Dundas BI vs Oracle Analytics Cloud comparison

Dundas and Oracle are both solutions in the Data Visualization category. Dundas is ranked #29, while Oracle is ranked #11 with an average rating of 8.0. Dundas holds a 0.8% mindshare in DV, compared to Oracle’s 2.2% 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

1,456 Views
859 Comparison Views

96% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

4,728 Views
1,844 Comparison Views

77% willing to recommend

Dundas BI

Oracle Analytics Cloud

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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: April 2026).

Buyer's Guide

Dundas BI vs. Oracle Analytics Cloud

April 2026

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Helped 894,738 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 BI

Ranking in Data Visualization

29th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Embedded BI (13th)

Oracle Analytics Cloud

Ranking in Data Visualization

11th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (14th)

Mindshare comparison

As of May 2026, in the Data Visualization category, the mindshare of Dundas BI is 0.8%, up from 0.5% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.2%, down from 3.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Visualization Mindshare Distribution
Product	Mindshare (%)
Oracle Analytics Cloud	2.2%
Dundas BI	0.8%
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.

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

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

"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."

"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."

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

"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."

"With Dundas BI, you have a lot of visualization choices, and you can also do customizations by using HTML coding and JavaScript. The ease of development was one of the main factors for going for Dundas BI. The client had different reporting tools, but they wanted something that could accommodate all requirements."

"We have now the ability to create interactive and complex reports without the need for software developers and code."

"The simplicity involved in generating dashboards has dramatically increased the number of dashboards we can get into the hands of users each month."

More Dundas BI pros

"The ability to quickly search for and access relevant data is crucial."

"Its scalability is really what makes it stand out; you can on the fly increase the processing capacity of your instance for as long as you need it and then bring it back to whatever minimum setting you had, all with no downtime, which is very impressive."

"Oracle Analytics Cloud is more refined compared to the on-premises version of OBIEE."

"It's great for consolidation and creating one source of truth."

"We use Analytics because we have a model for it which can be easily customized, and implementation time can be reduced because of this."

"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."

"The solution is user-friendly."

"The product is able to compare with other tools on the market; it has everything you need, everything you can find in other tools such as Tableau and Power BI, and additionally, it has history, so you get a robust solution with support."

More Oracle Analytics Cloud pros

Cons

"It would be helpful if Dundas made the UI more user-friendly like the leading tools and decreased the learning curve. It should be simpler for a beginner to build dashboards."

"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."

"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."

"Out of box connection to web services to read its data."

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

"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."

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

"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."

More Dundas BI cons

"When you want to scale up and improve the computing power, it becomes extremely costly."

"The migration of older dash tools from the classic interface of Oracle BI prior to OAS launch to the newer Data Visualization and Oracle Analytics Cloud interfaces, including dashboards and metadata, is currently a cumbersome process. Improvements in this area would be highly beneficial. Additionally, the administration of the cloud, particularly the startup of services and linking of the WebLogic server and integrated components, takes longer than desired. In today's enterprise landscape, waiting forty minutes for the server to be operational is quite lengthy; ideally, this process should take a maximum of four minutes. It would be excellent to incorporate metadata management as an integral part of the Oracle Analytics Cloud. When dealing with integrated data from various sources, tracking data lineage and the entire data life cycle, from sources to report development and the mapping of reports to specific dashboards, should be seamlessly managed within the Oracle Analytics Cloud. This would eliminate the need for additional tools. Drawing a comparison, tools like Tableau have a feature enabling metadata management, making it easier to trace the complete data lineage of reports. Managing over seven hundred and thirty-six business dashboards, the metadata management capability within Tableau simplified the process of understanding how reports were developed, including details like associated tables, users, linked views, materialized views, data segmentations, ETL jobs, and the data warehouse stages. Enhancing metadata tracking within the Oracle Analytics Cloud layout would facilitate easy and practical management of the complete data life cycle, encompassing user accessibility and report permissions."

"At this time, dataflows cannot be shared, but I think that this should be enhanced."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"I looked at the predictive analytics feature in Oracle Analytics Cloud, but I used it very little because, everything considered, it does not add very much."

"As with most BI tools, the visualizations can be made much nicer."

"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."

"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."

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."

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

"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."

"A highly cost-effective solution"

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

"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."

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

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

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

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

Construction Company

12%

Comms Service Provider

12%

Healthcare Company

10%

Marketing Services Firm

Financial Services Firm

10%

Government

10%

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 do you like most about Oracle Analytics Cloud?

The ability to quickly search for and access relevant data is crucial.

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...

See all answers

Comparisons

Tableau Enterprise vs Dundas BI

Compared 23% of the time

Sisense vs Dundas BI

Compared 16% of the time

QlikView vs Dundas BI

Compared 14% of the time

Microsoft Power BI vs Dundas BI

Compared 10% of the time

Logi Analytics vs Dundas BI

Compared 9% of the time

More Dundas BI Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 7% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 7% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 7% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 6% of the time

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Dundas BI

May 2026

Download Dundas BI product report

Buyer's Guide

Oracle Analytics Cloud

April 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

April 2026

Free Report: Dundas BI vs. Oracle Analytics Cloud

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