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Oracle Analytics Cloud vs Pyramid 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
10th
Ranking in Data Visualization
7th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
26
Ranking in other categories
No ranking in other categories
Pyramid Analytics
Ranking in BI (Business Intelligence) Tools
15th
Ranking in Data Visualization
12th
Average Rating
7.6
Reviews Sentiment
6.4
Number of Reviews
8
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2025, in the BI (Business Intelligence) Tools category, the mindshare of Oracle Analytics Cloud is 2.6%, up from 2.5% compared to the previous year. The mindshare of Pyramid Analytics is 0.9%, up from 0.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

Enrique Pacheco Salinas - PeerSpot reviewer
Advanced analytics facilitate strategy development but demand specialized expertise and better support
Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks. However, skilled personnel are needed to operate it effectively due to its complexity. In addition, the brand name carries significant value as many large companies and banks are familiar with Oracle.
Shyam Pendyala - PeerSpot reviewer
A comprehensive and user-friendly business intelligence for enhanced data insight
When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.

Quotes from Members

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

Pros

"The solution can scale."
"The best feature may be data flow, which is used to prepare and clean data."
"It's valuable feature is that it is user-friendly and doesn't require much time for understanding. The solution is stable. The initial setup was straightforward."
"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."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks."
"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 most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries."
"Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources."
"The on-premise version has quite good scalability."
"The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job."
"It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports."
"I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI."
"It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data."
"It seems quite performant in analyzing multi-dimensional information sets and presenting them."
 

Cons

"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."
"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'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."
"This solution could be more adaptable in its application."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."
"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."
"The implementation of generative AI and machine learning should improve"
"It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields."
"I find that this is quite a heavy, time-consuming tool for developers."
"I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI."
"The general amount of negative comments that I am hearing from my team makes me very wary."
"There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid."
"Pyramid Analytics could improve by speeding up data refresh, especially for large datasets."
"Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved."
"There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard."
 

Pricing and Cost Advice

"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."
"The tool's pricing is not unreasonable or non-competitive."
"I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"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 price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"A highly cost-effective solution"
"The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules."
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Top Industries

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

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 do you like most about Pyramid Analytics?
The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries.
What is your experience regarding pricing and costs for Pyramid Analytics?
I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies ...
What needs improvement with Pyramid Analytics?
Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source sys...
 

Also Known As

Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
No data available
 

Overview

 

Sample Customers

Sejong Hospital
US Department of Veterans Affair, Volkswagen, Siemens, Blackboard, Hallmark, Orange, CDW, LA Fitness, Atelier GS, Memorial Healthcare, Acadia Insurance, BancoBic, Advanced Learning, Microsoft, Drake University
Find out what your peers are saying about Oracle Analytics Cloud vs. Pyramid Analytics and other solutions. Updated: August 2025.
865,164 professionals have used our research since 2012.