Google Cloud Datalab vs KNIME Business Hub comparison

Google and Knime are both solutions in the Data Science Platforms category. Google is ranked #19 with an average rating of 7.5, while Knime is ranked #3 with an average rating of 7.9. Google holds a 1.6% mindshare in Data Science Platforms, compared to Knime’s 6.8% 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

1,246 Views
860 Comparison Views

80% willing to recommend

KNIME Business Hub

Read 60 KNIME Business Hub reviews

8,206 Views
5,908 Comparison Views

94% willing to recommend

Google Cloud Datalab

KNIME Business Hub

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

KNIME Business Hub and Google Cloud Datalab are competing products in the data analytics market. KNIME often has the upper hand in cost-effectiveness and customer service, while Google Cloud Datalab is preferred for its comprehensive feature set suitable for complex analysis.

Features: KNIME Business Hub offers visual workflow creation, integration with R, Python, and Java, and scalability for handling large datasets. Google Cloud Datalab provides integration with numerous data services, advanced machine learning capabilities, and support for custom Python and R scripts.

Room for Improvement: KNIME could enhance its offering by expanding machine learning algorithms, improving cloud deployment options, and offering better real-time data processing. Google Cloud Datalab might improve its interface for non-coders, reduce setup complexity, and offer more straightforward integration with third-party tools.

Ease of Deployment and Customer Service: KNIME Business Hub simplifies deployment with strong customer support, making it accessible for smaller teams. Google Cloud Datalab requires more technical setup but benefits from robust infrastructure and extensive Google support, catering to complex needs.

Pricing and ROI: KNIME Business Hub features an accessible pricing model attractive to SMEs, providing favorable ROI. Google Cloud Datalab, though more expensive initially, offers long-term value with its features and scalability, appealing to enterprises prioritizing comprehensive service.

To learn more, read our detailed Google Cloud Datalab vs. KNIME Business Hub Report (Updated: March 2026).

Buyer's Guide

Google Cloud Datalab vs. KNIME Business Hub

March 2026

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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

19th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Visualization (16th)

KNIME Business Hub

Ranking in Data Science Platforms

3rd

Average Rating

8.2

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

Data Mining (1st)

Mindshare comparison

As of March 2026, in the Data Science Platforms category, the mindshare of Google Cloud Datalab is 1.6%, up from 0.9% compared to the previous year. The mindshare of KNIME Business Hub is 6.8%, down from 11.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Science Platforms Mindshare Distribution
Product	Mindshare (%)
KNIME Business Hub	6.8%
Google Cloud Datalab	1.6%
Other	91.6%

Data Science Platforms

Featured Reviews

LijomonJose

System Architect at UST Global EspaÃ±a

dashboards are good and data visualization is more meaningful for the end-user

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 forcing your database with over a billion records, it can be tough for the end-user to manage the data. You need to have a single entity system in each environment. It's not because of GCP, but it would be great to have options like MongoDB or other similar tools in GCP. Then, we wouldn't always need to connect to the cloud and execute SQL queries. Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated. Once the data is collected, it should be easily sorted.

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DanieleGentile

BI Analyst at a photography company with 11-50 employees

Enables fast project development with efficient workflow modifications and promising features while offering modularity and reusability

KNIME is simple and allows for fast project development due to its reusability. I appreciate the ability to make improvements or modifications in existing workflows. Although I have not yet used the forecasting and customer profiling features, I find them promising. Another effective feature is the ability to use GET request objects to retrieve data from websites or APIs. This makes iterative steps easy to manage. It is more elastic and modern compared to SAP Data Services, allowing node creation and regrouping components or steps for reuse in different projects.

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

"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."

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

"Google Cloud Datalab is very customizable."

"All of the features related to the ETL are fantastic. That includes the connectors to other programs, databases, and the meta node function."

"I've tried to utilize KNIME to the fullest extent possible to replace Excel."

"Stability is excellent. I would give it a nine out of ten."

"The most valuable features of KNIME are its ability to convert your sub-workflow into a node. For example, the workflow has many individual native nodes that can be converted into a single node. This representation has simplified my workflow to a great extent. I can present my workflow in a very compact way."

"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."

"Usability and organizing workflows in a very neat manner, controlling workflow through variables is something amazing."

"The most useful features are the readily available extensions that speed up the work."

"Easy to connect with every database: We use queries from SQL, Redshift, Oracle."

More KNIME Business Hub pros

Cons

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

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

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

"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."

"We do not have much documentation in Portuguese."

"The diversity of native algorithms could be improved."

"It's very general in terms of architecture, and as a result, it doesn't support efficient running. That is, the speed needs to be improved."

"The documentation is lacking and it could be better."

"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."

"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."

"The dynamic column name feature could be improved. When attempting to automate processes involving columns, such as with companies, it becomes difficult to achieve the same result when we make changes."

"I would like it to have data visualitation capabilities. Today I'm still creating my own data visualtions tools to present my reports."

More KNIME Business Hub cons

Pricing and Cost Advice

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

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

"The product is cheap."

"KNIME Business Hub is expensive for small companies."

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

"KNIME is free as a stand-alone desktop-based platform but if you want to get a KNIME server then you can find the cost on their website."

"It's an open-source solution."

"There is no cost for using KNIME because it is an open-source solution, but you have to pay if you need a server."

"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."

"While there are certain limitations in functionality, you can still utilize it efficiently free of charge."

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

More KNIME Business Hub pricing and cost advice

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Top Industries

By visitors reading reviews

Financial Services Firm

25%

University

Outsourcing Company

Computer Software Company

Financial Services Firm

12%

University

Manufacturing Company

Educational Organization

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	16
Large Enterprise	29

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?

See all answers

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

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Altair RapidMiner vs Google Cloud Datalab

Compared 7% of the time

Darwin vs Google Cloud Datalab

Compared 4% of the time

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Compared 12% of the time

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Alteryx vs KNIME Business Hub

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Microsoft Azure Machine Learning Studio vs KNIME Business Hub

Compared 8% of the time

Microsoft Power BI vs KNIME Business Hub

Compared 7% of the time

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Product Reports

Buyer's Guide

Google Cloud Datalab

March 2026

Download Google Cloud Datalab product report

Buyer's Guide

KNIME Business Hub

March 2026

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

March 2026

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