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Oracle Analytics Cloud vs Salesforce Einstein Analytics comparison

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Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

IBM Cognos
Sponsored
Ranking in BI (Business Intelligence) Tools
7th
Average Rating
8.0
Number of Reviews
134
Ranking in other categories
Reporting (4th)
Oracle Analytics Cloud
Ranking in BI (Business Intelligence) Tools
9th
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
25
Ranking in other categories
Data Visualization (6th)
Salesforce Einstein Analytics
Ranking in BI (Business Intelligence) Tools
12th
Average Rating
8.2
Number of Reviews
19
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the BI (Business Intelligence) Tools category, the mindshare of IBM Cognos is 3.8%, down from 4.3% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.4%, down from 3.0% compared to the previous year. The mindshare of Salesforce Einstein Analytics is 1.3%, down from 1.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

Carlos Larrad Salgado - PeerSpot reviewer
Improved the quality of our KPIs, while reducing calls to the IT department
I don't like that when we use Colab packages, we get less functionality. For example, you can make groups of data with Excel or with the data sets from the packages, but when you use the Colab packages directly, you can only group the data when you analyze it with Analysis Studio. I think Cognos needs to improve more on this functionality. The user experience is also very important. Cognos is not very easy to understand sometimes, especially when they change the layout but keep the functionality the same. The help is not very graphic and they have no examples. Cognos has to make a big effort to help with understanding the functionality by improving the documentation. There is a lot of documentation, but the examples are hard to find and they should make their help section easier to understand for non-technical users.
Hafiz Abdul Mannan - PeerSpot reviewer
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.
Parker Goodson - PeerSpot reviewer
Helpful consistent measurements, high availability, and scales well
When it comes to generating reports, it appears that many users rely on experts to handle technical aspects. For instance, if you require a weekly report displaying accounts transitioning in and out of your modules, it seems challenging to accomplish without consulting experts for assistance. Such tasks should be user-friendly and easily achievable without external assistance. It would be beneficial to have visibility into any changes made to your account by individuals other than yourself or your team. It is also important to clearly track the history of these modifications and identify the responsible parties.

Quotes from Members

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

Pros

"When it comes to decision-making, the product is very useful and used in many departments since a lot of people prefer the reports to be generated by IBM Cognos."
"The tool can join data from different sources, write back to databases, generate alerts, and be customized to our preferences. It's an enterprise BI tool that's more powerful than just visualization tools like Power BI or Tableau."
"Security administration tools are powerful and flexible."
"The most valuable features of IBM Cognos are governance and enterprise reporting."
"The most valuable feature is developing reports from different data sources, making it a reliable data source."
"The initial setup is very straightforward."
"A positive feature is Report Studio, where we create beautiful, complex reports."
"The most valuable feature of IBM Cognos is security. The solution has updated features that other competitors' solutions come out with long after IBM Cognos has had them."
"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."
"It has the best feature for data augmentation."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"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."
"The advanced calculations by the tool are highly effective"
"The product is easily customized."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"Tableau CRM is a very capable solution. It is easy to use, user-friendly, and integrates well."
"The tool is valuable. It's one of the greatest programs I'm currently working with, and I believe it will continue to be crucial in the next four to five years. It's the future of our operations. Integrating other systems and conducting campaigns is easy. The solution relies heavily on AI."
"The tool is a cloud-based solution capable of integrating any kind of data in the world."
"The inbuilt features, like pictorial representation of the data and the ability to remap and realign the data, provide clarity in understanding sales perspectives."
"Salesforce Einstein Analytics is a simplified CRM. It's integration is good."
"It's scalable."
"The most valuable feature of Salesforce Einstein Analytics is the reporting tools."
"The solution scales extremely well."
 

Cons

"Cognos charts are not as fast as those of the other tools, even with DQM (dynamic query mode)."
"They were lacking in the initial phases of development in the area of big data, and they still need to improve that aspect of the product."
"One thing that we really want is the ability to have data portrayed on an image. Cognos is not able to do it at the moment, and that's becoming a requirement from the business side: having an image and then plotting your dataset on top of the image as a map."
"They should provide improved visual reporting."
"It would be good if the solution had conditional formatting."
"The performance is a bottleneck and something that can be improved."
"I don't like that when we use Colab packages, we get less functionality. For example, you can make groups of data with Excel or with the data sets from the packages, but when you use the Colab packages directly, you can only group the data when you analyze it with Analysis Studio. I think Cognos needs to improve more on this functionality."
"The charts and graphics are weak."
"They could improve the ease of developing the dashboard and interacting with it."
"The implementation of generative AI and machine learning should improve"
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"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 should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"This solution could be more adaptable in its application."
"It is less scalable than Snowflake."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"Improvement-wise, I feel the solution must be more robust since it is not exactly ready to handle large data."
"The product is expensive."
"If a user leaves your organization, you shouldn't lose the visibility of all of the records."
"I would advise others not to customize because they rolled out the newer versions, which are every six months. There had to be some significant testing and verification that happened. It is important to have a strong third-party provider that is very experienced. We used Deloitte, but we evaluated Accenture, KPMG, and IBM, but we decided on Deloitte and that was a good decision for us. Having a partner who has a center of excellence or experts that could give you a lot of the tips that they've learned could jumpstart your deployment and stick to the standards."
"They have a lot of opportunity to improve BI tools. With Einstein Analytics, we have a very minimal scope."
"The product is natively integrated into the Salesforce ecosystem. You also need a CRM license. It should be more flexible with other platforms."
"Better pricing would make it available to more users and we would likely use it more broadly within the organization."
"The tool needs to simplify its features."
 

Pricing and Cost Advice

"It is quite pricy. I think Microsoft BI is cheaper. Tableau might also be cheaper, but it also depends on the usage. If you have very many users, Cognos can be a problem. It could be cheaper than Tableau but not for so many users. If you have a few thousand users, Tableau, which is generally quite expensive, can be cheaper than Cognos."
"There is some additional licensing that we needed to purchase because we were touching data outside of our core data platform. The cost was approximately $25,000 for the additional licenses, which were approximate 45 licenses. For the application itself, updates, and the core platform it was approximately $50,000. Giving a total cost of $75,000 annually for our usage of IBM Cognos."
"On a scale from one to ten where one is low pricing and ten is high pricing, I would rate this solution at eight."
"Cognos is super expensive compared to Tableau ($70/month) and Power BI ($20/month) — I think Cognos is roughly $200 a month."
"The licensing costs are a little bit higher for IBM Cognos. I don't think there is any additional cost apart from the licensing charges."
"IBM Cognos offers competitive pricing similar to other BI vendors in the market."
"IBM Cognos price is on the higher side of the spectrum. However, with the features that it brings, such as correlation analysis, it's worth the money. They should look at the pricing more clearly because it's a little on the higher side."
"It's more expensive than similar solutions like Tableau and Power BI."
"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"
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"We pay on a monthly basis and it is $10 per user each month."
"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"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."
"Although it was deemed slightly expensive and failed the cost analysis we conducted in our company, we proceeded with the purchase because we desired to have a leading CRM system in the industry."
"Salesforce has a subscription-based licensing structure, where it's between $20 to $75 per month, per user."
"I rate the solution's pricing a seven out of ten."
"Salesforce Einstein Analytics can be considered somewhat expensive, depending on the company's needs. If they want the complete package with all the features, it's pricier. It all comes down to what the company requires from the platform."
"Price-wise, Salesforce Einstein Analytics is an expensive tool."
"The biggest challenge we had was the cost and the licensing. We ended up getting an enterprise licensing agreement(ELA). That took a lot of negotiations and a lot of pressure. We were able to receive a good price for the community licensing they bundled Salesforce Einstein Analytics. They bundled a lot of capabilities with us with the ELA."
"The solution is expensive."
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Top Industries

By visitors reading reviews
Educational Organization
55%
Financial Services Firm
7%
Computer Software Company
4%
Government
4%
Educational Organization
38%
Financial Services Firm
9%
Computer Software Company
9%
Government
6%
Computer Software Company
18%
Financial Services Firm
13%
Manufacturing Company
8%
Educational Organization
5%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Seeking lightweight open source BI software
It depends on the Data architecture and the complexity of your requirement. Some great tools in the market are Qlik ...
What do you like most about IBM Cognos?
The solution's most valuable feature is its ease of use, which makes it easily compatible with other tools.
What needs improvement with IBM Cognos?
I need improvements, particularly with the Framework Manager, which has an outdated user interface from older version...
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 ass...
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?
The solution is highly cost-effective and easy to customize. The pricing is quite reasonable if the long-term benefit...
What do you like most about Salesforce Einstein Analytics?
The tool is valuable. It's one of the greatest programs I'm currently working with, and I believe it will continue to...
What needs improvement with Salesforce Einstein Analytics?
Salesforce is working very rigorously on improvements with each release.
What is your primary use case for Salesforce Einstein Analytics?
I am a Salesforce CPQ developer. I have also worked on Einstein Analytics for reporting purposes.
 

Also Known As

Cognos, Cognos Analytics, IBM Cognos Analytics
Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
Einstein Analytics, Salesforce Wave Analytics
 

Overview

 

Sample Customers

More than 23,000 leading organizations across multiple industries use Cognos. Some examples of Cognos customers include BMW Financial Services, Quinte Health Care, Troy Corporation, Michigan State University, and GKN Land System.
Sejong Hospital
ADS Securities, Alstom Grid, American Express, Barclays Bank, Coca-Cola, CoderDojo, Dubai Multi Commodities Centre, Financial Conduct Authority
Find out what your peers are saying about Oracle Analytics Cloud vs. Salesforce Einstein Analytics and other solutions. Updated: December 2024.
823,795 professionals have used our research since 2012.