."

"IBM SPSS Statistics depends on AI."

"The most valuable feature is the user interface because you don't need to write code."

"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."

"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."

"SPSS can handle whatever you throw at it, whether your data set contains 10,000, 100,000, or a million objects. It's like the heavy artillery of analytical tools."

More IBM SPSS Statistics pros

Cons

"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."

"The interface should be more user-friendly."

"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."

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

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

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

"SPSS slows down the computer or the laptop if the data is huge; then you need a faster computer."

"It could allow adding color to data models to make them easier to interpret."

"The product should provide more ways to import data and export results that are user-friendly for high-level executives."

"I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does."

"The technical support should be improved."

"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."

"Improvements are needed in the user interface, particularly in terms of user-friendliness."

"I feel that when it comes to conducting multiple analyses, there could be more detailed information provided. Currently, the software gives a summary and an overview, but it would be beneficial to have specific details for each product or variable."

More IBM SPSS Statistics cons

Pricing and Cost Advice

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

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

"The product is cheap."

"I rate the tool's pricing a five out of ten."

"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."

"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."

"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."

"We think that IBM SPSS is expensive for this function."

"More affordable training for new staff members."

More IBM SPSS Statistics pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.

See recommendations

848,716 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Financial Services Firm

20%

University

12%

Computer Software Company

12%

Manufacturing Company

Financial Services Firm

17%

Computer Software Company

University

Manufacturing Company

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 Statistics?

The software offers consistency across multiple research projects helping us with predictive analytics capabilities.

See all answers

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

SPSS is horrendously expensiver. On a laptop Knime is free of charge (Windows, Mac, Linux)

See all answers

What needs improvement with IBM SPSS Statistics?

Better guidance both in producing programs and interpreting their output.

See all answers

Comparisons

Databricks vs Google Cloud Datalab

Compared 30% of the time

Cloudera Data Science Workbench vs Google Cloud Datalab

Compared 24% of the time

More Google Cloud Datalab Competitors

IBM SPSS Modeler vs IBM SPSS Statistics

Compared 22% of the time

TIBCO Statistica vs IBM SPSS Statistics

Compared 10% of the time

Weka vs IBM SPSS Statistics

Compared 10% of the time

Alteryx vs IBM SPSS Statistics

Compared 9% of the time

Oracle Advanced Analytics vs IBM SPSS Statistics

Compared 5% of the time

More IBM SPSS Statistics Competitors

Product Reports

Buyer's Guide

Google Cloud Datalab

April 2025

Download Google Cloud Datalab product report

Buyer's Guide

IBM SPSS Statistics

April 2025

Download IBM SPSS Statistics product report

Also Known As

No data available

SPSS Statistics

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 Statistics is a powerful data mining solution that is designed to aid business leaders in making important business decisions. It is designed so that it can be effectively utilized by organizations across a wide range of fields. SPSS Statistics allows users to leverage machine learning algorithms so that they can mine and analyze data in the most effective way possible.

IBM SPSS Statistics Benefits

Some of the ways that organizations can benefit by choosing to deploy IBM SPSS Statistics include:

Ease of use. SPSS Statistics enables users to simply and intuitively take control of their statistical needs. The solution is designed so that analysts who do not know how to code can easily make full use of the various tools and capabilities that SPSS Statistics has to offer. Its command language is so straightforward that it does not require users to undergo special training before they use it.

Comprehensive and flexible build. SPSS Statistics is designed to be both a comprehensive and highly flexible analytics solution. It enables users to utilize a variety of integrations that make it easy for users to add features that they might feel they are missing.

Automation. SPSS Statistics makes it simple for users to automate basic tasks that they might otherwise devote too much time worrying about. Tasks like calculation or data gathering can be delegated to the system while more conceptual tasks like data analysis are given to an organization’s analysts to handle.

IBM SPSS Statistics Features

Intuitive user interface. SPSS Statistics enables users to deploy an intuitive interface that makes the process of system management simple. Among the other components of this interface is a drag-and-drop feature that makes analysis and management possible for anyone who wants to use it.

Advanced data visualizations. Analysts that employ SPSS Statistics gain access to tools that empower them to create and export data visualizations. These visualizations can be formatted in many different ways depending on what the user needs.

Local data storage. SPSS Statistics has the ability to securely store data on a user’s computer. This enables them to add layers of security that would not necessarily be present if the data was stored in the cloud.

Reviews from Real Users

IBM SPSS Statistics is a highly effective solution that stands out when compared to many of its competitors. Two major advantages it offers are the wealth of functionalities that it provides and its high level of accessibility.

An Emeritus Professor of Health Services Research at a university writes, "The most valuable feature of IBM SPSS Statistics is all the functionality it provides. Additionally, it is simple to do the five-way analysis that you can in a multidimensional setup space. It's the multidimensional space facility that is most useful."

A Director of Systems Management & MIS Operations at a university, says, “The SPSS interface is very accessible and user-friendly. It's really easy to get information from it. I've shared it with experts and beginners, and everyone can navigate it.”

IBM

Sample Customers

Information Not Available

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

Buyer's Guide

Google Cloud Datalab vs. IBM SPSS Statistics

April 2025

Free Report: Google Cloud Datalab vs. IBM SPSS Statistics

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

DOWNLOAD NOW

848,716 professionals have used our research since 2012.

See our Google Cloud Datalab vs. IBM SPSS Statistics report.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.