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Microsoft Power BI vs Oracle Analytics Cloud 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

Microsoft Power BI
Ranking in BI (Business Intelligence) Tools
1st
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
321
Ranking in other categories
Reporting (1st)
Oracle Analytics Cloud
Ranking in BI (Business Intelligence) Tools
9th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
26
Ranking in other categories
Data Visualization (6th)
 

Mindshare comparison

As of May 2025, in the BI (Business Intelligence) Tools category, the mindshare of Microsoft Power BI is 21.4%, down from 22.2% compared to the previous year. The mindshare of Oracle Analytics Cloud is 2.3%, down from 2.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools
 

Featured Reviews

Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal
Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.
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.

Quotes from Members

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

Pros

"They find Power BI's data pull mechanism to be sufficient and cost-effective, especially considering the stability it provides. In comparison with other solutions, Power BI stands out as a fantastic choice. Therefore, I would definitely recommend sticking with the Pro license."
"We have found the product to be scalable."
"The various different ETL tools within it and the ability to have different data refreshes and scheduled refreshes [real-time data refresh capabilities] have most significantly improved the data analysis processes."
"It provides easy integration with Office tools."
"The tool is very flexible so it allows creativity."
"I like Microsoft BI's drill-down feature and its overall ease of use."
"In the early stage of an implementation, it not only helps decision making, but it allows people to have insight into problems with data so that they can go and get it corrected."
"The solution integrates with other Microsoft solutions very well."
"The technical support is excellent, and they respond quickly."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"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."
"This is a stable and scalable solution."
"Oracle Analytics Cloud's most valuable feature is its visualization."
"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."
"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."
"A valuable feature is the speed of the solution."
 

Cons

"It is definitely a wonderful analytics tool. However, database ETL, data integration functionality would be absolutely perfect in many cases. Currently, it doesn't get the job done and we need to extract, transform, and load the data from faulty data sets into something more suitable for the deployment of the analytics tool."
"The solution could improve by simplifying the user interface and adding integration or compatibility with APA."
"Microsoft BI typically connects to a database, often SQL Server, but it's also capable of connecting to multiple databases, pulling data from them, and allowing for data consolidation. You can then aggregate and generate dashboards and reports from this combined data. Personally, I wouldn't claim to have the expertise to suggest significant changes or additional features, as it functions quite well as is."
"The solution is somewhat costly in comparison with MSBI tools."
"We would like improvements made to the paginated reports so that it produces quality similarly to SSRS."
"I would like to see a feature that connects with a Machine Learning platform like a RapidMiner or Azure Machine Learning Studio. It would be great to have a Machine Learning application link to connect."
"The solution should increase the API functionality so that we can use Microsoft Power BI for other purposes and aggregate things."
"I'm looking for something that can make it much easier to incorporate Power BI visuals or dashboards into, let's say, Power Apps – custom Power Apps or anything like that. The most important thing would be to seamlessly embed reports in applications. For example, to have buttons that can be navigated through multiple solutions – from Power Apps to Power BI to SharePoint – via links or something like that."
"The scalability has room for improvement."
"Sharing dataflows is not possible at this time, and the custom chart functionality is not available."
"Analytics Cloud allows you to merge various data types and structure data from multiple sources."
"Its machine learning and visualization capabilities can be improved. There should be more visualization options."
"At this time, dataflows cannot be shared, but I think that this should be enhanced."
"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 interfaces could be improved and some in-memory operations could be built in."
"The implementation of generative AI and machine learning should improve"
 

Pricing and Cost Advice

"We are end-users, and we don't take care of the prices and accounting. We get a product and pay the fee to our internal service provider, but its price should be reasonable. Otherwise, they wouldn't have bought it."
"The price for this solution is reasonable. However, there is an additional cost if you want to publish the dashboard privately."
"The price of Microsoft BI is expensive. We found the price of Tableau to be less expensive."
"Microsoft BI is free for the personal edition, but there is also a paid-for professional version."
"The solution's costs are quite reasonable given the range of features provided."
"Remove the cost of a licence to show a dashboard within SharePoint. Why should readers of a dashboard have to pay to view? ​"
"Price is the best feature of Power BI! You get a lot of value for the price. If you know how to use it, it's a great BI solution for your money."
"Licensing is on a monthly basis, but I am not sure."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
"The tool's pricing is not unreasonable or non-competitive."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"We pay on a monthly basis and it is $10 per user each month."
"It is an expensive platform."
"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."
"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."
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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Educational Organization
37%
Financial Services Firm
9%
Computer Software Company
7%
Government
5%
Educational Organization
31%
Computer Software Company
9%
Financial Services Firm
8%
Government
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows: 1) If you have legacies of SAP, Oracle - look for SAP...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance po...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle ...
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...
 

Also Known As

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
Oracle Analytics Cloud Service, OAC, Oracle Data Visualization, Oracle Data Visualization Cloud Service, ODV
 

Overview

 

Sample Customers

Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
Sejong Hospital
Find out what your peers are saying about Microsoft Power BI vs. Oracle Analytics Cloud and other solutions. Updated: April 2025.
852,649 professionals have used our research since 2012.