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Dataiku vs IBM SPSS Statistics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 5, 2024

Review summaries and opinions

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

ROI

Sentiment score
6.4
Dataiku's ROI is debated, with benefits in compliance and architecture but concerns over pricing and complex resource management.
Sentiment score
5.6
IBM SPSS Statistics provides significant ROI by improving data analysis efficiency, saving time and costs with user-friendly features.
The market is competitive, and Dataiku must adopt a consumption-based model instead of the current monthly model.
Cognitive Business Operation at a consultancy with 10,001+ employees
In terms of ROI, the use of Dataiku simplifies the architecture of customers, which helps them to decommission some of their existing tools;
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
 

Customer Service

Sentiment score
6.9
Dataiku's customer service is efficient and responsive, with most users satisfied despite occasional assistance and billing concerns.
Sentiment score
6.3
IBM SPSS Statistics customer service is generally polite and effective, but some users request better initial technical knowledge.
The support team does not provide adequate assistance.
Cognitive Business Operation at a consultancy with 10,001+ employees
Dataiku partners with local industry experts who understand the business better and provide support.
Data Science Lead at a mining and metals company with 10,001+ employees
As a partner with Dataiku, my experience with them is good; they are supportive, and when we contact them, we receive a quick response.
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
 

Scalability Issues

Sentiment score
6.7
Dataiku is recognized for scalability, effectively used across organizations with some performance concerns and integration benefits.
Sentiment score
6.3
IBM SPSS Statistics efficiently handles moderate data but struggles with large datasets, with mixed opinions on its scalability.
 

Stability Issues

Sentiment score
6.6
Some users find Dataiku stable, while others report issues; stability often depends on resource management and data quality.
Sentiment score
7.4
IBM SPSS Statistics is stable and reliable, efficiently handling data with adequate hardware but requires improvement for large databases.
In terms of stabilization, if my data has no outlier creation in the raw data, then it is quite stable.
Data Scientist at Ericsson
 

Room For Improvement

Dataiku needs improved server stability, user interface, pricing, and integration with tools, supporting non-IT users and diverse data.
IBM SPSS needs better visualization, user interface, support, and integration, with modern features, automation, and adaptable algorithms to remain competitive.
Someone who needs to do coding can do it, and someone who does not know coding can also build solutions.
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
The license is very expensive.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
I would love for Dataiku to allow more flexibility with code-based components and provide the possibility to extend it by developing and integrating custom components easily with existing ones.
Big Data Consultant at a computer software company with 1,001-5,000 employees
I'm unsure if SPSS has a commercial offering for big servers, unlike KNIME, which does.
Emeritus Professor of Health Services Research at University of South Wales
 

Setup Cost

Dataiku's pricing is considered costly yet competitive, benefiting larger enterprises over smaller businesses due to non-consumption-based fees.
IBM SPSS Statistics is a premium-priced solution with extensive features, offset by educational discounts and perceived affordability challenges.
The pricing for Dataiku is very high, which is its biggest downside.
Cognitive Business Operation at a consultancy with 10,001+ employees
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies.
Big Data Consultant at a computer software company with 1,001-5,000 employees
There are no extra expenses beyond the existing licensing cost.
Manager at CTTI - Centre de Telecomunicacions i Tecnologies de la Informació
 

Valuable Features

Dataiku offers an intuitive interface with robust tools for data preparation, collaboration, automation, and cloud integration, ideal for data science.
IBM SPSS Statistics combines advanced analytics with a user-friendly interface, handling large datasets and supporting predictive modeling efficiently.
This feature is useful because it simplifies tasks and eliminates the need for a data scientist.
Data Science Lead at a mining and metals company with 10,001+ employees
It offers most of the capabilities required for data science, MLOps, and LLMOps.
Cognitive Business Operation at a consultancy with 10,001+ employees
Dataiku primarily enhances the speed at which our customers can develop or train their machine learning models because it is a drag-and-drop platform.
Big Data Consultant at a computer software company with 1,001-5,000 employees
I mainly used it for cross tabs, correlation, regression, chi-squared tests, and similar analyses often seen in published papers.
Emeritus Professor of Health Services Research at University of South Wales
 

Categories and Ranking

Dataiku
Ranking in Data Science Platforms
6th
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
14
Ranking in other categories
No ranking in other categories
IBM SPSS Statistics
Ranking in Data Science Platforms
9th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
39
Ranking in other categories
Data Mining (2nd), AI Data Analysis (15th), AI Research (2nd)
 

Mindshare comparison

As of December 2025, in the Data Science Platforms category, the mindshare of Dataiku is 9.3%, down from 11.7% compared to the previous year. The mindshare of IBM SPSS Statistics is 4.3%, up from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Market Share Distribution
ProductMarket Share (%)
Dataiku9.3%
IBM SPSS Statistics4.3%
Other86.4%
Data Science Platforms
 

Featured Reviews

Durgesh-Singh - PeerSpot reviewer
Head of Delivery & Practice (Data & AI) at a recruiting/HR firm with 201-500 employees
Unified data projects have accelerated development and simplified architecture for higher ROI
I do not see anything that I would improve or enhance in Dataiku at this time; overall, it is a good tool to incorporate and to suggest to customers. Currently, I do not see anything specific that I would include or any functionality that requires enhancement. Dataiku gives the complete picture of the AI universe, and we have not faced any glitches, so I do not have recommendations or suggestions for improvement. All products have room for improvement, and I would like to see their pricing simplified, as it is somewhat complex. In terms of documentation, there is substantial documentation available. Customer support is good, the product is scalable, and it provides flexibility to develop. Someone who needs to do coding can do it, and someone who does not know coding can also build solutions, but the pricing is complex, which I believe should be improved.
Laurence Moseley - PeerSpot reviewer
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Manufacturing Company
9%
Computer Software Company
9%
Energy/Utilities Company
6%
Financial Services Firm
18%
Computer Software Company
9%
Manufacturing Company
8%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business4
Midsize Enterprise2
Large Enterprise8
By reviewers
Company SizeCount
Small Business9
Midsize Enterprise6
Large Enterprise19
 

Questions from the Community

What is your experience regarding pricing and costs for Dataiku Data Science Studio?
I find the pricing of Dataiku quite affordable for our customers, as they are usually large companies. However, it is a pricey solution and I primarily recommend it to bigger companies.
What needs improvement with Dataiku Data Science Studio?
In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive. We are not able to provide it to everyone. There are very few people who have ...
What is your primary use case for Dataiku Data Science Studio?
My main use cases in Dataiku include ensuring a strong data pipeline ingestion. We have people from data management, so we need to take care of the pipeline, their data quality, data drifting, all ...
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?
I think the price of the solution is very reasonable. The cost depends; you have the option for subscription or you can purchase the license. Most of our customers are paying every year for a type ...
What needs improvement with IBM SPSS Statistics?
I have faced some challenges with IBM SPSS Statistics; you need to know what you're doing because it's not very user-friendly. It's not something a person can come and intuitively work with. The ba...
 

Also Known As

Dataiku DSS
SPSS Statistics
 

Overview

 

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto
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
Find out what your peers are saying about Dataiku vs. IBM SPSS Statistics and other solutions. Updated: December 2025.
879,259 professionals have used our research since 2012.