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Dundas BI vs Google Cloud Datalab comparison

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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

Dundas BI
Ranking in Data Visualization
30th
Average Rating
8.6
Reviews Sentiment
7.0
Number of Reviews
21
Ranking in other categories
Embedded BI (15th)
Google Cloud Datalab
Ranking in Data Visualization
26th
Average Rating
7.8
Reviews Sentiment
6.4
Number of Reviews
6
Ranking in other categories
Data Science Platforms (22nd)
 

Mindshare comparison

As of October 2026, in the Data Visualization category, the mindshare of Dundas BI is 0.9%, up from 0.6% compared to the previous year. The mindshare of Google Cloud Datalab is 1.3%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Google Cloud Datalab1.3%
Dundas BI0.9%
Other97.8%
Data Visualization
 

Featured Reviews

Ishwar Saswade - PeerSpot reviewer
Consultant at Techknomatic Services Private Limited
Has a lot of integration and visualization options, but can't be easily used by business users, and working with the color palette is difficult
With Dundas BI, we do not have end-users apart from the developers. End-users do not find it easy to create their own reports. Most of the implementations I have seen require a developer team for creating the visuals, and they then give them to end-users. A self-serve part where end-users or business users can create their own reports would help in terms of the adoption of Dundas BI. Currently, business users find it difficult to work with Dundas BI because there are so many settings that they don't know what they need to do. Even when a developer starts working on Dundas BI, he needs to spend at least one month or so getting used to the functionalities of Dundas BI. Even then, it is not easy to remember where or how they made a certain property change. It takes at least one month for a developer to get acquainted with it. Working with the color palette is difficult in Dundas BI. They can work on different color palettes and make them organized and user-friendly. It would help a long way. Most of the time, the users face challenges in assigning colors to the fields that they have created or to the dimensions and measures in a chart. Dundas can further reduce the number of settings they have. When you create any chart in Dundas, you get a lot of features to control each setting, which is pretty useful for BI, but for end-users, it is difficult to identify the exact settings to change a property. I would love it if some of the options come pre-selected. If some of the settings are set to best practices by default, it will be helpful. Whenever we have any issues, the error messages that we get in Dundas BI are not very helpful in identifying the root cause. Making these changes will bring a lot of change to the end-user experience.
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

"Great software, it has a steep learning curve compared to the rest but so much more powerful because of it."
"We use Dundas to report on machine sensor data and create dashboards."
"The primary reasons why the client opted for Dundas BI were the cost, integration options, and creative visuals."
"Out of the box, Dundas BI does almost everything needed for an intuitive dashboard, and anything else can be scripted."
"You don’t have to spend lots of money to have a BI system."
"It was quite easy to use. The UI was basically drag-and-drop based. So, even if you were a beginner at coding software or something else, it would be easy to catch up on Dundas BI."
"As we are working as "digital transformakers," this product helped us to transform our clients' businesses to be data-driven, and added business value."
"Currently Dundas BI enables us to provide more rich and interactive data visualizations for end users and this has helped to show performance issues."
"For me, it has been a stable product."
"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."
"All of the features of this product are quite good."
"The infrastructure is highly reliable and efficient, contributing to a positive experience."
 

Cons

"For every object, references are generated, but sometimes, there was a problem with the references overlapping each other. Everything would go off. It would stop working, and then from the admin side, people had to do something to bring it up again."
"The addition of funnel charts to the visualization options would be great."
"Matrix tables. Add them in !!! Currently, they don't do that, and it's hard to create some BI reports due to this."
"Documentation improvements or additions to help with the learning curve when starting with BI, but once you get in the groove it is fantastic and makes me highly productive and provides my customers with beautiful data visualizations without very much effort on my part."
"Out of box connection to web services to read its data."
"I cannot select a visualization and see what filters are connected to it."
"Currently, business users find it difficult to work with Dundas BI because there are so many settings that they don't know what they need to do."
"The API they have can do just about anything, but their documentation on the API and examples are only for some of the basics."
"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."
"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."
"Connectivity challenges for end-users, particularly when loading data, environments, and libraries, need to be addressed for an enhanced user experience."
 

Pricing and Cost Advice

"I am not majorly involved in its licensing. We are not the end license purchaser of the Dundas BI. It costs somewhere around $4,000 a year for the enterprise solution, but I am not sure."
"I'm not aware of its cost. Its licensing was probably role-wise. Most of us had reader access, editor access, or developer access. For admin, there were certain restrictions. So, I'm assuming it had role-wise licensing."
"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."
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Top Industries

By visitors reading reviews
Outsourcing Company
17%
Construction Company
15%
Comms Service Provider
12%
Healthcare Company
8%
Construction Company
18%
Comms Service Provider
13%
Financial Services Firm
11%
Outsourcing Company
10%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise3
Large Enterprise7
No data available
 

Overview

 

Sample Customers

Coca Cola, Siemens, Verizon, Microsoft, Pitney Bowes, Scotiabank, Pepperidge Farm, Shutterstock, Norwegian Government, Boeing, Guess Inc., BP, Bayer
Information Not Available
Find out what your peers are saying about Dundas BI vs. Google Cloud Datalab and other solutions. Updated: September 2026.
915,341 professionals have used our research since 2012.