Microsoft Power BI vs Oracle Analytics Cloud comparison

Microsoft and Oracle are both solutions in the BI (Business Intelligence) Tools category. Microsoft is ranked #1 with an average rating of 8.2, while Oracle is ranked #18 with an average rating of 8.0. Microsoft holds a 7.5% mindshare in BIT, compared to Oracle’s 1.4% mindshare. Additionally, 93% of Microsoft users are willing to recommend the solution, compared to 77% of Oracle users who would recommend it.

Microsoft Power BI

Read 331 Microsoft Power BI reviews

32,121 Views
21,200 Comparison Views

93% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

5,265 Views
3,633 Comparison Views

77% willing to recommend

Microsoft Power BI

Oracle Analytics Cloud

Comparison Buyer's Guide

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Executive SummaryUpdated on Jan 1, 2025

Microsoft Power BI and Oracle Analytics Cloud are prominent competitors in the business intelligence field. Power BI is often preferred for its integration with Microsoft services and affordability, giving it an edge for businesses of all sizes. Conversely, Oracle Analytics Cloud's strength lies in its advanced analytics capabilities, appealing to larger enterprises.

Features: Microsoft Power BI excels in integration across Microsoft services, self-service capabilities for creating dashboards and reports, and cost-effective pricing. Oracle Analytics Cloud is distinguished by its predictive analytics and data visualization features, which are particularly appealing to enterprises requiring comprehensive analytics.

Room for Improvement: Power BI could benefit from expanded data source compatibility, enhanced DirectQuery options, and a more straightforward licensing model. Oracle Analytics Cloud would be improved by a more user-friendly interface, reduced pricing, and better chart offerings and data integration processes.

Ease of Deployment and Customer Service: Both platforms support various deployment options, including public, private, and hybrid clouds. Power BI is praised for its quick deployment and supportive online community, although its customer service could improve for complex issues. Oracle Analytics Cloud, while generally well-regarded, faces challenges in deployment complexity and service variability.

Pricing and ROI: Power BI offers strong value with competitive pricing and a free version, making it accessible for small to medium businesses with noted ROI. Oracle Analytics Cloud, though more expensive, offers robust analytics that can justify the cost for large enterprises requiring advanced features.

To learn more, read our detailed Microsoft Power BI vs. Oracle Analytics Cloud Report (Updated: June 2026).

Buyer's Guide

Microsoft Power BI vs. Oracle Analytics Cloud

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

Microsoft Power BI

Ranking in BI (Business Intelligence) Tools

1st

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

331

Ranking in other categories

Reporting (1st)

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)

Mindshare comparison

As of June 2026, in the BI (Business Intelligence) Tools category, the mindshare of Microsoft Power BI is 7.5%, down from 21.0% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.4%, down from 2.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

BI (Business Intelligence) Tools Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	7.5%
Oracle Analytics Cloud	1.4%
Other	91.1%

BI (Business Intelligence) Tools

Featured Reviews

Hemanthreddy Vakiti

Data engineer at a tech vendor with 10,001+ employees

Interactive dashboards have transformed restaurant data into faster daily business decisions

Microsoft Power BI has many features and there is not a lot to improve. However, the licensing can be confusing. When deciding between Pro and Premium, I find it difficult to distinguish what features are offered by Pro and what features are offered by Premium, including the particular differences to choose between both licensing models. Additionally, some features such as DAX, which I mentioned previously, involve DAX calculations and complex data modeling, which are somewhat advanced and not easily understandable. Prior knowledge is required or you need to go through the documentation. If the documentation is made comprehensive so that anyone with no knowledge on DAX can easily use it by going through the documentation, it would be really helpful. Additionally, if the integration with non-Microsoft tools is improved and performance is optimized, then Microsoft Power BI can become a top-ranked visualization tool. The user experience with Microsoft Power BI is quite good. The intuitive user interface makes it easy for both technical and non-technical users to create reports. However, only the advanced features are somewhat complex, and if the documentation is improved, it can be easily accessible.

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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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Quotes from Members

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

Pros

"The scalability is good. We have 20 people in my organization using this solution and plan to increase usage."

"It is a little easier at buildings charts and graphs than Tableau."

"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."

"The uploading of information is very easy, as you just use an Excel sheet to start work right away and obtain the benefits of Power BI."

"In contrast to what we were using before I think that Power BI has given us more extensive results."

"With Power BI, you're able to store your data within spreadsheets and SharePoints, and then have Power BI pull the data out and report on it. So we actually saved a ton of money not needing to load the data into databases, which is a big prerequisite for many other reporting tools."

"The Microsoft Power BI app is very good. It's also very flexible."

"Ability to extract data from a variety of sources and systems."

More Microsoft Power BI pros

"A valuable feature is the speed of the solution."

"The best feature may be data flow, which is used to prepare and clean data."

"Oracle Analytics Cloud is not very user-friendly, however, it is robust and capable of performing a wide range of tasks."

"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 technical support services are good."

"The dashboards, analytics, visualizations, and different reports are valuable for business analytics."

"The scalability is acknowledged as pretty good, although my evaluation is limited because I used the tool for a short period."

"Oracle Analytics Cloud's most valuable feature is its visualization."

More Oracle Analytics Cloud pros

Cons

"We identified a couple of issues in the reports. Some reports took too long to load, particularly at the end of our data refresh."

"I'm not overly technical, and so I can't really speak to any shortcomings from a technical standpoint."

"I have observed issues regarding stability."

"When we have a big report with lots of data, the solution slows down quite a lot."

"We have used other solutions and the reporting functionality should be user-friendly and have a drag and drop feature should be available, but Microsoft BI doesn't have these features. When you are creating reports and you can't change as a user. Every time you need one developer or one technical person to make the changes."

"We would like it if they added more Python libraries in the Power BI service. For Power BI service right now, you can use Python, but it is limited to a few libraries or a few packages from Python."

"The only challenge I have found is that they do not have a Mac version of Power BI."

"Regarding drawbacks or weak points in Microsoft Power BI, it may not be directly related to the tool itself, but with our architecture, as we couldn't get a service account, which is an email address that has no relationship with the employees, just to establish the connection with Anaplan."

More Microsoft Power BI 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."

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

"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."

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

"They could improve the ease of developing the dashboard and interacting with it."

"When you implement the product on a small scale, it doesn't generate any ROI."

"The scalability has room for improvement."

"This solution could be more adaptable in its application."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"The price of Microsoft BI is expensive. We found the price of Tableau to be less expensive."

"Both cost-wise and implementation-wise, this product is a good choice."

"Power BI is cheaper than Tableau and Cognos."

"It depends upon the tier of your Office 365 subscription. On E5, which is a Microsoft Azure subscription, you get it for free. If you are on a lower tier, you can subscribe for $10 a month per user, which is really cheap."

"Downloading Power BI Desktop is free."

"Costs less than most competing solutions."

"I used a two months free trial to see if it had what I needed."

"Microsoft BI is not expensive. Compared to the price of other BI products, the price is very fair."

More Microsoft Power BI pricing and cost advice

"Oracle Analytics Cloud's pricing is generally higher than that of other vendors."

"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."

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

"A highly cost-effective solution"

"It is an expensive platform."

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

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

More Oracle Analytics Cloud pricing and cost advice

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Comparison Review

it_user79932

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…

Read full review

Top Industries

By visitors reading reviews

Financial Services Firm

14%

Manufacturing Company

Government

Construction Company

Financial Services Firm

10%

Government

10%

Manufacturing Company

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	136
Midsize Enterprise	59
Large Enterprise	171

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

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...

See all answers

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...

See all answers

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 ...

See all answers

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...

See all answers

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

Comparisons

Amazon QuickSight vs Microsoft Power BI

Compared 16% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 12% of the time

Domo vs Microsoft Power BI

Compared 7% of the time

QlikView vs Microsoft Power BI

Compared 2% of the time

IBM Cognos vs Microsoft Power BI

Compared 2% of the time

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Oracle OBIEE vs Oracle Analytics Cloud

Compared 7% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 7% of the time

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 6% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Microsoft Power BI

June 2026

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Buyer's Guide

Oracle Analytics Cloud

June 2026

Download Oracle Analytics Cloud product report

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

Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

Microsoft

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

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

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Buyer's Guide

Microsoft Power BI vs. Oracle Analytics Cloud

June 2026

Free Report: Microsoft Power BI vs. Oracle Analytics Cloud

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