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Alteryx One vs Google Cloud Datalab comparison

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Comparison Buyer's Guide

Executive SummaryUpdated on Oct 16, 2026

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

Alteryx One
Ranking in Data Science Platforms
5th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
119
Ranking in other categories
Data Integration (12th), Predictive Analytics (1st), Data Preparation Tools (1st)
Google Cloud Datalab
Ranking in Data Science Platforms
22nd
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Visualization (25th)
 

Mindshare comparison

As of November 2026, in the Data Science Platforms category, the mindshare of Alteryx One is 4.1%, down from 5.2% compared to the previous year. The mindshare of Google Cloud Datalab is 1.8%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Alteryx One4.1%
Google Cloud Datalab1.8%
Other94.1%
Data Science Platforms
 

Featured Reviews

ManojBehera - PeerSpot reviewer
Senior Staff Cyber Security Cloud Data Architect at GE Healthcare
Automated complex ETL workflows have reduced coding effort and improved data integration
One area for improvement is in integrating mostly the data which comes from telemetry, where I can see some sort of improvisations can be made. It is a massive amount of unstructured data, and I believe Alteryx is able to handle it, but there can be some improvements. Suggestions for improvements in Alteryx include areas for increasing efficiency, particularly in processing telemetry data, which involves dealing with large volumes of unstructured data. Additionally, I believe when we use filter tools immediately after the input source, there can be slowdowns when handling massive data. The user experience of Alteryx is generally good, but there are areas for improvement from a user's perspective, particularly regarding user interface enhancements. I think there's always room for improvement, but otherwise, Alteryx has been a great tool for me. We haven't experienced significant disruptions while increasing data volumes, though I sense there could be performance issues as data grows exponentially. This is an area that could use improvement in Alteryx.
LJ
System Architect at UST Global España
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.

Quotes from Members

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

Pros

"The product's most valuable features include its ease of use for non-technical users and machine learning capabilities."
"Overall, if you are looking for data management, if you need to improve your ability to blend data and to get insights out of data, Alteryx is the way to go."
"The main valuable aspect is the simplicity of use across all features."
"Alteryx offers a cognitive approach to better understand data and purposes."
"The solution is user-friendly."
"The tool's most valuable feature is its API connections. Its predictive analytics feature has helped us pass some ETL processes to analysts rather than developers."
"The support is very good overall; we are satisfied with their level of service, and they are knowledgeable and responsive."
"Any company considering a data processing platform which is light, offers good flexibility, and deals with moderate or low sized data, will find this is a really good spend."
"All of the features of this product are quite good."
"Google Cloud Datalab is very customizable."
"The APIs are valuable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"For me, it has been a stable product."
 

Cons

"It would be great to create the final users' visualization within Alteryx."
"It would be nice if they can provide Alteryx with more options for In-DB connectivity. That functionality is there, but it doesn't include all software we are connecting."
"A colleague of mind mentioned that the solution should have more options for the visualization of data."
"It is a little bit pricey."
"We are hoping that the NLP features will also support Chinese characters."
"Alteryx needs to improve its web governance."
"The principal problem is the pricing. They're expensive products."
"It would be great if Alteryx could take third party tools and incorporate them."
"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."
"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."
"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 product must be made more user-friendly."
"The interface should be more user-friendly."
 

Pricing and Cost Advice

"There is a license required for this solution."
"​Very transparent.​"
"Alteryx is an expensive solution."
"I rate Alteryx Designer a six out of ten for pricing."
"Alteryx Designer is a very expensive solution."
"The licenses are expensive, making it difficult to consider acquiring additional licenses to the existing ones."
"The pricing is bit expensive."
"The pricing is $5000 per year per production license."
"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."
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Top Industries

By visitors reading reviews
Financial Services Firm
19%
Manufacturing Company
9%
Construction Company
8%
Outsourcing Company
7%
Construction Company
17%
Comms Service Provider
14%
Outsourcing Company
11%
Financial Services Firm
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business46
Midsize Enterprise20
Large Enterprise73
No data available
 

Questions from the Community

What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
One of the differences is that with Alteryx you can use it as an ETL and analytics tool. Please connect with me directly if you want to know more.
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
Alteryx is an extremely easy and flexible data tool, flexible in terms of drag and drop toolset and also has python, R integrations if your team requires this. It can handle over 2 billion rows of...
What is the Biggest Difference Between Alteryx and IBM SPSS Modeler?
I am not familiar with IBM SPSS Modeler, therefore, I cannot compare these two products. Regarding Alteryx I can say the following: - An excellent desktop tool for Data Prep and analytics. - Featu...
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Also Known As

Alteryx Designer Cloud, Alteryx Designer
No data available
 

Interactive Demo

Demo not available
 

Overview

 

Sample Customers

Siemens Energy, Bank of America, Coca-Cola, BT, Papa Johns, McLaren Racing
Information Not Available
Find out what your peers are saying about Alteryx One vs. Google Cloud Datalab and other solutions. Updated: September 2026.
920,574 professionals have used our research since 2012.