Try our new research platform with insights from 80,000+ expert users

Oracle Analytics Cloud vs Workday Prism Analytics 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

Oracle Analytics Cloud
Ranking in BI (Business Intelligence) Tools
15th
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
28
Ranking in other categories
Data Visualization (11th)
Workday Prism Analytics
Ranking in BI (Business Intelligence) Tools
17th
Average Rating
8.6
Reviews Sentiment
7.6
Number of Reviews
5
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of February 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.2%, down from 2.4% compared to the previous year. The mindshare of Workday Prism Analytics is 1.2%, down from 1.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Oracle Analytics Cloud1.2%
Workday Prism Analytics1.2%
Other97.6%
BI (Business Intelligence) Tools
 

Featured Reviews

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.
Sarvesh Kumar Jha - PeerSpot reviewer
Senior Technology Consultant at PricewaterhouseCoopers
Provides great flexibility in terms of data transformation
I really like the flexibility the solution provides in terms of data transformation. Workday introduced Prism Analytics mainly because many clients wanted to merge data from different systems and then work with it to get some insights out of it. For that, they previously used tools like Power BI. Workday Prism Analytics gives you the power to do all the data transformations within Workday itself without taking out crucial data to a third system. I really like the way Workday has enabled Prism Analytics to be that one solution where you can bring everything. It also provides you the flexibility that things like the security model of Workday are still in place. You don't have to redo your security configuration if you do the data transformation outside Workday.

Quotes from Members

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

Pros

"It's great for consolidation and creating one source of truth."
"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 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."
"This is a stable and scalable solution."
"The solution can scale."
"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."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"The technical support services are good."
"The customer service and support are pretty good."
"I really like the flexibility the solution provides in terms of data transformation."
"The product is easier to use compared to other applications."
"The solution is stable and reliable, with minimal issues affecting its performance."
"Feature-wise, I feel that the solution's stability is good."
 

Cons

"The interfaces could be improved and some in-memory operations could be built in."
"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."
"Its FAW feature has limitations in terms of usage."
"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."
"When you implement the product on a small scale, it doesn't generate any ROI."
"The implementation of generative AI and machine learning should improve"
"It is less scalable than Snowflake."
"The pricing model in Microsoft is more straightforward. With Oracle, you have the data visualization and enterprise lines, and to put it simply, both appear as more expensive options for customers trying to get oriented in the segment."
"It is not a very scalable product."
"There is not much flexibility in how we can add external data within Workday Prisma Analytics."
"One area for improvement in the solution is the ability to manually update individual rows or columns of data once it has been uploaded."
"When you create certain objects, a lot of the time, the fields are text. They’re not numeric, date, or any other field type"
"The visualization techniques must be upgraded."
 

Pricing and Cost Advice

"I would rate it a five out of five in terms of the value received for the price charge."
"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."
"It is an expensive platform."
"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."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"The solution is very expensive."
"Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool."
"I do not know of the licensing cost, but there are additional costs like 5,00,000 for recruitment modules."
report
Use our free recommendation engine to learn which BI (Business Intelligence) Tools solutions are best for your needs.
882,813 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Government
13%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
7%
Financial Services Firm
11%
Healthcare Company
9%
Manufacturing Company
7%
Computer Software Company
6%
 

Company Size

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

Questions from the Community

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?
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...
What is your experience regarding pricing and costs for Workday Prism Analytics?
Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool. In fact, that has been one of the hindrance factors for Workday in making Prism Analytics more sellable.
What needs improvement with Workday Prism Analytics?
I think there are still some gaps in the solution. There is not much flexibility in how we can add external data within Workday Prisma Analytics. For now, Workday has enabled the SFTP server and Am...
What is your primary use case for Workday Prism Analytics?
As a consultant, I use Prism Analytics to implement my client systems. I first have design sessions with them, where we discuss their business gaps and then understand how Workday Prism Analytics c...
 

Also Known As

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

Overview

 

Sample Customers

Sejong Hospital
Denny's
Find out what your peers are saying about Oracle Analytics Cloud vs. Workday Prism Analytics and other solutions. Updated: February 2026.
882,813 professionals have used our research since 2012.