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Google Cloud Datalab vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

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 Visualization
19th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (18th)
SAS Visual Analytics
Ranking in Data Visualization
6th
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
40
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.7%, up from 0.5% compared to the previous year. The mindshare of SAS Visual Analytics is 3.4%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization
 

Featured Reviews

Nilesh Gode - PeerSpot reviewer
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.
Danna Nemeth - PeerSpot reviewer
Provides ease of use and has advanced data visualization capabilities
The initial setup can be complex and depends on the specific environment and licensing. It typically requires some time and effort to configure properly. It can be deployed as a SaaS solution or on-premises. It typically requires an installer and someone knowledgeable in business analytics and data management. Generally, it does not require extensive maintenance, though occasional upkeep might be necessary.

Quotes from Members

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

Pros

"The APIs are valuable."
"All of the features of this product are quite good."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
"Google Cloud Datalab is very customizable."
"For me, it has been a stable product."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"I use Visual Analytics for enterprise reporting."
"Great for handling complex data models."
"Simplifies report designs and quickly displays tables and graphs."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The tool's most valuable features are its ease of use and advanced data visualization capabilities."
"It's a stable, reliable product."
"It integrates well with SAS, making it simple and quick for developers."
 

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."
"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."
"Even if your application is always connected to its database, the processing can be cumbersome. It shouldn't be so complicated."
"I haven't come across any missing features."
"The product is expensive and needs the integration of more languages."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI."
"The installation process can be a bit complex."
"Some capabilities are missing compared to Power BI, especially when working with spreadsheet types."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
 

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."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"The product is quite expensive."
"The product is expensive."
"$10,000 per annum for an enterprise license."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
"Licensing is simple."
"It's approximately $114,000 US dollars per year."
"The cost of the solution can be expensive. There is an additional cost for users."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
University
7%
Government
7%
Computer Software Company
6%
Financial Services Firm
20%
Government
11%
Computer Software Company
10%
University
7%
 

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.
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...
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 ...
What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps w...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may be that our current subscription does not include AI-enabled features, but I wo...
 

Also Known As

No data available
SAS BI
 

Overview

 

Sample Customers

Information Not Available
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
Find out what your peers are saying about Google Cloud Datalab vs. SAS Visual Analytics and other solutions. Updated: July 2025.
865,384 professionals have used our research since 2012.