Cube vs Dundas BI comparison

Why PeerSpot?

Cube Dev and Dundas are both solutions in the Embedded BI category. Cube Dev is ranked #10 with an average rating of 8.4, while Dundas is ranked #15. Cube Dev holds a 0.9% mindshare in EBT, compared to Dundas’s 2.3% mindshare. Additionally, 100% of Cube Dev users are willing to recommend the solution, compared to 96% of Dundas users who would recommend it.

Cube

Read 5 Cube reviews

1,623 Views
325 Comparison Views

100% willing to recommend

Dundas BI

Read 21 Dundas BI reviews

2,468 Views
1,061 Comparison Views

96% willing to recommend

Cube

Dundas BI

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Cube and Dundas BI based on real PeerSpot user reviews.

Find out in this report how the two Embedded BI solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Cube vs. Dundas BI Report (Updated: September 2026).

Buyer's Guide

Cube vs. Dundas BI

September 2026

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Helped 915,341 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

Cube

Ranking in Embedded BI

10th

Average Rating

8.4

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

AI Data Analysis (18th)

Dundas BI

Ranking in Embedded BI

15th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Visualization (30th)

Mindshare comparison

As of October 2026, in the Embedded BI category, the mindshare of Cube is 0.9%, up from 0.4% compared to the previous year. The mindshare of Dundas BI is 2.3%, up from 1.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Embedded BI Mindshare Distribution
Product	Mindshare (%)
Cube	0.9%
Dundas BI	2.3%
Other	96.8%

Embedded BI

Featured Reviews

Amir Hassan

Data Scientist / Data Analytics Consultant at Fiverr International Ltd

Managing complex data hierarchies has improved analytics but still needs richer hierarchy types

To evaluate Cube's efficiency in handling large data volumes, I use metrics including F1 scores, AUC (Area Under the Curve), and RMC (Root Mean Squares), along with RSE (Root Square Errors). These factors help me gauge the efficiency of the algorithms clearly. Regarding improving Cube, I believe that when we are building hierarchies, I should enhance the type of hierarchies. For instance, in a few countries lacking state systems, there could be a hierarchy without proper categorization—such as continent, country, and city. Therefore, it would be beneficial if I could improve the hierarchies to retrieve data as quickly as possible from Cube.

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Ishwar Saswade

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.

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Quotes from Members

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

Pros

"NPS improved to approximately eight out of ten for our feature, and internally ticket handling times decreased, allowing reallocation of resources to higher-impact projects."

"Implementation was super smooth, and within two weeks we were up and running and the metrics were exposed in our app."

"Cube completes my tasks very easily and takes less time, allowing me to deliver any project in a timely manner to our clients."

"Cube's caching mechanism impacts my database query loads and response times significantly."

"They are brilliant! They will get back to you within a few hours usually and have a custom solution for your particular issue or requirement."

"As we are working as "digital transformakers," this product helped us to transform our clients' businesses to be data-driven, and added business value."

"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."

"Great software, it has a steep learning curve compared to the rest but so much more powerful because of it."

"The primary reasons why the client opted for Dundas BI were the cost, integration options, and creative visuals."

"The Layers feature organizes my work and makes it easier, instead of having to use scripting to show and hide when drilling down."

"End to end enterprise solution where there is only one portal to connect to data, ETL and visualize data in a flexible and interactive way with the ability for users to do their self service analysis."

"Currently Dundas BI enables us to provide more rich and interactive data visualizations for end users and this has helped to show performance issues."

More Dundas BI pros

Cons

"When it comes to the initial setup of Cube, I faced some challenges, including server issues when uploading data from local sources to the Unipi servers."

"I did not see any return on investment from Cube."

"Cube can be improved by enhancing data refresh over multiple tabs."

"Cube's interface can be challenging for non-technical users, needing clearer use-case examples to ease integration into workflows."

"There is no way to create a real template that is not exposed directly in the UI."

"As with any software there are features that are not operating as expected or that could be improved."

"Some wonky web-based issues but nothing serious."

"Matrix tables. Add them in !!! Currently, they don't do that, and it's hard to create some BI reports due to this."

"I would love to see more functions built in inside the application, instead of being scripted. They already did some of that in the new release, version 5, like forecasting, trend lines, etc., and I would love to see more of these kinds of calculations, which we used to do it by scripts before."

"This product needs incremental in-memory data loading."

"My current preference would be to work with Tableau or Power BI because they're more user intuitive and both have a good user interface."

"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."

"They still need to add some visualisations and could continue to improve the UI to allow users to easily find what they need within the many different options."

More Dundas BI cons

Pricing and Cost Advice

Information not available

"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."

"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."

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Top Industries

By visitors reading reviews

Construction Company

24%

Comms Service Provider

16%

Manufacturing Company

Outsourcing Company

17%

Construction Company

15%

Comms Service Provider

12%

Healthcare Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	3
Large Enterprise	7

Questions from the Community

What is your experience regarding pricing and costs for Cube?

The cost is around $1,500 per month. The exact number is not coming to my mind, but it is approximately $1,500 or $200 per month.

See all answers

What needs improvement with Cube?

See all answers

What is your primary use case for Cube?

In my recent projects with Cube, I was tasked with finding crashes and the reasons behind them using three datasets: people, crash, and vehicles. I had to merge them and preprocess them, clean and ...

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Compared 8% of the time

Microsoft Power BI vs Dundas BI

Compared 6% of the time

Logi Analytics vs Dundas BI

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Product Reports

Buyer's Guide

Cube

October 2026

Download Cube product report

Buyer's Guide

Dundas BI

October 2026

Download Dundas BI product report

Overview

Cube offers a dynamic business intelligence platform tailored for efficient data transformation and analytics. Engineered for scalability and performance, Cube adapts to complex data environments, enhancing data accessibility and operational insights.

Cube facilitates seamless integration into existing data ecosystems, bringing enhanced data processing capabilities to businesses. Utilized by companies seeking streamlined analytical processes, Cube's architecture supports custom data transformations while ensuring consistent data delivery. Its flexibility allows implementation across varied data sources, improving decision-making and operational efficiency.

What are the key features of Cube?

Data Modeling: Tailor data structures for business needs with ease.
Scalability: Handles increasing data loads efficiently.
Custom APIs: Provides REST and GraphQL APIs for versatile data interaction.
Caching Layer: Speeds up query performance significantly.
Security: Offers robust access controls for data protection.

What benefits should be expected from using Cube?

Improved Efficiency: Streamlines data management and analytics tasks.
Cost Reduction: Lowers operational costs by enhancing data processing.
Enhanced Decision-Making: Provides actionable insights faster.
Operational Flexibility: Adapts to evolving business requirements.

In industries like finance and retail, Cube is implemented to optimize data flow and analytics processing. Its features support complex data requirements, allowing these industries to improve market responsiveness and operational strategies.

Cube Dev

Dundas BI is a comprehensive business intelligence tool that supports data cube integration, dashboard personalization, and ETL functions, catering to market research dashboards, BI reports, and data visualizations.

Dundas BI offers drag-and-drop features, SharePoint integration, and extensive customization options for diverse data analysis. Though it requires developers for complex settings, it simplifies design tasks with an IDE that manages version control and efficient warehouse query results. Despite having a cumbersome interface and limited dynamic chart functionalities, it supports enterprise intelligence by connecting to diverse data sources and embedding seamlessly into systems like SharePoint and AWS.

What are the key features of Dundas BI?

Drag-and-Drop: Simplifies data manipulation and visualization tasks for non-technical users.
SharePoint Integration: Facilitates seamless data sharing and collaboration.
Scripting Options: Allows customization with JavaScript and HTML coding.
Data Cubes and Dashboards: Supports comprehensive data analysis with ETL functions.
Visualization Features: Offers personalization through interactive layering and dashboard management.
IDE with Version Control: Streamlines design processes and manages changes efficiently.

What benefits can users expect from Dundas BI?

Flexible Analysis: Enables personalized data exploration tailored to specific requirements.
Enhanced Efficiency: Improves processes with effective data management and fast warehouse query results.
Collaboration: Integrates easily with platforms like SharePoint to enhance teamwork.
Comprehensive Data Support: Connects to diverse data sources for a wide range of business applications.

Dundas BI finds applications in creating dashboards and reports across industries such as oil and gas, finance, and machine sensor analytics. It supports enterprises in integrating business intelligence into sales, marketing, and credit analysis by embedding into existing systems and platforms.

Dundas

Sample Customers

Information Not Available

Coca Cola, Siemens, Verizon, Microsoft, Pitney Bowes, Scotiabank, Pepperidge Farm, Shutterstock, Norwegian Government, Boeing, Guess Inc., BP, Bayer

Buyer's Guide

Cube vs. Dundas BI

September 2026

Free Report: Cube vs. Dundas BI

Find out what your peers are saying about Cube vs. Dundas BI and other solutions. Updated: September 2026.

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