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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
7.0
Number of Reviews
327
Ranking in other categories
Reporting (1st)
Oracle Analytics Cloud
Ranking in BI (Business Intelligence) Tools
15th
Average Rating
8.0
Reviews Sentiment
7.0
Number of Reviews
27
Ranking in other categories
Data Visualization (11th)
 

Mindshare comparison

As of February 2026, in the BI (Business Intelligence) Tools category, the mindshare of Microsoft Power BI is 8.9%, down from 21.4% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.2%, down from 2.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Microsoft Power BI8.9%
Oracle Analytics Cloud1.2%
Other89.9%
BI (Business Intelligence) Tools
 

Featured Reviews

LV
HR Manager at PPB
Use advanced data preparation features in analytics projects
Microsoft Power BI can be quite slow when working with data sources that aren't from a data warehouse or a more robust source or data artifact. When working with exports, which we do frequently, the load takes considerable time. This occurs with any BI tool, and it's related to our working methods due to limitations within the area. In HR, we typically use exports because we have numerous data sources. Ideally, Microsoft Power BI would have a no-code or low-code solution for the data sources to be built by the actual developers or development team. This would eliminate the need to work directly with exports. We would have a middle ground to create a warehouse without all the infrastructure, as building a warehouse within an organization can require substantial resources, both in time and personnel.
Vaclav-Biba - PeerSpot reviewer
BI/DW Consultant at Neit Consulting
Enhanced analytics through metadata-driven reporting with enterprise-level visualizations enables competitive advantage
In my opinion, what can be better in Oracle Analytics Cloud these days is primarily about pricing. I am from the Czech Republic, which is our main market. The situation here in the Czech Republic is that Power BI rules the world. There are two main reasons for this. First, speaking about the Czech Republic specifically, and second, the Power BI pricing model appears cheaper compared to Oracle Analytics Cloud. 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.

Quotes from Members

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

Pros

"It is a pretty straightforward and flexible solution for data integration and modeling. It is a low-code solution. When you are doing data integration, you can use the GUI, which is very simple and straightforward. You can also do very intricate custom queries and model it at different levels. It is very easy to use and scalable."
"The scalability overall has been quite good."
"We have found that the reporting and publishing are great."
"What I liked most about the tool is that we can use text queries to create projects and modify columns according to our needs. There are hundreds of YouTube courses on how to use it."
"The most valuable features are the flexibility, how many ways you can interrogate the data, and the the graphical visualization."
"The one feature most of our customers like is data visualization. When we were doing BI directly from SQL, most users found it challenging to create their own reports. Power BI has self-serve analytics that the end-users can do themselves. On most projects, people are primarily using data visualization and self-serve analytics."
"I think the visualization part is valuable."
"It is quite easy to use and it helps me to achieve the projects that I've been assigned."
"The best feature may be data flow, which is used to prepare and clean data."
"The solution can scale."
"Data preparation is fantastic and fast. We were able to use multiple data sources and prepare the data quickly."
"Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us."
"The technical support services are good."
"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."
"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."
"The ability to quickly search for and access relevant data is crucial."
 

Cons

"When there are large amounts of data being processed there are additional tools needed to handle it."
"I am a SAP user and I would like this tool to have more connectors - and to more easily connect to - the ERP or SAP environment."
"They can provide a user-friendly and easy way to use this tool for people who don't know about programming or technical things. It will be quite good if they can improve the look and feel and make it simpler to operate. They can make it easier to create some of the reports. They can also include predefined templates that you can directly use."
"Areas of Power BI that could be improved are the learning curve for developers who come from non-technical backgrounds."
"The solution could improve the mobile application design. It is difficult to use compared to the desktop version."
"The product’s on-premise reporting servers could support real-time data refreshing capabilities like its on-cloud version."
"The default parameters of the prompt could be improved by including a dynamic option."
"We haven't used it that long and I haven't come across anything that's stood out as needing to be fixed."
"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'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."
"The product should be improved in terms of connectors; right now the top twenty connectors are available, but OneDrive and Teradata are missing."
"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."
"This solution could be more adaptable in its application."
"It is less scalable than Snowflake."
"When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud."
"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."
 

Pricing and Cost Advice

"The costs are small and the benefits are high."
"Their price is good."
"I used a two months free trial to see if it had what I needed."
"The license is on a yearly basis."
"We have a professional license for Microsoft BI and the price is fair."
"The cost of the solution is more flexible for us because the desktop is free and we pay as we use it in the cloud."
"It is a cheap solution for our needs."
"Costs less than most competing solutions."
"A highly cost-effective solution"
"The tool's pricing is not unreasonable or non-competitive."
"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."
"It is an expensive platform."
"Bottom line, the cost is really, really cheap compared to other solutions. Oracle has made a huge effort on the pricing."
"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."
"The product’s pricing is expensive. However, feature-wise, it fits the requirements of enterprise customers."
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Comparison Review

it_user79932 - PeerSpot reviewer
Senior Manager - BI Head with 5,001-10,000 employees
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
Financial Services Firm
12%
Government
9%
Manufacturing Company
9%
Computer Software Company
7%
Government
14%
Financial Services Firm
9%
Manufacturing Company
8%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business135
Midsize Enterprise57
Large Enterprise165
By reviewers
Company SizeCount
Small Business12
Midsize Enterprise7
Large Enterprise11
 

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: February 2026.
881,707 professionals have used our research since 2012.