No more typing reviews! Try our Samantha, our new voice AI agent.

IBM Cognos Dashboard vs Oracle Analytics Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Jan 1, 2025

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

IBM Cognos Dashboard
Ranking in Data Visualization
27th
Average Rating
8.6
Reviews Sentiment
6.7
Number of Reviews
4
Ranking in other categories
No ranking in other categories
Oracle Analytics Cloud
Ranking in Data Visualization
10th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
BI (Business Intelligence) Tools (13th)
 

Mindshare comparison

As of March 2026, in the Data Visualization category, the mindshare of IBM Cognos Dashboard is 1.1%, up from 0.6% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.1%, down from 3.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Visualization Mindshare Distribution
ProductMindshare (%)
Oracle Analytics Cloud2.1%
IBM Cognos Dashboard1.1%
Other96.8%
Data Visualization
 

Featured Reviews

Unes Ay - PeerSpot reviewer
Data Scientist at a manufacturing company with 5,001-10,000 employees
Provides efficient data modules, but it could be more user-friendly
We use IBM Cognos Dashboard for data manufacturing, reporting, costing, quality check, etc The product helps us update the KPI automatically. We can access reports and analyze if a particular solution fits the requirements. The product's most valuable is the concept of data modules. IBM Cognos…
DavidMalizia - PeerSpot reviewer
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.

Quotes from Members

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

Pros

"The main feature that is useful is the on-demand report generation through the dashboard."
"The tool's valuable features are that it is easy to use and stable."
"It is a pretty stable solution."
"The product helps us update the KPI automatically."
"The main feature that is useful is the on-demand report generation through the dashboard."
"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 scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."
"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."
"Depending on the needs of business to business, but as far a visualizations are concerned, this is a good product."
"It has the best feature for data augmentation."
"We use Analytics because we have a model for it which can be easily customized, and implementation time can be reduced because of this."
"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."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
 

Cons

"The price point is one of the major areas to be improved."
"The price point is one of the major areas to be improved."
"The scalability of the product's on-premises version is an area with certain shortcomings where improvements are required."
"They should include proper documentation to learn more about the product."
"Visualization is an area where the product lacks."
"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."
"The solution could be more flexible."
"This product does not support custom charts in the visualization."
"The price of the solution could be lower."
"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."
"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."
"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."
 

Pricing and Cost Advice

"The product is expensive for small businesses compared to other vendors."
"Licensing is based on individual usage, and it is more expensive than other providers."
"The tool's pricing is not unreasonable or non-competitive."
"We pay on a monthly basis and it is $10 per user each month."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"It is an expensive platform."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"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."
"A highly cost-effective solution"
report
Use our free recommendation engine to learn which Data Visualization solutions are best for your needs.
885,311 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
No data available
Government
11%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise7
Large Enterprise11
 

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...
What do you like most about Oracle Analytics Cloud?
The ability to quickly search for and access relevant data is crucial.
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...
 

Also Known As

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

Overview

 

Sample Customers

Information Not Available
Sejong Hospital
Find out what your peers are saying about IBM Cognos Dashboard vs. Oracle Analytics Cloud and other solutions. Updated: March 2026.
885,311 professionals have used our research since 2012.