Dundas BI vs Oracle Analytics Cloud comparison

Dundas and Oracle are both solutions in the Data Visualization category. Dundas is ranked #25, while Oracle is ranked #6 with an average rating of 8.1. Dundas holds a 0.4% mindshare in DV, compared to Oracle’s 3.0% mindshare. Additionally, 96% of Dundas users are willing to recommend the solution, compared to 75% of Oracle users who would recommend it.

Dundas BI

Read 21 Dundas BI reviews

336 Views
117 Comparison Views

96% willing to recommend

Oracle Analytics Cloud

Read 26 Oracle Analytics Cloud reviews

1,419 Views
840 Comparison Views

75% 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: March 2025).

Buyer's Guide

Dundas BI vs. Oracle Analytics Cloud

March 2025

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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

25th

Average Rating

8.6

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Embedded BI (11th)

Oracle Analytics Cloud

Ranking in Data Visualization

6th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (8th)

Mindshare comparison

As of April 2025, in the Data Visualization category, the mindshare of Dundas BI is 0.4%, down from 0.5% compared to the previous year. The mindshare of Oracle Analytics Cloud is 3.0%, down from 3.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

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

Hafiz Abdul Mannan

Senior Consultant Oracle Technologies at Hewlett Packard Enterprise

Empowers your entire organization to ask any question of any data—across any environment, on any device

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.

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

"The solution has a good drag-and-drop feature for creating dashboards."

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

"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."

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

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

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

"The best feature may be data flow, which is used to prepare and clean data."

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

"This is a stable and scalable solution."

"Analytics Cloud allows you to merge various data types and structure data from multiple sources."

"Oracle Analytics Cloud's most valuable feature is its visualization."

"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."

"It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use."

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."

"Lacks sufficient online support."

"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."

"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."

"I cannot select a visualization and see what filters are connected to it."

"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."

"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."

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

"When you implement the product on a small scale, it doesn't generate any ROI."

"The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace."

"It is less scalable than Snowflake."

"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."

"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 price of the solution could be lower."

More Oracle Analytics Cloud cons

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."

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

"It is an expensive platform."

"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."

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

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

"A highly cost-effective solution"

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

"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

Government

17%

Computer Software Company

12%

University

Educational Organization

36%

Computer Software Company

Financial Services Firm

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Ask a question

Earn 20 points

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?

The pricing of Oracle Analytics Cloud is quite expensive, fitting for a premium tool. However, the cost raises expectations for partner support that are not met, especially for smaller companies wh...

See all answers

Comparisons

Microsoft Power BI vs Dundas BI

Compared 100% of the time

More Dundas BI Competitors

Oracle OBIEE vs Oracle Analytics Cloud

Compared 25% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 14% of the time

Databricks vs Oracle Analytics Cloud

Compared 12% of the time

Oracle Business Intelligence Cloud Service vs Oracle Analytics Cloud

Compared 10% of the time

Tableau vs Oracle Analytics Cloud

Compared 9% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Dundas BI

April 2025

Download Dundas BI product report

Buyer's Guide

Oracle Analytics Cloud

March 2025

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 powerful, flexible, end-to-end business intelligence platform that simplifies the entire analytics process and empowers its users to analyze and visualize data. The solution enables organizations to create and view interactive dashboards, reports, scorecards, and more. Dundas BI can be integrated into an existing website as part of a custom BI solution or it can be deployed as the central data portal for your organization. The solution is suitable for mid-to-large sized companies.

Dundas BI Features

Dundas BI has many valuable key features. Some of the most useful ones include:

Mobile responsive dashboards
Smart data display
Calendar support for retail and manufacturing
Data connectivity
Show/hide interaction
Batching data builds
Enhanced development workflow
Navigation support
Data regulation support
Optimized application performance
Instant application portability with docker
Easy SaaS support with Kubernetes
Natural language user input
Enhanced application security
Scheduled reports with multiple export options
Fully open APIs

Dundas BI Benefits

There are many benefits to implementing Dundas BI. Some of the biggest advantages the solution offers include:

Limitless customization: You can fully customize the Dundas BI platform, including its dashboards, data visualizations, interactions, scorecards, labels, etc. to meet your organization’s unique design requirements.

Effectively visualize and analyze data: The solution provides interactive data views that help you create pixel-perfect dashboards and reports that have interactive data visualizations so you can elevate your users’ abilities to effectively communicate data insights and drive faster decision-making.

Greater efficiency: Dundas BI can consolidate and store data from any source, providing seamless data delivery and a consistent user experience, which leads to greater efficiency. By having all your business intelligence, reporting, and data analytics needs in one single platform, you also save your organization a lot of time and effort.

Tailored data discovery process: Dundas BI adapts to all user types, allowing everyone to personalize it to suit their own needs and requirements, which helps users, data analysts, and developers to analyze their data quickly. The solution’s data discovery process also allows you to run ad-hoc queries, perform visual data analytics, and quickly create relevant and actionable content.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Dundas BI solution.

A Business Intelligence Consultant at Siemens Industry says, “The flexibility of the dashboard designer is great. You can control every single pixel and no matter what the user asks for we can deliver. It has a lot of out-of-the-box options that you can use to customize your dashboard. There is also the option to use their JavaScript API, however, in 99% of the cases, the built-in options are more than enough. I also love the control you have on what queries Dundas BI is generating against our databases. This allows us to create really fast dashboards even when running against millions of records.”

James D., System Architect at Yulista, LLC mentions that the most valuable aspect of the solution is its “ability to warehouse query results. This is good because you do not have to have a data warehouse, you let Dundas warehouse the results of a query that runs long during off hours.”

Another reviewer shares, “The built-in ETL functionality has allowed us to combine data sources without the need for a full SSIS package. This saves time and allows for a quicker time to market.”

Dundas

Oracle Analytics is a complete platform with ready-to-use services for a wide variety of workloads and data.

Oracle Analytics allows businesses to add AI and machine learning capabilities to any application—and as part of our integrated suite of cloud services to comply with data security and connected without disrupting business operations.

Offering valuable, actionable insights from all types of data—in the cloud, on-premises, or in a hybrid deployment—Oracle Analytics empowers business users, data engineers, and data scientists to access and process relevant data, evaluate predictions, and make quick, accurate decisions.

Oracle Analytics Cloud Features

Oracle Analytics Cloud has many valuable key features. Some of the most useful ones include:

Intelligent search
Smart data discovery
Smart data preparation
Natural language
Auto suggest
Visualization
Dashboarding
Global transformation policies
Smart collaboration
Integrated data science
Enterprise architecture and security
Platform extensibility
Smart data connectors

Oracle Analytics Cloud Benefits

There are many benefits to implementing Oracle Analytics Cloud. Some of the biggest advantages the solution offers include:

Flexibility: Oracle Analytics Cloud gives you the flexibility to grow and change as your business does. At the same time, it puts you in complete control of your analytics environment by allowing you to analyze data and accommodate changing demand easily.

Scalable: Oracle Analytics Cloud is a single, centralized solution that provides everything you need in a scalable environment to support varied user requirements for your organization right now and in the future as well.

Comprehensive analytics: With Oracle Analytics Cloud, existing services are combined with new ones to deliver comprehensive analytics in the cloud. It provides everything you need for analytic agility, from fast, fluid self-service discovery to data loading and blending, inline data prep, data enrichment, automatic visualizations, data storytelling, and more.

Cost-effectiveness: The solution is cost-effective and reduces your total cost of ownership (TCO).
Innovation: Use the latest data analytics technologies, such as AI, machine learning, and natural language processing. Oracle Analytics has been recognized by industry experts for its innovations and robust architecture.

Reviews from Real Users

Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Analytics Cloud solution.

Fabricio Q., Data Analytics Manager, says, “The main functionality is great and everything is pretty standard and easy to use. It's great for consolidation and creating one source of truth. The initial setup is pretty straightforward.”

PeerSpot user, Eric B., Independent Consultant - Oracle BI Applications at Desjardins, mentions “It's really an enterprise solution. It has standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to. It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. It has machine learning embedded in the solution.”

Gaurav S., Vice President Credit Risk Management at a financial services firm, explains, “From a financial or bank perspective, this product is secure enough. The dashboards, analytics, visualizations, and different reports are valuable for business analytics. The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.”

Another reviewer, Trinh P., Delivery Manager at Sift Ag, comments, "The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data. I also like that the solution allows the user to decide what to measure and what to see in the reports."

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

March 2025

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