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 #9 with an average rating of 8.5. 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

760 Views
664 Comparison Views

80% willing to recommend

IBM SPSS Statistics

Read 38 IBM SPSS Statistics reviews

2,440 Views
1,641 Comparison Views

88% willing to recommend

Google Cloud Datalab

IBM SPSS Statistics

Comparison Buyer's Guide

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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: January 2025).

Buyer's Guide

Google Cloud Datalab vs. IBM SPSS Statistics

January 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 (18th)

IBM SPSS Statistics

Ranking in Data Science Platforms

9th

Average Rating

8.0

Reviews Sentiment

6.9

Number of Reviews

Ranking in other categories

Data Mining (3rd)

Mindshare comparison

As of March 2025, in the Data Science Platforms category, the mindshare of Google Cloud Datalab is 0.9%, down from 1.3% compared to the previous year. The mindshare of IBM SPSS Statistics is 2.7%, down from 2.8% 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

Md Masudul Hassan

Agricultural Finance and IT Researcher at Sher-e-Bangla Agricultural University

Comprehensive data analysis capabilities with a user-friendly interface, providing an efficient and reliable platform for researchers and analysts

I believe that offering short-term SPSS licenses, perhaps when customer sourcing is available, could make it more affordable. These licenses shouldn't include features tailored for universities or large sales organizations. Instead, they could offer discounts or additional facilities for smaller entities to access the software. In developing countries, it would be beneficial to provide certain features to users at no cost initially, while also customizing pricing options. For example, offering basic features to the first hundred users can help them become familiar with the software and its capabilities. This approach encourages users to upgrade to higher tiers as they become more experienced and require additional functionality.

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

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

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

"The APIs are valuable."

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

"Google Cloud Datalab is very customizable."

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

"I've found the descriptive statistics and cross-tabs valuable. The very simple correlations and regressions are as well."

"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 most valuable features are the small learning curve and its ability to hold a lot of data."

"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."

"It is perfectly adequate if all you need are the results and not the trail of evidence."

"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."

"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."

"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."

More IBM SPSS Statistics pros

Cons

"The product must be made 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."

"The interface should be more user-friendly."

"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."

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

"The solution needs more planning tools and capabilities."

"I know that SPSS is a statistical tool but it should also include a little bit of analytical behavior. You can call it augmented analysis or predictive analysis. The bottom line is it should have more graphical and analytical capabilities."

"The technical support should be improved."

"I think the visualization and charting should be changed and made easier and more effective."

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

"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'd like to see them use more artificial intelligence. It should be smart enough to do predictions and everything based on what you input."

"It could provide even more in the way of automation as there are many opportunities."

More IBM SPSS Statistics cons

Pricing and Cost Advice

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

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

"The product is cheap."

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

"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 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."

"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."

"More affordable training for new staff members."

"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."

More IBM SPSS Statistics pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

19%

Computer Software Company

13%

University

10%

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

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Compared 33% of the time

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Compared 23% of the time

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Compared 20% of the time

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Compared 11% of the time

Weka vs IBM SPSS Statistics

Compared 10% of the time

Alteryx vs IBM SPSS Statistics

Compared 10% of the time

SAS Analytics vs IBM SPSS Statistics

Compared 4% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

February 2025

Download Google Cloud Datalab product report

Buyer's Guide

IBM SPSS Statistics

February 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

January 2025

Free Report: Google Cloud Datalab vs. IBM SPSS Statistics

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