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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
4th
Average Rating
8.2
Reviews Sentiment
6.9
Number of Reviews
119
Ranking in other categories
Data Integration (11th), Predictive Analytics (2nd), 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 (26th)
 

Mindshare comparison

As of October 2026, in the Data Science Platforms category, the mindshare of Alteryx One is 3.8%, down from 5.7% compared to the previous year. The mindshare of Google Cloud Datalab is 1.7%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Science Platforms Mindshare Distribution
ProductMindshare (%)
Alteryx3.8%
Google Cloud Datalab1.7%
Other94.5%
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 three data signs and data engineering are great features."
"Alteryx speeds up the time to obtain business answers/insights on data."
"Previously I have used consultants for the implementation but I can now do it myself."
"The main benefits that Alteryx provides for me are that it is easier to use, I do not have to code anything, so it is a non-coding tool, and it saves my time in that aspect."
"Alteryx integrates well; I can read data from a database on the web and import it into my Alteryx database, and it is very easy to use and quite user-friendly, which I enjoy."
"Something that would take an hour or two hours to do it manually can take five to 10 minutes for Alteryx."
"Alteryx has positively impacted my organization by saving time, improving accuracy, and enabling better decision-making."
"The amount of manual labor that we're saving by writing those workflows is huge."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"All of the features of this product are quite good."
"Google Cloud Datalab is very customizable."
"For me, it has been a stable product."
"The APIs are valuable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
 

Cons

"Configuration is very low and is not good for the customer end."
"The desktop license is expensive."
"Alteryx's predictive data models are pretty average and can be improved."
"Its most valuable feature lies in its functionality."
"There are no ready models to use in analytics."
"It would be great if Alteryx could take third party tools and incorporate them."
"In the database, it should be more functional and connect to more big data, especially using IPI."
"We need more documentation."
"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."
"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."
"The product must be made more user-friendly."
"The interface should be more user-friendly."
 

Pricing and Cost Advice

"There are some implementation services and internal effort costs at the beginning but there is nothing else."
"It can be a bit pricey, especially after the first year."
"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
"A designer and scheduler for $13K/year in total is pretty much earning you the money back in time and in other resources."
"It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions).​"
"The designer license costs 5000 euros. The server edition is 1000 euros."
"The desktop platform costs $5,000 per year. It's very costly."
"The license is really expensive, we cannot afford to have two or three. It takes away all the budget of my area."
"The pricing is quite reasonable, and I would give it a rating of four out of ten."
"The product is cheap."
"It is affordable for us because we have a limited number of users."
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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
18%
Comms Service Provider
14%
Financial Services Firm
11%
Outsourcing Company
9%
 

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
 

Overview

 

Sample Customers

AnalyticsIq Inc., belk, BloominBrands Inc., Cardinalhealth, Cineplex, Dairy Queen
Information Not Available
Find out what your peers are saying about Alteryx One vs. Google Cloud Datalab and other solutions. Updated: September 2026.
919,341 professionals have used our research since 2012.