KNIME Business Hub vs Saturn Cloud comparison

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KNIME Business Hub

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Executive SummaryUpdated on Jul 27, 2025

KNIME Business Hub and Saturn Cloud operate in the data science and analytics sector. Saturn Cloud is deemed superior due to its advanced capabilities, while KNIME Business Hub is favored for its affordability and customer support.

Features: KNIME Business Hub offers comprehensive no-code workflow management, robust data integration, and a strong rule engine feature for creating lookup tables. Saturn Cloud stands out with its powerful cloud computing capabilities, GPU and CPU resource flexibility, and seamless integration with Jupyter notebooks.

Room for Improvement: KNIME Business Hub could enhance real-time collaboration, reduce complexity in setting up advanced data manipulations, and improve scalability for large datasets. Saturn Cloud would benefit from a simpler onboarding process, enhanced user interface design for those less tech-savvy, and more affordable pricing tiers for small teams.

Ease of Deployment and Customer Service: KNIME Business Hub offers intuitive deployment with robust customer support, making it accessible to a broad user base. Saturn Cloud provides extensive cloud-based resources, which are ideal for tech-savvy users, offering flexibility in deploying scalable solutions with strong technical support.

Pricing and ROI: KNIME Business Hub is cost-effective with a promising return on investment, thanks to its competitive pricing strategy. Saturn Cloud requires a higher initial investment but promises long-term benefits due to its advanced infrastructure and scalability, appealing to organizations prioritizing performance.

To learn more, read our detailed KNIME Business Hub vs. Saturn Cloud Report (Updated: July 2025).

KNIME Business Hub vs. Saturn Cloud

July 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

KNIME Business Hub

Ranking in Data Science Platforms

2nd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st)

Saturn Cloud

Ranking in Data Science Platforms

14th

Average Rating

10.0

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of August 2025, in the Data Science Platforms category, the mindshare of KNIME Business Hub is 11.9%, up from 10.5% compared to the previous year. The mindshare of Saturn Cloud is 0.3%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Laurence Moseley

Emeritus Professor of Health Services Research at University of South Wales

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,

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Filip Stefanovski

Works at a tech consulting company with 51-200 employees

Easy to use with good performance and collaborative features

My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer. Users could bid on unused compute capacity, potentially leading to significant cost savings during off-peak hours or for less time-critical tasks. Spot instances empower users with tighter budgets or fluctuating workloads to strategically leverage lower-cost resources for development, experimentation, and background tasks. This frees up on-demand instances for truly time-sensitive work.

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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

"Clear view of the data at every step of ETL process enables changing the flow as needed."

"Automation is most valuable. It allows me to automatically download information from different sources, and once I create a workflow, I can apply it anytime I want. So, there is efficiency at the same time."

"We can deploy the solution in a cluster as well."

"It provides very fast problem solving and I don't need to do much coding in it. I just drag and drop."

"The solution is very easy to use"

"I would rate the stability of KNIME a ten out of ten."

"Usability, and organising workflows in very neat manner. Controlling workflow through variables is something amazing."

"This solution is easy to use and it can be used to create any kind of model."

More KNIME Business Hub pros

"It didn't take long to see that Saturn Cloud could scale with my needs, providing more resources when required."

"They provide a centralized space for data, code, and results."

"There is plenty of computational resources (both GPU, CPU and disk space)."

"The feature I like the most about Saturn Cloud is that it has lightning-fast CPUs."

"Saturn Cloud supports GPU as part of the environment, which is essential for many computational tasks in machine learning projects. It also allows us to edit the environment, including the image, before we start the cloud resources. This feature lets us quickly set up the environment without the hassle of moving the data and code to another cloud device."

"It offered an excellent development environment while not touching our production cloud resources."

Cons

"KNIME is not good at visualization."

"I've had some problems integrating KNIME with other solutions."

"It's difficult to provide input on the improvement area because it's more of self-learning. However, there are times when I am not able to do certain things. I don't know if it's because the solution doesn't allow me or if it's because of the lack of knowledge."

"Not just for KNIME, but generally for software and analyzing data, I would welcome facilities for analyzing different sorts of scale data like Likert scales, Thurstone scales, magnitude ratio scales, and Guttman scales, which I don't use myself."

"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."

"I would prefer to have more connectivity."

"One thing to consider is that the prebuilt nodes may not always be a perfect fit for your specific needs, although most of the time, they work quite well."

"The program is not fit for handling very large files or databases (greater than 1GB); it gets too slow and has a tendency to crash easily."

More KNIME Business Hub cons

"Providing more detailed and beginner-friendly documentation, especially for advanced features, could greatly enhance the user experience."

"Saturn Cloud should include prebuilt images for advanced data science packages like LightGBM in the next release. If possible, they should also provide a Kaggle image, which contains the most common Python packages used in machine learning."

"We'd like to have the capability for installing more libraries."

"My main suggestion for improvement centers on pricing. Introducing a tier modelled after AWS spot instances would be a game-changer."

"It would be nice to have more hardware category options, like TPU coprocessors or ARM64 CPUs."

"Public Clouds integration and sandbox environments would be a true game changer."

Pricing and Cost Advice

"They have different versions, but I am using the open-source one."

"The price of KNIME is quite reasonable and the designer tool can be used free of charge."

"This is an open-source solution that is free to use."

"This is a free open-source solution."

"KNIME Business Hub is expensive for small companies."

"Scaling to the on-premises version requires a licensing fee per user that is a bit expensive in comparison to R, Python, and SAS."

"There is a Community Edition and paid versions available."

"KNIME is a cheap product. I currently use KNIME's open-source version."

More KNIME Business Hub pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Financial Services Firm

11%

Manufacturing Company

10%

University

Computer Software Company

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

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?

I have seen the potential to interact with Python, which is currently a bit limited. I am interested in the newer version, 5.4, when it becomes available. The machine learning and profileration asp...

What do you like most about Saturn Cloud?

There is plenty of computational resources (both GPU, CPU and disk space).

What needs improvement with Saturn Cloud?

What is your primary use case for Saturn Cloud?

I'm leveraging a cloud-based platform for competitive machine learning. Tight deadlines and resource-intensive models demand powerful hardware. The cloud provides scalable GPUs and RAM, letting me ...

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Product Reports

Download KNIME Business Hub product report

KNIME Business Hub

August 2025

Download Saturn Cloud product report

July 2025

Also Known As

KNIME Analytics Platform

No data available

Overview

KNIME Business Hub offers a no-code interface for data preparation and integration, making analytics and machine learning accessible. Its extensive node library allows seamless workflow execution across various data tasks.

KNIME Business Hub stands out for its user-friendly, no-code platform, promoting efficient data preparation and integration, even with Python and R. Its node library covers extensive data processes from ETL to machine learning. Community support aids users, enhancing productivity with minimal coding. However, its visualization, documentation, and interface require refinement. Larger data tasks face performance hurdles, demanding enhanced cloud connectivity and library expansions for deep learning efficiencies.

What are the most important features of KNIME Business Hub?

No-Code Interface: Simplifies data preparation without coding expertise.
Node Library: Supports diverse data tasks, including ETL and machine learning.
Python and R Integration: Seamlessly connects with popular programming languages.
Automation Capabilities: Enhances workflow productivity.
Visual Workflow Tools: Offers efficient data handling with visual aids.

What benefits and ROI can users expect from KNIME Business Hub?

Increased Productivity: Streamlined data tasks reduce development time.
Community Support: Access to extensive resources and user assistance.
Cost-Effective: Robust performance even on standard hardware.
Accessible Learning Curve: Simplicity allows easy access for educational and professional use.
Enhanced Prototyping: Ideal for decision model testing.

KNIME Business Hub finds application in data transformation, cleansing, and multi-source integration for analytics and reporting. Companies utilize it for predictive modeling, clustering, classification, machine learning, and automating workflows. Its coding-free approach suits educational and professional settings, assisting industries in data wrangling, ETLs, and prototyping decision models.

Knime

Saturn Cloud is a cloud-based data science and machine learning platform that provides a scalable, flexible, and easy-to-use environment for data scientists and machine learning engineers. Saturn Cloud offers a variety of features and tools for data science, including: Compute resources (including CPUs, GPUs, and Dask clusters), Storage (object, block, and ephemeral storage), Networking, a variety of integrations with ML tools such as JupyterLab, RStudio, and TensorFlow.

Saturn Cloud is a good choice for data scientists and machine learning engineers who need a scalable, flexible, and easy-to-use environment.

Saturn Cloud also makes it easy to collaborate with other data scientists and machine learning engineers. You can share projects, notebooks, and data with others, and you can track changes to your work.

Sample Customers

Infocom Corporation, Dymatrix Consulting Group, Soluzione Informatiche, MMI Agency, Estanislao Training and Solutions, Vialis AG

Nvidia, Snowflake, Kaggle, Faeth, Advantest, Stanford University, Senseye and more.