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.

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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

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

"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."

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

"The APIs are valuable."

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

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

"We have been using these features extensively and we find them to be very valuable in achieving what we hoped to achieve with the tool."

"Valuable features include visual workflow creation, workflow variables (parameterisation), automatic caching of all intermediate data sets in the workflow, scheduling with the server."

"For organizations with a small team of data analysts or data scientists, it is a very easy tool to become familiar with predictive modeling, and makes it possible to hand over projects to colleagues without the need to extensively document them."

"It offers a node-based data integration and processing system connected through a user-friendly drag-and-drop interface. This makes it an excellent choice for data analytics and engineering tasks."

"The most valuable feature is the data wrangling, which is what I mainly use it for."

"KNIME is easy to learn."

"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."

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

More KNIME Business Hub pros

Cons

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

"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."

"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."

"The interface should be more user-friendly."

"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 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."

"There are a lot of tools in the product and it would help if they were grouped into classes where you can select a function, rather than a specific tool."

"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."

"It needs more examples, use cases, and MOOC to learn, especially with respect to the algorithms and how to practically create a flow from end-to-end."

"I think the data visualization part is the area most in need of improvement."

"One area that could be improved is increasing awareness and adoption of KNIME among organizations. Despite its capabilities, it is not as well-known as other tools. The advertising and marketing efforts to reach out to companies and universities have not been very successful."

"When deploying models on a regular system, it works fine. However, when accuracy is a priority, hyperparameter tuning is necessary. Currently, KNIME doesn't have the best tools for this which they could improve in this area."

"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."

More KNIME Business Hub cons

Pricing and Cost Advice

"The product is cheap."

"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."

"I use the tool's free version."

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

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

"With KNIME, you can use the desktop version free of charge as much as you like. I've yet to hit its limits. If I did, I'd have to go to the server version, and for that you have to pay. Fortunately, I don't have to at the moment."

"It's an open-source solution."

"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."

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

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

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?

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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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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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Dataiku vs KNIME Business Hub

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Alteryx vs KNIME Business Hub

Compared 8% of the time

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

More KNIME Business Hub Competitors

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

Free Report: Google Cloud Datalab vs. KNIME Business Hub

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