Dundas Dashboard vs Google Cloud Datalab comparison

Dundas and Google are both solutions in the Data Visualization category. Dundas is ranked #51, while Google is ranked #18 with an average rating of 7.8. Dundas holds a 0.2% mindshare in DV, compared to Google’s 0.6% mindshare. Additionally, 88% of Dundas users are willing to recommend the solution, compared to 80% of Google users who would recommend it.

Dundas Dashboard

Read 9 Dundas Dashboard reviews

75 Views
37 Comparison Views

88% willing to recommend

Google Cloud Datalab

Read 6 Google Cloud Datalab reviews

135 Views
116 Comparison Views

80% willing to recommend

Dundas Dashboard

Google Cloud Datalab

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jan 1, 2025

Dundas Dashboard and Google Cloud Datalab are analytics solutions competing in data handling and visualization. Dundas Dashboard appears to have an upper hand in customization and visualization, while Google Cloud Datalab leads in integration and data processing.

Features: Dundas Dashboard offers customizable UI with features like interactive sorting, dynamic grouping, and excellent charting controls. It connects seamlessly to various data sources and allows for advanced scripting capabilities with C#. Google Cloud Datalab features robust infrastructure and seamless development environment setup, focusing on Python libraries. Its integration with Google Cloud enhances data pipeline design and efficient resource utilization.

Room for Improvement: Dundas Dashboard could enhance mobile compatibility, ease of use for non-technical users, and reduce initial setup time. Google Cloud Datalab might improve its AI configuration limits, streamline node management, and offer better support for smaller datasets.

Ease of Deployment and Customer Service: Dundas Dashboard supports both on-premise and cloud deployment, offering flexible options and strong customer support. Google Cloud Datalab focuses on cloud deployment and benefits from Google's infrastructure, though setup can be complex.

Pricing and ROI: Dundas Dashboard entails a higher upfront cost but promises significant ROI with its tailored analytics solutions. Google Cloud Datalab provides cost-effective pricing and scalability, offering potential high ROI in data-centric environments.

To learn more, read our detailed Dundas Dashboard vs. Google Cloud Datalab Report (Updated: March 2025).

Buyer's Guide

Dundas Dashboard vs. Google Cloud Datalab

March 2025

Download the complete report

Helped 846,617 peers since 2012

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 Dashboard

Ranking in Data Visualization

51st

Average Rating

7.6

Reviews Sentiment

7.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud Datalab

Ranking in Data Visualization

18th

Average Rating

7.8

Reviews Sentiment

6.4

Number of Reviews

Ranking in other categories

Data Science Platforms (16th)

Mindshare comparison

As of April 2025, in the Data Visualization category, the mindshare of Dundas Dashboard is 0.2%, up from 0.1% compared to the previous year. The mindshare of Google Cloud Datalab is 0.6%, up from 0.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization

Featured Reviews

it_user238920

Data Warehouse Engineer III at a healthcare company with 1,001-5,000 employees

It has significantly increased our productivity but it forces users who are viewing the reports for the first time to install Silverlight which isn't supported by Google Chrome.

Previously, we had five people doing separate reports in Excel. Each report looked different, and every month we would have to recreate them with a different set of data. With Dundas, we can now enforce a standard using themes so that all the reports have the same look and feel no matter who creates it. Also, it now automates our monthly reports so all we need to do is update the data in a database, and the report updates real-time. From an automation standpoint this has significantly increased our productivity and ability to get nice looking reports out with short turn around.

Read full review

Nilesh Gode

Project Manager - Data Science at Mettler-Toledo International Inc.

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.

Read full review

Quotes from Members

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

Pros

"I haven't contacted support, but my colleagues said they were satisfied with the response."

"For me, it has been a stable product."

"The infrastructure is highly reliable and efficient, contributing to a positive experience."

"Google Cloud Datalab is very customizable."

"All of the features of this product are quite good."

"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

"I was a little disappointed in Dundas. I found other tools like Tableau and Power BI to be more powerful. I intended to use Dundus as an organizational BI tool, but I think there's a significant learning curve with Dundas versus the others."

"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."

"The interface should be 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."

"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

Information not available

"The product is cheap."

"It is affordable for us because we have a limited number of users."

"The pricing is quite reasonable, and I would give it a rating of four out of ten."

See which vendors are best for you

Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.

See recommendations

846,617 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Computer Software Company

12%

University

11%

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

Ask a question

Earn 20 points

What do you like most about Google Cloud Datalab?

Google Cloud Datalab is very customizable.

See all answers

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...

See all answers

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 ...

See all answers

Comparisons

No data available

IBM SPSS Statistics vs Google Cloud Datalab

Compared 45% of the time

Databricks vs Google Cloud Datalab

Compared 31% of the time

Cloudera Data Science Workbench vs Google Cloud Datalab

Compared 23% of the time

More Google Cloud Datalab Competitors

Product Reports

Buyer's Guide

Data Visualization

April 2025

Download Dundas Dashboard product report

Buyer's Guide

Google Cloud Datalab

April 2025

Download Google Cloud Datalab product report

Overview

Dashboards provide a central location for users to access, interact and analyze up-to-date information so they can make smarter, data-driven decisions. Good dashboard software enables you to monitor and measure performance and metrics in real-time and on the go. You can visualize and analyze data and focus on Key Performance Indicators (KPIs) from across the organization on a dashboard, helping you gain valuable insight and drive quick and accurate decision making.

Dundas

Cloud Datalab is a powerful interactive tool created to explore, analyze, transform and visualize data and build machine learning models on Google Cloud Platform. It runs on Google Compute Engine and connects to multiple cloud services easily so you can focus on your data science tasks.

Google

Sample Customers

Coca Cola, Siemens, HP, Verizon, Microsoft, NHS, Scotiabank, KPMG, Bayer, Schneider Electric, Teck, Pitney Bowes, Amtrak

Information Not Available

Buyer's Guide

Dundas Dashboard vs. Google Cloud Datalab

March 2025

Free Report: Dundas Dashboard vs. Google Cloud Datalab

Find out what your peers are saying about Dundas Dashboard vs. Google Cloud Datalab and other solutions. Updated: March 2025.

DOWNLOAD NOW

846,617 professionals have used our research since 2012.

See our Dundas Dashboard vs. Google Cloud Datalab report.

See our list of best Data Visualization vendors.

We monitor all Data Visualization reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.