Dataiku vs IBM SPSS Modeler vs IBM Watson Studio comparison

Dataiku and IBM are both solutions in the Data Science Platforms category. Dataiku is ranked #6 with an average rating of 8.2, while IBM is ranked #16 with an average rating of 7.5. Dataiku holds a 11.7% mindshare in Data Science Platforms, compared to IBM’s 3.5% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 86% of IBM users who would recommend it.

Dataiku

Read 13 Dataiku reviews

5,844 Views
5,669 Comparison Views

100% willing to recommend

IBM SPSS Modeler

Read 40 IBM SPSS Modeler reviews

2,258 Views
1,558 Comparison Views

86% willing to recommend

IBM Watson Studio

Read 15 IBM Watson Studio reviews

2,091 Views
1,338 Comparison Views

100% willing to recommend

Dataiku

IBM SPSS Modeler

IBM Watson Studio

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Executive Summary

We performed a comparison between Dataiku, IBM SPSS Modeler, and IBM Watson Studio based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Knime and others in Data Science Platforms.

To learn more, read our detailed Data Science Platforms Report (Updated: September 2025).

Buyer's Guide

Data Science Platforms

September 2025

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Helped 871,408 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:

Mindshare comparison

As of October 2025, in the Data Science Platforms category, the mindshare of Dataiku is 11.7%, up from 10.9% compared to the previous year. The mindshare of IBM SPSS Modeler is 3.5%, up from 2.5% compared to the previous year. The mindshare of IBM Watson Studio is 2.1%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Market Share Distribution
Product	Market Share (%)
Dataiku	11.7%
IBM Watson Studio	2.1%
IBM SPSS Modeler	3.5%
Other	82.7%

Data Science Platforms

Featured Reviews

RichardXu

Data Science Lead at a mining and metals company with 10,001+ employees

The platform organizes workflows visually and efficiently

One of the valuable features of Dataiku is the workflow capability. It allows us to organize a workflow efficiently. The platform has a visual interface, making it much easier for educated professionals to organize their work. This feature is useful because it simplifies tasks and eliminates the need for a data scientist. If you are knowledgeable about AI, you can directly write using primitive tools like Pantera flow, PyTorch, and Scikit-learn. However, Dataiku makes this process much easier.

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.

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Abilio Duarte

Senior Solutions Architect at Self-employed

A highly robust and well-documented platform that simplifies the complex world of AI

The main challenge lies in visibility and ease of use. Providing training sessions can be immensely helpful in helping users navigate and understand the tool's potential. This approach would empower users to explore and make the most of the tools and technologies at their disposal. Another area where IBM could enhance its offering is by providing more visibility to end users regarding the vast potential that Watson offers.

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

"One of the valuable features of Dataiku is the workflow capability."

"The most valuable feature is the set of visual data preparation tools."

"The most valuable feature of this solution is that it is one tool that can do everything, and you have the ability to very easily push your design to prediction."

"The solution is quite stable."

"Cloud-based process run helps in not keeping the systems on while processes are running."

"The advantage is that you can focus on machine learning while having access to what they call 'recipes.' These recipes allow me to preprocess and prepare data without writing any code."

"Data Science Studio's data science model is very useful."

"Extremely easy to use with its GUI-based functionality and large compatibility with various data sources. Also, maintenance processes are much more automated than ever, with fewer errors."

More Dataiku pros

"We had an IBM Guardium service contract where we used one of their resources to help us develop our prototype. It was a good experience, but they were helpful and responsive."

"It scales. I have not run into any challenges where it will not perform."

"I think the code modeling features are the most valuable and without the need to write a code back with many different possibilities to choose from. And the second one is linked to the activity of the data preparation."

"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."

"It continues to be a very flexible platform, so that it handles R and Python and other types of technology. It seems to be growing with additional open-source movement out there on different platforms."

"Stability is good."

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

"The most valuable features of the IBM SPSS Modeler are visual programming, you don't have to write any code, and it is easy to use. 90 to 95 percent of the use cases, you don't have to fine-tune anything. If you want to do something deeper, for example, create a better neural network, then you have to go into the features and try to fine-tune them. However, the default selection which is made by the tool, it's very practical and works well."

More IBM SPSS Modeler pros

"It is a very stable and reliable solution."

"The main benefit is the ease of use. We see a lot of engineers in our site and customers that really like the way the tools are able to work with the people."

"It is a stable, reliable product."

"It has greatly improved the performance because it is standardized across the company."

"The scalability of IBM Watson Studio is great."

"It has a lot of data connectors, which is extremely helpful."

"The most important thing is that it's a multi-faceted solution. It's a kind of specialist, not a generalist. It can produce very specific information for the customer. It's totally different from Google or any search engine that produces generic information. It's specialty is that it's all on video."

"Watson Studio is the most complete tool for AI projects."

More IBM Watson Studio pros

Cons

"The license is very expensive."

"In terms of enhancing collaboration within my team, I would not say Dataiku is the best one because it's so expensive."

"In the next release of this solution, I would like to see deep learning better integrated into the tool and not simply an extension or plugin."

"I think it would help if Data Science Studio added some more features and improved the data model."

"We still encounter some integration issues."

"The ability to have charts right from the explorer would be an improvement."

"I find that it is a little slow during use. It takes more time than I would expect for operations to complete."

"There is room for improvement in terms of allowing for more code-based features."

More Dataiku cons

"I think mapping for geographic data would also be a really great thing to be able to use."

"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."

"Time Series or forecasting needs to be easier. It is a very important feature, and it should be made easier and more automated to use. For instance, for logistic regression, binary or multinomial is used automatically based on the type of the target variable. I wish they can make Time Series easier to use in a similar way."

"It's not as user friendly as it could be."

"It would be good if IBM added help resources to the interface."

"Unstructured data is not appropriate for SPSS Modeler."

"I can say the solution is outdated."

"It is very good, but slow. The slowness may be because we have not finalized all the background information in SPSS. It still needs some tweaking."

More IBM SPSS Modeler cons

"Initially, it was quite complex. For us, it was not only a matter of getting it installed, that was just a start. It was also trying to come up with a standard way of implementing it across the entire organization, which had been a challenge."

"So a better user interface could be very helpful"

"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."

"I think maybe the support is an area where it lacks."

"The initial setup was complex."

"One area that could be improved is the backup and restoration of the database and the overall database configuration."

"We would like to see it less as one big, massive product, but more based on smaller services that we can then roll out to consumers."

"The solution's interface is very slow at times."

More IBM Watson Studio cons

Pricing and Cost Advice

"The annual licensing fees are approximately €20 ($22 USD) per key for the basic version and €40 ($44 USD) per key for the version with everything."

"Pricing is pretty steep. Dataiku is also not that cheap."

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

"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."

"$5,000 annually."

"I am using the free version of IBM SPSS Modeler, it is the educational edition version."

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

"It is a huge increase to time savings."

"When you are close to end of quarter, IBM and its partners can get you 60% to 70% discounts, so literally wait for the last day of the quarter for the best prices. You may feel like you are getting robbed if you can't receive a good discount."

"It is an expensive product."

More IBM SPSS Modeler pricing and cost advice

"Watson Studio's pricing is reasonable for what you get."

"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."

"IBM Watson Studio is an expensive solution."

"IBM Watson Studio is a reasonably priced product"

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Manufacturing Company

10%

Computer Software Company

Energy/Utilities Company

Financial Services Firm

12%

Government

11%

Educational Organization

10%

University

Financial Services Firm

12%

Computer Software Company

11%

Manufacturing Company

10%

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	8

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

By reviewers
Company Size	Count
Small Business	11
Midsize Enterprise	1
Large Enterprise	4

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...

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What needs improvement with Dataiku Data Science Studio?

There is room for improvement in terms of allowing for more code-based features. I would love for Dataiku to allow mo...

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What is your primary use case for Dataiku Data Science Studio?

My company sells licenses for both Dataiku and Alteryx, and we have clients who use them. I engage with several compa...

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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 bud...

See all answers

What needs improvement with IBM SPSS Modeler?

The customer comes to you and says they want to deploy it and make a production out of this, which is very difficult ...

See all answers

What do you like most about IBM Watson Studio?

Stability-wise, it is a great tool.

See all answers

What is your experience regarding pricing and costs for IBM Watson Studio?

IBM Watson Studio is considered rather expensive, with a rating of six or seven. The pricing could be optimized relat...

See all answers

What needs improvement with IBM Watson Studio?

IBM Watson Studio, while powerful, lacks user-friendliness. It is not easy to use, particularly for medium or small e...

See all answers

Comparisons

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Compared 50% of the time

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Compared 13% of the time

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Compared 10% of the time

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Compared 4% of the time

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Compared 22% of the time

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Compared 13% of the time

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Compared 13% of the time

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Compared 8% of the time

IBM SPSS Statistics vs IBM Watson Studio

Compared 3% of the time

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Product Reports

Buyer's Guide

Dataiku

October 2025

Download Dataiku product report

Buyer's Guide

IBM SPSS Modeler

October 2025

Download IBM SPSS Modeler product report

Buyer's Guide

IBM Watson Studio

October 2025

Download IBM Watson Studio product report

Also Known As

Dataiku DSS

SPSS Modeler

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx

Overview

Dataiku Data Science Studio is acclaimed for its versatile capabilities in advanced analytics, data preparation, machine learning, and visualization. It streamlines complex data tasks with an intuitive visual interface, supports multiple languages like Python, R, SQL, and scales efficiently for large dataset handling, boosting organizational efficiency and collaboration.

Dataiku

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

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

IBM

IBM Watson Studio provides tools for data scientists, application developers and subject matter experts to collaboratively and easily work with data to build and train models at scale. It gives you the flexibility to build models where your data resides and deploy anywhere in a hybrid environment so you can operationalize data science faster.

IBM

Sample Customers

BGL BNP Paribas, Dentsu Aegis, Link Mobility Group, AramisAuto

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

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

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September 2025

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