Dundas BI vs Oracle Analytics Cloud comparison

Why PeerSpot?

Dundas and Oracle are both solutions in the Data Visualization category. Dundas is ranked #30, while Oracle is ranked #15 with an average rating of 8.0. Dundas holds a 0.9% mindshare in DV, compared to Oracle’s 2.1% mindshare. Additionally, 96% of Dundas users are willing to recommend the solution, compared to 77% of Oracle users who would recommend it.

Dundas BI

Read 21 Dundas BI reviews

2,631 Views
1,658 Comparison Views

96% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

7,424 Views
3,044 Comparison Views

77% willing to recommend

Dundas BI

Oracle Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Dundas BI and Oracle Analytics Cloud are competitive products in the business intelligence and analytics market. Oracle Analytics Cloud seems to have the upper hand with its comprehensive features, despite higher costs, appealing to those seeking extensive analytics capabilities.

Features: Dundas BI offers powerful dashboard creation, flexible data visualization, and embedding options. Oracle Analytics Cloud stands out with advanced data management, machine learning integration, and predictive analytics capabilities.

Room for Improvement: Dundas BI could enhance its advanced analytics integration and scalability for larger enterprises. It may also improve its support for machine learning models. Oracle Analytics Cloud could simplify its deployment complexity, improve user-friendliness for beginners, and offer more cost-effective options for smaller businesses.

Ease of Deployment and Customer Service: Dundas BI involves a straightforward deployment process and offers dedicated customer support for a smooth transition. Oracle Analytics Cloud provides a cloud-centric deployment model emphasizing scalability with extensive support infrastructure but may pose complexity challenges.

Pricing and ROI: Dundas BI has a competitive pricing structure, appealing to cost-conscious businesses with a solid ROI. Oracle Analytics Cloud involves higher setup costs but offers significant ROI for organizations leveraging its comprehensive analytics features.

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

Buyer's Guide

Dundas BI vs. Oracle Analytics Cloud

September 2026

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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

Ranking in other categories

Embedded BI (16th)

Oracle Analytics Cloud

Ranking in Data Visualization

15th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (18th)

Mindshare comparison

As of November 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 Oracle Analytics Cloud is 2.1%, down from 3.2% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Oracle Analytics Cloud	2.1%
Dundas BI	0.9%
Other	97.0%

Data Visualization

Featured Reviews

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.

Read full review

DavidMalizia

Head Of Data And Ai at a tech services company with 11-50 employees

Data projects have grown rapidly and support complex analytics and quick dashboard delivery

Some things that could be improved in Oracle Analytics Cloud is definitely the way it works. In some cases, for example, if you want to create analytic functions such as the percentage of a measure over another, which is a straightforward question you might ask, it appears simple to do, but the result is not what you expect. I would make it more user-friendly in terms of creating new measures. The measure creation feature could be improved. In terms of functionality, there are not many functions that are completely missing. There is one aspect that if you compare it with Power BI from Microsoft, which works completely in memory and therefore puts everything in memory to allow many calculations on the fly on what is in memory, that is missing, but it is architecturally different and would not be possible to ask for something like that. Some time features and time series analysis functions could be improved. Calculating a year ago and previous period functions could definitely work with some improvement.

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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

"We use Dundas to report on machine sensor data and create dashboards."

"Overall Dundas BI has been great."

"Out of the box, Dundas BI does almost everything needed for an intuitive dashboard, and anything else can be scripted."

"The product has very nice visuals, allows you to build your own ETL, supports different storage types of data cubes (on disk, cache, or in memory), and offers customization using JavaScript."

"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."

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

"It is easy to design a new dashboard, and you can always see data while you setup the data controls."

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

More Dundas BI pros

"This solution is not that well known by clients but is a great product to use."

"Oracle Analytics DV is amazing as it's giving the power to the users without involving IT."

"The stability of the product itself by virtue of the fact that it's a cloud product and Oracle is responsible for its hosting is valuable."

"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"Depending on the needs of business to business, but as far a visualizations are concerned, this is a good product."

"Mobility is the most valuable feature for us, as all employees can access it from anywhere, which is a big advantage for us."

"It's rather user-friendly."

"The solution is user-friendly."

More Oracle Analytics Cloud pros

Cons

"The API they have can do just about anything, but their documentation on the API and examples are only for some of the basics."

"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."

"Lacks sufficient online support."

"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."

"I would love to see more functions built in inside the application, instead of being scripted."

"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."

"A few more different data visualizations wouldn't hurt."

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

More Dundas BI cons

"Its FAW feature has limitations in terms of usage."

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

"The solution could be more flexible."

"The price of the solution could be lower."

"They could improve the ease of developing the dashboard and interacting with it."

"It's not a failure of the product; it's just an architectural choice. It has to do with data modeling. I'm comparing this to another product, which is Oracle's developer client and probably called Oracle BI Developer Client Tool. The data modeler, which is cloud-based, and Oracle BI Developer Client Tool, which is local or on-premises-based, both can do the same thing in data modeling. However, the cloud tool does not have as many features as the Oracle BI Developer Client Tool, which is closest to the OBIEE Administration Tool with full feature data modeling, metadata development, and so forth. In a complex environment or implementation, that is the capability that you need."

"The implementation of generative AI and machine learning should improve"

"This solution could be more adaptable in its application."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"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."

"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

"I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing."

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

"We pay on a monthly basis and it is $10 per user each month."

"The tool's pricing is not unreasonable or non-competitive."

"I would rate it a five out of five in terms of the value received for the price charge."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Outsourcing Company

16%

Construction Company

13%

Comms Service Provider

11%

Healthcare Company

Financial Services Firm

Government

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

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

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

Questions from the Community

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Which Oracle product is better - OBIEE or Analytics Cloud?

Oracle OBIEE is designed to be relatively easy to set up and has a helpful customer support staff at the ready to assist customers. These are two attributes that make this system quite valuable. OB...

See all answers

What is your experience regarding pricing and costs for Oracle Analytics Cloud?

Pricing for Oracle Analytics Cloud works with how much you want it to cost. We have clients who have bought large amounts of Oracle and the price per product has gone down massively because they bo...

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What needs improvement with Oracle Analytics Cloud?

See all answers

Comparisons

Tableau Enterprise vs Dundas BI

Compared 16% of the time

Sisense vs Dundas BI

Compared 12% of the time

QlikView vs Dundas BI

Compared 8% of the time

Microsoft Power BI vs Dundas BI

Compared 6% of the time

Logi Analytics vs Dundas BI

Compared 6% of the time

More Dundas BI Competitors

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 5% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Dundas BI

October 2026

Download Dundas BI product report

Buyer's Guide

Oracle Analytics Cloud

October 2026

Download Oracle Analytics Cloud product report

Also Known As

No data available

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV

Overview

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

Oracle Analytics Cloud offers enterprise-grade dashboarding, visualization, and data integration with machine learning and NLP capabilities. Its cloud infrastructure supports data preparation, predictive analysis, and business analytics, enhancing decision-making for global users.

Oracle Analytics Cloud excels in providing a comprehensive platform for financial, procurement, and HR analytics. It integrates seamlessly with systems like ERP and Primavera, allowing users to develop dashboards for financial status, personal data management, and predictive sales analysis. Known for its ease of use and capacity to handle large data volumes, it supports enterprise-level transactions across financials and logistics, offering stakeholders valuable insights. However, improvements are needed in visualization variety, cost efficiency, and performance speed. Certain areas such as connectors, data modeling features, flexibility, and support resources require enhancement.

What are the most significant features of Oracle Analytics Cloud?

Enterprise-Grade Dashboarding: Offers robust visualization and reporting capabilities.
Data Visualization: Provides intuitive visual tools for data analysis.
Data Integration: Seamlessly connects with ERP, Primavera, and other systems.
Machine Learning: Incorporates ML for smarter analytics and predictions.
Natural Language Processing: Simplifies search and data queries with NLP.
Automatic Dashboards: Generates dashboards through the Explain function.

What are the key benefits and ROI of choosing Oracle Analytics Cloud?

Ease of Use: User-friendly interface simplifies data analysis for teams.
Scalability: Handles large data volumes and grows with business needs.
Fast Performance: Quickly processes and analyzes data to aid decision-making.
Secure Business Analytics: Offers secure data preparation and analysis.

In industries like finance, procurement, and HR analytics, Oracle Analytics Cloud supports decision-making by integrating with existing systems such as ERP and Primavera. Users create dashboards for assessing financial status and predicting sales, aiding business intelligence and enterprise transactions, especially in financials and logistics.

Oracle

Sample Customers

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

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Buyer's Guide

Dundas BI vs. Oracle Analytics Cloud

September 2026

Free Report: Dundas BI vs. Oracle Analytics Cloud

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

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