Dataiku vs IBM Watson Studio comparison

Dataiku and IBM are both solutions in the Data Science Platforms category. Dataiku is ranked #7 with an average rating of 8.0, while IBM is ranked #11 with an average rating of 8.2. Dataiku holds a 10.3% mindshare in Data Science Platforms, compared to IBM’s 2.2% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

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Executive Summary

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

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Dataiku vs. IBM Watson Studio Report (Updated: July 2024).

Buyer's Guide

Dataiku vs. IBM Watson Studio

July 2024

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Categories and Ranking

IBM SPSS Statistics

Mindshare comparison

As of September 2024, in the Data Science Platforms category, the mindshare of IBM SPSS Statistics is 2.8%, up from 2.4% compared to the previous year. The mindshare of Dataiku is 10.3%, up from 7.2% compared to the previous year. The mindshare of IBM Watson Studio is 2.2%, down from 2.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Md Masudul Hassan

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

Jan 27, 2024

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.

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Sabrine Bendimerad

Data Scientist at Electricite De France

Jun 11, 2024

Saves a lot of time because I can quickly handle all the data preparation tasks and concentrate on building my machine learning algorithms

One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated. While it was theoretically possible to use GitHub with Dataiku, in practice, it was difficult to manage our code effectively and push it from Dataiku to GitHub. Another limitation was its ability to handle different types of data. While Dataiku is powerful for working with structured data, like regular or geospatial data, it struggled with more complex data types such as text and image. In addition to the challenges with GitHub integration, the limited support for diverse data types was another feature lacking at that time.

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Phillipe Ramos

Data Architect at Trinidad Systems Limited

Jun 22, 2023

Though the tool provides exclusive features to run Python codes in a certain environment, it needs to improve support

It was used for some basic purposes because all I did was use Jupyter notebooks to run codes on the Snowflake environment. This was done by me at my previous job. I had just started using Jupyter notebooks to run Python codes on Snowflake data warehouses I was really more on the engineering side…

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Quotes from Members

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

Pros

"Capability analysis is one of the main and valuable functions. We also do some hypothesis testing in Minitab and summary stats. These are the functions that we find very useful."

"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 into multidimensional setup space. It's the multidimensional space facility that is most useful."

"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."

"Since we are using the software as a statistical tool, I would say the best aspects of it are the regression and segmentation capabilities. That said, I've used it for all sorts of things."

"The features that I have found most valuable are the Bayesian statistics and descriptive statistics."

"One feature I found very valuable was the analysis of variance (ANOVA)."

"The most valuable features mainly include factor analysis, correlation analysis, and geographic analysis."

"It offers very good visualization."

More IBM SPSS Statistics pros

"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."

"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."

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

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

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

"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."

"I like the interface, which is probably my favorite part of the solution. It is really user-friendly for an IT person."

More Dataiku pros

"The system's ability to take a look at data, segment it and then use that data very differently."

"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."

"Technical support is great. We have had weekly teleconferences with the technical people at IBM, and they have been fantastic."

"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."

"IBM Watson Studio consistently automates across channels."

"It is a very stable and reliable solution."

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

"The scalability of IBM Watson Studio is great."

More IBM Watson Studio pros

Cons

"The design of the experience can be improved."

"Better documentation on how to use macros."

"The solution could improve by providing a visual network for predictions and a self-organizing map for clustering."

"Technical support needs some improvement, as they do not respond as quickly as we would like."

"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."

"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."

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

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

More IBM SPSS Statistics cons

"Server up-time needs to be improved. Also, query engines like Spark and Hive need to be more stable."

"One of the main challenges was collaboration. Developers typically use GitHub to push and manage code, but integrating GitHub with Dataiku was complicated."

"There were stability issues: 1) SQL operations, such as partitioning, had bugs and showed wrong results. 2) Due to server downtime, scheduled processes used to fail. 3) Access to project folders was compromised (privacy issue) with wrong people getting access to confidential project folders."

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

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

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

"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."

"The interface for the web app can be a bit difficult. It needs to have better capabilities, at least for developers who like to code. This is due to the fact that everything is enabled in a single window with different tabs. For them to actually develop and do the concurrent testing that needs to be done, it takes a bit of time. That is one improvement that I would like to see - from a web app developer perspective."

More Dataiku cons

"The decision making in their decision making feature is less good than other options."

"I want IBM's technical support team to provide more specific answers to queries."

"The initial setup was complex."

"It's sometimes easy to get lost given the number of images the solution opens up when you click on the mouse and the amount of different tabs."

"We would like to see it more web-based with more functionality."

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

"The main challenge lies in visibility and ease of use."

"Some of the solutions are really good solutions but they can be a little too costly for many."

More IBM Watson Studio cons

Pricing and Cost Advice

"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."

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

"The price of IBM SPSS Statistics could improve."

"If it requires lot of data processing, maybe switching to IBM SPSS Clementine would be better for the buyer."

"More affordable training for new staff members."

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

"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."

More IBM SPSS Statistics pricing and cost advice

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

"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."

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

"IBM Watson Studio is a reasonably priced product"

"IBM Watson Studio is an expensive solution."

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

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Top Industries

By visitors reading reviews

University

13%

Financial Services Firm

13%

Educational Organization

10%

Computer Software Company

Financial Services Firm

18%

Educational Organization

15%

Manufacturing Company

Computer Software Company

Financial Services Firm

16%

Computer Software Company

12%

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

What do you like most about IBM SPSS Statistics?

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

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

While the pricing of the product may be higher, the accompanying service and features justify the investment. However...

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What needs improvement with IBM SPSS Statistics?

In some cases, the product takes time to load a large dataset. They could improve this particular area.

See all answers

What is your experience regarding pricing and costs for Dataiku Data Science Studio?

Pricing is pretty steep. Dataiku is also not that cheap. It depends on the client and how much they want to spend tow...

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What needs improvement with Dataiku Data Science Studio?

The no-code/low-code aspect, where DataRobot doesn't need much coding at all. Dataiku still needs some coding, and th...

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

My current client has Dataiku. We do sentiment analysis and some small large language models right now. We use Dataik...

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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 an expensive solution.

See all answers

What needs improvement with IBM Watson Studio?

From an improvement perspective, I would say that if the deployment environment and IBM Watson Studio's environment a...

See all answers

Comparisons

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Compared 15% of the time

Alteryx vs IBM SPSS Statistics

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM SPSS Statistics

Compared 12% of the time

Weka vs IBM SPSS Statistics

Compared 11% of the time

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Databricks vs Dataiku

Compared 39% of the time

KNIME vs Dataiku

Compared 14% of the time

Alteryx vs Dataiku

Compared 11% of the time

RapidMiner vs Dataiku

Compared 10% of the time

Starburst Galaxy vs Dataiku

Compared 1% of the time

More Dataiku Competitors

Databricks vs IBM Watson Studio

Compared 26% of the time

Azure OpenAI vs IBM Watson Studio

Compared 18% of the time

Google Vertex AI vs IBM Watson Studio

Compared 13% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 13% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

IBM SPSS Statistics

August 2024

Download IBM SPSS Statistics product report

Buyer's Guide

Dataiku

September 2024

Download Dataiku product report

Buyer's Guide

IBM Watson Studio

August 2024

Download IBM Watson Studio product report

Also Known As

SPSS Statistics

Dataiku DSS

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

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IBM

Dataiku

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IBM

Overview

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.”

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.

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.

Sample Customers

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

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

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Dataiku vs. IBM Watson Studio

July 2024

Free Report: Dataiku vs. IBM Watson Studio

Find out what your peers are saying about Dataiku vs. IBM Watson Studio and other solutions. Updated: July 2024.

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