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 7.5, while IBM is ranked #11 with an average rating of 8.5. Dataiku holds a 12.1% mindshare in Data Science Platforms, compared to IBM’s 2.1% mindshare. Additionally, 100% of Dataiku users are willing to recommend the solution, compared to 100% of IBM users who would recommend it.

Dataiku

Read 9 Dataiku reviews

7,151 Views
5,935 Comparison Views

100% willing to recommend

IBM Watson Studio

Read 14 IBM Watson Studio reviews

2,237 Views
1,406 Comparison Views

100% willing to recommend

Dataiku

IBM Watson Studio

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Executive SummaryUpdated on Dec 5, 2024

IBM Watson Studio and Dataiku are data science platforms with IBM Watson Studio known for its advanced AI integration and scalability, while Dataiku is favored for its collaborative environment and ease of use, enhancing team collaboration and data processing.

Features: IBM Watson Studio offers sophisticated machine learning and deep learning tools, collaboration features for seasoned data professionals, and seamless AI capability integration. Alternatively, Dataiku provides a user-friendly drag-and-drop interface, integration with various data sources, and powerful data connectors, suitable for technical and non-technical users.

Room for Improvement: IBM Watson Studio could enhance its user interface to cater to less technical users and improve cost efficiency. Dataiku could expand its AI feature set, increase scalability for larger enterprises, and incorporate more advanced coding options for expert users.

Ease of Deployment and Customer Service: IBM Watson Studio supports comprehensive cloud integration, backed by extensive customer resources and tailored solutions. Dataiku's straightforward deployment model and guided support ensure smooth integration for teams with diverse skill levels.

Pricing and ROI: IBM Watson Studio has a premium pricing structure reflecting its advanced capabilities, making it suitable for organizations needing deep AI functionality. Dataiku offers cost-effective solutions with a quick ROI, focusing on usability and efficient onboarding, ideal for businesses optimizing resource allocation.

To learn more, read our detailed Dataiku vs. IBM Watson Studio Report (Updated: January 2025).

Buyer's Guide

Dataiku vs. IBM Watson Studio

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

Dataiku

Ranking in Data Science Platforms

7th

Average Rating

8.0

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

No ranking in other categories

IBM Watson Studio

Ranking in Data Science Platforms

11th

Average Rating

8.4

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

AI Development Platforms (9th)

Mindshare comparison

As of January 2025, in the Data Science Platforms category, the mindshare of Dataiku is 12.1%, up from 7.8% compared to the previous year. The mindshare of IBM Watson Studio is 2.1%, down from 2.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Sabrine Bendimerad

Data Scientist at Electricite De France

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.

Read full review

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

"If many teams are collaborating and sharing Jupyter notebooks, it's 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."

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

"Traceability is vital since I manage many cohorts, and collaboration is key as I have multiple engineers substituting for one another."

"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."

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

"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."

More Dataiku pros

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

"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."

"It is a very stable and reliable solution."

"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."

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

"Watson Studio is very stable."

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

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

More IBM Watson Studio pros

Cons

"The license is very expensive."

"Although known for Big Data, the processing time to process 1.8 billion records was terribly slow (five days)."

"The license is very expensive. It would be great to have an intermediate license for basic treatments that do not require extensive experience."

"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."

"Dataiku still needs some coding, and that could be a difference where business data scientists would go for DataRobot more than Dataiku."

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

"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."

More Dataiku cons

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

"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."

"Watson Studio would be improved with a clearer path for the deployment of docker images."

"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."

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

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

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

More IBM Watson Studio cons

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."

"IBM Watson Studio is a reasonably priced product"

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

"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

Financial Services Firm

18%

Educational Organization

16%

Manufacturing Company

Computer Software Company

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

University

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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

It is very expensive.

See all answers

What needs improvement with Dataiku Data Science Studio?

See all answers

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

We use the solution for data science and machine learning.

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?

The pricing of Watson Studio is justified by the benefits and power it offers.

See all answers

What needs improvement with IBM Watson Studio?

One area that could be improved is the backup and restoration of the database and the overall database configuration. There were also challenges with programming the network extension in the last p...

See all answers

Comparisons

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KNIME vs Dataiku

Compared 16% of the time

Alteryx vs Dataiku

Compared 11% of the time

RapidMiner vs Dataiku

Compared 11% of the time

Amazon SageMaker vs Dataiku

Compared 7% of the time

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Databricks vs IBM Watson Studio

Compared 27% of the time

Google Vertex AI vs IBM Watson Studio

Compared 17% of the time

Azure OpenAI vs IBM Watson Studio

Compared 15% of the time

Microsoft Azure Machine Learning Studio vs IBM Watson Studio

Compared 14% of the time

Amazon SageMaker vs IBM Watson Studio

Compared 2% of the time

More IBM Watson Studio Competitors

Product Reports

Buyer's Guide

Dataiku

January 2025

Download Dataiku product report

Buyer's Guide

IBM Watson Studio

January 2025

Download IBM Watson Studio product report

Also Known As

Dataiku DSS

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

Learn More

Dataiku

Video not available

IBM

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.

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

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

GroupM, Accenture, Fifth Third Bank

Buyer's Guide

Dataiku vs. IBM Watson Studio

January 2025

Free Report: Dataiku vs. IBM Watson Studio

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