IBM Cognos Express [EOL] vs Oracle Analytics Cloud comparison

Why PeerSpot?

IBM and Oracle are both solutions in the BI (Business Intelligence) Tools category. Additionally, 50% of IBM users are willing to recommend the solution, compared to 77% of Oracle users who would recommend it.

IBM Cognos Express [EOL]

Read 2 IBM Cognos Express [EOL] reviews

50% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

7,424 Views
5,197 Comparison Views

77% willing to recommend

IBM Cognos Express [EOL]

Oracle Analytics Cloud

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Executive Summary

We performed a comparison between IBM Cognos Express [EOL] and Oracle Analytics Cloud based on real PeerSpot user reviews.

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October 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

IBM Cognos Express [EOL]

Average Rating

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Oracle Analytics Cloud

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

BI (Business Intelligence) Tools (18th), Data Visualization (15th)

Featured Reviews

it_user175122

Program Analyst at a engineering company with 501-1,000 employees

Needs a little bit of tuning but once setup and tuned correctly it's very stable.

Building complex custom reports Bursting to specified users Data Warehouse accessible to users to quickly build their own reports Dashboards on KPI, scoring vs targets. Nothing I can think of now. 2 years. No issues encountered. Needs a little bit of tuning, once setup and tuned correctly…

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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

"Customer Service: Very good. Direct access to top qualified resources."

"Cogno’s number one advantage is security."

"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."

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

"The advanced calculations by the tool are highly effective"

"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."

"It's robust. It has the ability to handle massive amounts. After reporting has been developed, there is an ease of use or a user-friendly interface for a trained workforce."

"This is a stable and scalable solution."

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

"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."

More Oracle Analytics Cloud pros

Cons

"Building the cube can last a very long time, also during the cube-built very big temporary files are built, more than 4GB."

"The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. AI integration would be an interesting feature to add in the next release."

"It is expensive."

"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."

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

"One of the major issues is that Oracle Analytics Cloud is not user-friendly, requiring skilled people with proper certifications to work with it successfully."

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

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

"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."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

Information not available

"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."

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

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

"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 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."

More Oracle Analytics Cloud pricing and cost advice

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

Government

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

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...

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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?

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Comparisons

Verix Limelight vs IBM Cognos Express [EOL]

Compared 39% of the time

SAP BusinessObjects Business Intelligence vs IBM Cognos Express [EOL]

Compared 31% of the time

More IBM Cognos Express [EOL] 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

BI (Business Intelligence) Tools

October 2026

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Buyer's Guide

Oracle Analytics Cloud

October 2026

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Also Known As

Cognos Express

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

Overview

IBM Cognos Express provides enterprise-class reporting, analysis, dashboard, visualization, scorecard, planning, budgeting and forecasting capabilities that workgroups and midsize companies need at a price they can afford. This scalable, easy-to-use solution includes the tools to discover and act on new insights quickly, while helping to minimize demands on your IT staff.

IBM

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

Gamma Powersports, Gasmart, University of Iceland, Monarch Industries, Mace, Quintiles, Argility, Talent2, Accelrys Inc., J. B. Poindexter and Co., FK Gardner and Sons Group

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October 2026

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