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IBM Watson Studio vs KNIME 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:
 

Categories and Ranking

IBM Watson Studio
Ranking in Data Science Platforms
12th
Average Rating
8.4
Reviews Sentiment
7.1
Number of Reviews
14
Ranking in other categories
AI Development Platforms (10th)
KNIME
Ranking in Data Science Platforms
2nd
Average Rating
8.2
Reviews Sentiment
7.1
Number of Reviews
60
Ranking in other categories
Data Mining (1st)
 

Mindshare comparison

As of April 2025, in the Data Science Platforms category, the mindshare of IBM Watson Studio is 1.9%, down from 2.3% compared to the previous year. The mindshare of KNIME is 11.7%, up from 9.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms
 

Featured Reviews

Abilio Duarte - PeerSpot reviewer
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.
Laurence Moseley - PeerSpot reviewer
Has a drag-and-drop interface and AI capabilities
It's difficult to pinpoint one single feature because KNIME has so many. For starters, it's very easy to learn. You can get started with just a one-hour video. The drag-and-drop interface makes it user-friendly. For example, if you want to read an Excel file, drag the "read Excel file" node from the repository, configure it by specifying the file location, and run it. This gives you a table with all your data. Next, you can clean the data by handling missing values, selecting specific columns you want to analyze, and then proceeding with your analysis, such as regression or correlation. KNIME has over 4,500 nodes available for download. In addition, KNIME offers various extensions. For instance, the text processing extension allows you to process text data efficiently. It's more powerful than other tools like NVivo and Palantir. KNIME also has AI capabilities. If you're unsure about the next step, the AI assistant can suggest the most frequently used nodes based on your previous work. Another valuable feature is the integration with Python. If you need to perform a task that requires Python, you can simply add a Python node, write the necessary code,

Quotes from Members

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

Pros

"The system's ability to take a look at data, segment it and then use that data very differently."
"The solution is very easy to use."
"For me, the valuable feature of the solution is the one that I used, which was Jupyter notebooks."
"The scalability of IBM Watson Studio is great."
"Watson Studio is the most complete tool for AI projects."
"It is a very stable and reliable solution."
"It stands out for its substantial AI capabilities, offering a broad spectrum of features for crafting solutions that meet specific requirements."
"Stability-wise, it is a great tool."
"This solution is easy to use and especially good at data preparation and wrapping."
"I am impressed by the modularity and reusability in KNIME, especially the ability to make small adjustments to object configurations."
"The most valuable is the ability to seamlessly connect operators without the need for extensive programming."
"The tool's analytic capabilities are good."
"The product is very easy to understand even for non-analytical stakeholders. Sometimes we provide them with KNIME workflows and teach them how to run it on their own machine."
"It's a very powerful and simple tool to use."
"It has allowed us to easily implement advanced analytics into various processes."
"Stability is excellent. I would give it a nine out of ten."
 

Cons

"One area that could be improved is the backup and restoration of the database and the overall database configuration."
"The solution's interface is very slow at times."
"We would like to see it more web-based with more functionality."
"The main challenge lies in visibility and ease of use."
"The decision making in their decision making feature is less good than other options."
"More features in data virtualization would be helpful. The solution could use an interactive dashboard that could make exploration easier."
"Watson Studio would be improved with a clearer path for the deployment of docker images."
"I think maybe the support is an area where it lacks."
"Sometimes, we needed more space to handle larger operations, especially since our machines had limited space and memory due to Kubernetes clusters."
"They should look at other vendors like Alteryx that are more user friendly and modern."
"The overall user experience feels unpolished. In particular: Data field type conversion is a real hassle, and date fields are a hassle; documentation is pretty poor; user community is average at best."
"It could be easier to use."
"KNIME can improve by adding more automation tools in the query, similar to UiPath or Blue Prism. It would make the data collection and cleanup duties more versatile."
"The pricing needs improvement."
"They could add more detailed examples of the functionality of every node, how it works and how we can use it, to make things easier at the beginning."
"I would like to see better web scraping because every time I tried, it was not up to par, although you can use Python script."
 

Pricing and Cost Advice

"The pricing is generally reasonable and straightforward but can vary significantly depending on the specific workloads in use."
"IBM Watson Studio is a reasonably priced product"
"IBM Watson Studio is an expensive solution."
"Watson Studio's pricing is reasonable for what you get."
"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."
"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."
"KNIME is a cheap product. I currently use KNIME's open-source version."
"KNIME offers a free version"
"We're using the free academic license just locally. I went for KNIME because they have a free academic license."
"For beginners, the free desktop version is very attractive, but the full server version can be more expensive. I have only used the free version and it offers a fair pricing system. I have been promoting it to others without any compensation or request from the company, simply because I am enthusiastic about it. I am not aware of the pricing for the server version, but it seems to be widely used."
"KNIME is an open-source tool, so it's free to use."
"They have different versions, but I am using the open-source one."
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Computer Software Company
12%
Manufacturing Company
10%
Educational Organization
8%
Financial Services Firm
13%
Manufacturing Company
11%
Computer Software Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

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.
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...
What do you like most about KNIME?
Since KNIME is a no-code platform, it is easy to work with.
What is your experience regarding pricing and costs for KNIME?
I rate the product’s pricing a seven out of ten, where one is cheap and ten is expensive.
What needs improvement with KNIME?
For graphics, the interface is a little confusing. So, this is a point that could be improved.
 

Also Known As

Watson Studio, IBM Data Science Experience, Data Science Experience, DSx
KNIME Analytics Platform
 

Overview

 

Sample Customers

GroupM, Accenture, Fifth Third Bank
Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG
Find out what your peers are saying about IBM Watson Studio vs. KNIME and other solutions. Updated: April 2025.
848,716 professionals have used our research since 2012.