Google Cloud Datalab vs KNIME Business Hub comparison

Google and Knime are both solutions in the Data Science Platforms category. Google is ranked #16 with an average rating of 7.8, while Knime is ranked #2 with an average rating of 8.0. Google holds a 1.0% mindshare in Data Science Platforms, compared to Knime’s 11.9% mindshare. Additionally, 80% of Google users are willing to recommend the solution, compared to 94% of Knime users who would recommend it.

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

767 Views
606 Comparison Views

80% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

10,613 Views
7,429 Comparison Views

94% willing to recommend

Google Cloud Datalab

KNIME Business Hub

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Executive SummaryUpdated on Jul 27, 2025

KNIME Business Hub and Google Cloud Datalab are competing products in advanced analytics platforms. Google Cloud Datalab holds the upper hand due to its extensive features and capability, despite its higher costs.

Features: KNIME Business Hub stands out with seamless workflow automation, advanced data manipulation, and an intuitive visual programming interface. Google Cloud Datalab supports big data analytics, integrates smoothly with machine learning, and is highly scalable, making it a strong option for large data projects.

Room for Improvement: KNIME Business Hub could enhance its scalability, include more comprehensive support for machine learning frameworks, and improve big data handling capabilities. Google Cloud Datalab may improve user interface complexity, reduce costs, and enhance the local data processing performance.

Ease of Deployment and Customer Service: Google Cloud Datalab is tailored for large-scale operations with cloud-based deployment and strong support from Google’s infrastructure. KNIME Business Hub offers a straightforward deployment process, often resulting in faster implementation and more personalized customer service, catering well to smaller teams.

Pricing and ROI: KNIME Business Hub offers better pricing flexibility with lower setup costs, appealing to budget-conscious organizations. Google Cloud Datalab requires higher initial investment but promises substantial ROI for extensive data projects, justifying its cost for those maximizing its full spectrum of features.

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

Buyer's Guide

Google Cloud Datalab vs. KNIME Business Hub

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

Google Cloud Datalab

Ranking in Data Science Platforms

16th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Visualization (19th)

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)

Mindshare comparison

As of July 2025, in the Data Science Platforms category, the mindshare of Google Cloud Datalab is 1.0%, down from 1.0% compared to the previous year. The mindshare of KNIME Business Hub is 11.9%, up from 10.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms

Featured Reviews

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

Easy to setup, stable and easy to design data pipelines

The scalability is average. We have not faced any issues with scalability. There are more than 500 end users using this solution in our company. It is an integral part of the daily operations. The usage pattern is not a one-time thing; employees regularly access and utilize the application. We use it at a global level with a scattered user base. This means that users don't all use the application at the same time. So, around 300 out of 500 employees use the solution, and this usage is spread out throughout the day.

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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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Quotes from Members

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

Pros

"The infrastructure is highly reliable and efficient, contributing to a positive experience."

"Google Cloud Datalab is very customizable."

"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."

"The APIs are valuable."

"All of the features of this product are quite good."

"For me, it has been a stable product."

"It allows for a user-friendly approach where you can simply drag and drop elements to create your model, which is a convenient and effective idea."

"We leverage KNIME flexibility in order to query data from our database and manipulate them for any ad-hoc business case, before presenting results to stakeholders."

"It also has very good fundamental machine learning. It has decision trees, linear regression, and neural nets. It has a lot of text mining facilities as well. It's fairly fully-featured."

"The product is open-source and therefore free to use."

"I am impressed by the modularity and reusability in KNIME, especially the ability to make small adjustments to object configurations."

"Easy to use, stable, and powerful."

"The hardest part is keeping a tidy workspace because of the many nodes involved. When teaching, it would be helpful if there was more emphasis on how to group nodes effectively. For example, turning frequently used nodes into a single component can simplify things."

"KNIME is more intuitive and easier to use, which is the principal advantage."

More KNIME Business Hub pros

Cons

"The product must be made more user-friendly."

"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."

"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."

"We have also encountered challenges during our transition period in terms of data control and segmentation. The management of each channel and data structure as it has its own unique characteristics requires very detailed and precise control. The allocation should be appropriate and the complexity increases due to the different time zones and geographic locations of our clients. The process usually involves migrating the existing database sets to gcp and ensure data integrity is maintained. This is the only challenge that we faced while navigating the integers of the solution and honestly it was an interesting and unique experience."

"The interface should be more user-friendly."

"There is room for improvement in the graphical user interface. So that the initial user would use it properly, that would be a good option."

"It could input more data acquisitions from other sources and it is difficult to combine with Python."

"It could be easier to use."

"KNIME needs to provide more documentation and training materials, including webinars or online seminars."

"The visualization functionalities are not good (cannot be compared to, for instance, the possibilities in R)."

"The main issue with KNIME is that it sometimes uses too much CPU and RAM when working with large amounts of data."

"Compared to the other data tools on the market, the user interface can be improved."

"The graphic features of KNIME need improvement"

"If they had a more structured training model it would be very helpful."

More KNIME Business Hub cons

Pricing and Cost Advice

"It is affordable for us because we have a limited number of users."

"The product is cheap."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

"It is expensive to procure the license."

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

"At this time, I am using the free version of Knime."

"KNIME Business Hub is expensive for small companies."

"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 offers a free version"

"KNIME assets are stand alone, as the solution is open source."

"I use the open-source version."

More KNIME Business Hub pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

27%

Manufacturing Company

Retailer

University

Financial Services Firm

12%

Manufacturing Company

10%

University

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

See all answers

What needs improvement with Google Cloud Datalab?

Access is always via URL, and unless your network is fast, it would be a little tough in India. In India, if we had a faster network, it would be easier. In a big data environment, like when forcin...

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What is your primary use case for Google Cloud Datalab?

It's for our daily data processing, and there's a batch job that executes it. The process involves more than ten servers or systems. Some of them use a mobile network, some are ONTAP networks, and ...

See all answers

What do you like most about KNIME?

Since KNIME is a no-code platform, it is easy to work with.

See all answers

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.

See all answers

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...

See all answers

Comparisons

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Compared 31% of the time

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Compared 27% of the time

Oracle Analytics Cloud vs Google Cloud Datalab

Compared 15% of the time

Cloudera Data Science Workbench vs Google Cloud Datalab

Compared 14% of the time

Anaconda Business vs Google Cloud Datalab

Compared 13% of the time

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Compared 26% of the time

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Compared 14% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 14% of the time

Alteryx vs KNIME Business Hub

Compared 8% of the time

Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

July 2025

Download Google Cloud Datalab product report

Buyer's Guide

KNIME Business Hub

July 2025

Download KNIME Business Hub product report

Also Known As

No data available

KNIME Analytics Platform

Overview

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

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

Sample Customers

Information Not Available

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

Buyer's Guide

Google Cloud Datalab vs. KNIME Business Hub

July 2025

Free Report: Google Cloud Datalab vs. KNIME Business Hub

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