IBM Cognos Express [EOL] vs Oracle Analytics Cloud comparison

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

4,728 Views
3,215 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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Buyer's Guide

BI (Business Intelligence) Tools

April 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 (14th), Data Visualization (11th)

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

"Cogno’s number one advantage is security."

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

"The most valuable features of the solution are dashboarding and data visualization."

"The product is easily customized."

"The specific capability I find important in Oracle Analytics Cloud is that it allows the basic user to easily drag and drop data."

"Oracle Analytics Cloud allowed us to deliver faster analytics and to have a self-secured, self-tuning, self-maintained platform."

"A valuable feature is the speed of the solution."

"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."

"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."

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."

"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."

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

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

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

"The interfaces could be improved and some in-memory operations could be built in."

"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."

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

"The price of the solution could be lower."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

Information not available

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

"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."

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

"It is an expensive platform."

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

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

"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

10%

Government

10%

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...

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

SAP BusinessObjects Business Intelligence vs IBM Cognos Express [EOL]

Compared 36% of the time

Verix Limelight vs IBM Cognos Express [EOL]

Compared 35% of the time

More IBM Cognos Express [EOL] 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

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BI (Business Intelligence) Tools

April 2026

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Buyer's Guide

Oracle Analytics Cloud

April 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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April 2026

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