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Google Cloud Datalab vs Yellowfin 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
17th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (16th)
Yellowfin
Ranking in Data Visualization
26th
Average Rating
8.0
Reviews Sentiment
7.5
Number of Reviews
2
Ranking in other categories
BI (Business Intelligence) Tools (42nd), Reporting (29th), Embedded BI (13th)
 

Mindshare comparison

As of May 2025, in the Data Visualization category, the mindshare of Google Cloud Datalab is 0.6%, up from 0.4% compared to the previous year. The mindshare of Yellowfin is 0.7%, up from 0.7% 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.
it_user86469 - PeerSpot reviewer
Very scalable design and easy to implement. It can reside alongside more complex enterprise systems.
I have been involved with the implementation of many BI products; many products are expensive, require complex and difficult implementations, and once installed it is only the start of a lengthy consulting engagement to get the installation to where the customer wants it to be. Yellowfin is the antithesis of this; it installs easily, the configuration is done quickly, and the user can come up to speed quickly (especially if they have used other BI products). As an implementer, this changes how we operate, because we can focus on providing the customer what they want, not just on technical wizardry to get the product operational.

Quotes from Members

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

Pros

"Google Cloud Datalab is very customizable."
"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."
"The APIs are valuable."
"In MLOps, when we are designing the data pipeline, the designing of the data pipeline is easy in Google Cloud."
"It is a central source of up-to-date data and information."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"It is able to create information dashboards for various users' throughout."
 

Cons

"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."
"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 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."
"It needs more presentation/charting capabilities and integration with GIS."
 

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."
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Top Industries

By visitors reading reviews
Financial Services Firm
20%
University
12%
Computer Software Company
10%
Manufacturing Company
7%
Computer Software Company
17%
Educational Organization
14%
Government
12%
Healthcare Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
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 ...
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Overview

 

Sample Customers

Information Not Available
NCS, Universitat Konstanz, AT&T, PG&E, SingTel, InternetStores
Find out what your peers are saying about Google Cloud Datalab vs. Yellowfin and other solutions. Updated: April 2025.
850,236 professionals have used our research since 2012.