Oracle Analytics Cloud vs Workday Prism Analytics comparison

Oracle and Workday are both solutions in the BI (Business Intelligence) Tools category. Oracle is ranked #18 with an average rating of 8.0, while Workday is ranked #19 with an average rating of 9.0. Oracle holds a 1.4% mindshare in BIT, compared to Workday’s 0.9% mindshare. Additionally, 77% of Oracle users are willing to recommend the solution, compared to 100% of Workday users who would recommend it.

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

5,265 Views
3,633 Comparison Views

77% willing to recommend

Workday Prism Analytics

Read 5 Workday Prism Analytics reviews

2,399 Views
2,039 Comparison Views

100% willing to recommend

Oracle Analytics Cloud

Workday Prism Analytics

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Oracle Analytics Cloud and Workday Prism Analytics compete in the enterprise analytics solutions category. Oracle has an edge with its comprehensive data processing abilities, catering to organizations deeply integrated with Oracle. Workday shines in financial and HR data management, appealing to those focused on these areas.

Features: Oracle Analytics Cloud offers powerful predictive analytics, machine learning capabilities, and efficient handling of large datasets. It is user-friendly and provides seamless integration within the Oracle ecosystem. Workday Prism Analytics stands out with advanced data blending, detailed business reporting, and real-time access to financial data.

Room for Improvement: Oracle could enhance its deployment simplicity and improve its capabilities in integrating with non-Oracle systems. Its cost and complexity might deter smaller enterprises. Workday Prism Analytics might improve by expanding into broader data processing domains, offering more flexible pricing models, and enhancing support for non-Workday systems.

Ease of Deployment and Customer Service: Oracle Analytics Cloud presents a flexible yet complex deployment model supported by Oracle's extensive service network, ideal for scalable enterprises. Workday Prism offers seamless integration with its ERP services, facilitating streamlined deployment, particularly beneficial for existing Workday users.

Pricing and ROI: Oracle Analytics Cloud involves a higher initial investment, justified by its expansive capabilities and potential long-term ROI through efficient data processing and analytics. Workday Prism Analytics offers a more cost-effective setup, delivering high ROI through precise financial and HR analytics, providing immediate value to companies in these sectors.

To learn more, read our detailed Oracle Analytics Cloud vs. Workday Prism Analytics Report (Updated: June 2026).

Buyer's Guide

Oracle Analytics Cloud vs. Workday Prism Analytics

June 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

Oracle Analytics Cloud

Ranking in BI (Business Intelligence) Tools

18th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (14th)

Workday Prism Analytics

Ranking in BI (Business Intelligence) Tools

19th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 1.4%, down from 2.6% compared to the previous year. The mindshare of Workday Prism Analytics is 0.9%, down from 1.9% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Oracle Analytics Cloud	1.4%
Workday Prism Analytics	0.9%
Other	97.7%

BI (Business Intelligence) Tools

Featured Reviews

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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Sarvesh Kumar Jha

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.

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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

"The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

"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."

"The product is easily customized."

"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."

"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."

"The solution can scale."

"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

"I really like the flexibility the solution provides in terms of data transformation."

"Feature-wise, I feel that the solution's stability is good."

"The product is easier to use compared to other applications."

"The customer service and support are pretty good."

"The solution is stable and reliable, with minimal issues affecting its performance."

Cons

"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."

"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."

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

"We did not have a positive experience with technical support."

"At this time, dataflows cannot be shared, but I think that this should be enhanced."

"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."

"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 should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

More Oracle Analytics Cloud cons

"The visualization techniques must be upgraded."

"When you create certain objects, a lot of the time, the fields are text. They’re not numeric, date, or any other field type"

"One area for improvement in the solution is the ability to manually update individual rows or columns of data once it has been uploaded."

"There is not much flexibility in how we can add external data within Workday Prisma Analytics."

"It is not a very scalable product."

Pricing and Cost Advice

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

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

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

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

"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."

"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."

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

"A highly cost-effective solution"

More Oracle Analytics Cloud pricing and cost advice

"I do not know of the licensing cost, but there are additional costs like 5,00,000 for recruitment modules."

"Based on whatever I have heard, Workday Prism Analytics is considered an expensive tool."

"The solution is very expensive."

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Top Industries

By visitors reading reviews

Financial Services Firm

10%

Government

10%

Manufacturing Company

Construction Company

Financial Services Firm

12%

Healthcare Company

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	13
Midsize Enterprise	7
Large Enterprise	11

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...

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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?

See all answers

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.

See all answers

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...

See all answers

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...

See all answers

Comparisons

Oracle OBIEE vs Oracle Analytics Cloud

Compared 7% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 6% of the time

Microsoft Power BI vs Oracle Analytics Cloud

Compared 6% of the time

More Oracle Analytics Cloud Competitors

Microsoft Power BI vs Workday Prism Analytics

Compared 22% of the time

Tableau Enterprise vs Workday Prism Analytics

Compared 13% of the time

Dotwork vs Workday Prism Analytics

Compared 8% of the time

SAP Business Data Cloud vs Workday Prism Analytics

Compared 6% of the time

Alibaba Cloud Quick BI vs Workday Prism Analytics

Compared 3% of the time

More Workday Prism Analytics Competitors

Product Reports

Buyer's Guide

Oracle Analytics Cloud

June 2026

Download Oracle Analytics Cloud product report

Buyer's Guide

BI (Business Intelligence) Tools

May 2026

Download Workday Prism Analytics product report

Also Known As

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

Prism Analytics

Overview

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

Workday Prism Analytics is a robust analytics platform offering seamless integration with Workday, allowing secure data blending from external sources such as CSV files for insightful reporting.

Workday Prism Analytics enhances data manipulation and transformation capabilities, enabling complex calculations for accurate reporting without reliance on third-party solutions. Its security configurations allow merging from different systems safely within Workday. The platform’s flexibility supports comprehensive datasets and data-driven decision-making, especially in HR and recruitment analytics. However, challenges include improving data visualization, schema printing, and external data addition. Users seek improved field types beyond text-based options and optimized methods for manual data updates. Scalability and performance with large datasets need attention to bolster efficient data analysis.

What are the key features of Workday Prism Analytics?

Stability and Intuitive Use: Offers a user-friendly interface with reliable performance.
Integration with Workday: Enables seamless data blending and manipulation within Workday ecosystem.
Data Transformation: Allows flexible and secure data merging from different systems.
Complex Calculation Support: Facilitates comprehensive reporting capabilities.

What are the expected benefits for users of Workday Prism Analytics?

Comprehensive Reporting: Eliminates need for third-party reporting solutions, providing accurate insights.
Data-Driven Decisions: Enhances decision-making through detailed data analysis.
Security Maintenance: Ensures essential security configurations during data integration.
Enhanced HR and Recruitment Analytics: Enables effective analytics for HR processes and recruitment activities.

Industries implement Workday Prism Analytics for HR and data analytics, focusing on extracting data for analysis and custom reporting. Common use includes generating KPIs and bridging gaps in client systems, such as integrating data from SAP, facilitating HR processes, recruitment, and creating reports not possible within Workday. Consultants often handle technical aspects and training, ensuring optimal use in generating insights and supporting data-driven strategies.

Workday

Sample Customers

Sejong Hospital

Denny's

Buyer's Guide

Oracle Analytics Cloud vs. Workday Prism Analytics

June 2026

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