Microsoft Power BI vs Oracle Analytics Cloud comparison

Why PeerSpot?

Microsoft and Oracle are both solutions in the BI (Business Intelligence) Tools category. Microsoft is ranked #1 with an average rating of 8.4, while Oracle is ranked #18 with an average rating of 8.0. Microsoft holds a 7.6% mindshare in BIT, compared to Oracle’s 1.5% 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 332 Microsoft Power BI reviews

41,703 Views
27,941 Comparison Views

93% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

7,424 Views
5,197 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: November 2026).

Buyer's Guide

Microsoft Power BI vs. Oracle Analytics Cloud

November 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

332

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 (15th)

Mindshare comparison

As of November 2026, in the BI (Business Intelligence) Tools category, the mindshare of Microsoft Power BI is 7.6%, down from 12.6% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.5%, down from 1.7% 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	7.6%
Oracle Analytics Cloud	1.5%
Other	90.9%

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.

Read full review

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.

Read full review

Quotes from Members

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

Pros

"Its visualizations and dashboards are most valuable. Power BI is great in terms of visualizations and dashboards. The reports that we previously had were not very nice in terms of visualization. It also provides the ability to play with the data."

"The primary use cases for Microsoft BI are typical for business intelligence, including operational monitoring and KPI tracking."

"The most useful features are the ability to connect different databases to Microsoft BI and explore them. Once the database information has been extracted, you have the ability to construct indicators and dashboards from the information."

"The initial setup is pretty straightforward."

"What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable."

"The solution has been stable, we've found that the scalability meets our current needs, it's good for data visualization and analysis, and technical support has always been great for us as strategic partners."

"The user interface is easy to work with."

"Many of my customers already use Microsoft products like Office 365, so I often propose Microsoft Power BI because it integrates well with all the standard Microsoft business tools. And it's the quickest tool to implement and start using daily."

More Microsoft Power BI pros

"The most valuable features of the solution are dashboarding and data visualization."

"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."

"Oracle Analytics Cloud allowed us to deliver faster analytics and to have a self-secured, self-tuning, self-maintained platform."

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

"This solution is not that well known by clients but is a great product to use."

"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."

"Its scalability is really what makes it stand out; you can on the fly increase the processing capacity of your instance for as long as you need it and then bring it back to whatever minimum setting you had, all with no downtime, which is very impressive."

"The ability to quickly search for and access relevant data is crucial."

More Oracle Analytics Cloud pros

Cons

"Power BI shows reports on actual data, not metadata."

"I think because I'm moving more into RPA, I'd definitely like to see integration across the RPA, Power BI, or Tableau platforms, because that integration could then make automation and mundane reporting much faster."

"The current licensing model that Microsoft BI has is expensive."

"Real-time refreshing for SAP BW would be nice. We know its on the radar for the development team at MS. "

"Dependency on data warehousing and pricing."

"We were having trouble working with the icons."

"I would rate the stability of Microsoft BI at 70 percent. While the solution is scalable, it certainly has its limitations."

"These licenses are in US dollars. With a long-term license, the client is unaffected when the exchange rate goes up. However, if the exchange rate goes down, you don't get refunded from the excess money you've paid. I guess that is a risk you take in business."

More Microsoft Power BI 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 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."

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

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

"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 price of the solution could be lower."

"It is expensive."

"Enterprise customers shy away from purchasing Oracle Analytics Cloud and prefer competing solutions from Tableau and Microsoft."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"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."

"I very much recommend the free trial mode."

"The premium licensing is approximately $5,000 per month which is pretty expensive."

"Their price is good."

"This product offers good value for the money."

"Compared to others, I think it is reasonable."

"It is based on the usage. If you're using it, you pay for it, and if you're not using it, you stop paying for it."

"Licensing fees are paid on a yearly basis."

More Microsoft Power BI pricing and cost advice

"A highly cost-effective solution"

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

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

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

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

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

"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."

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

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

13%

Manufacturing Company

Construction Company

Outsourcing Company

Financial Services Firm

Manufacturing Company

Government

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	137
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 14% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 8% of the time

Domo vs Microsoft Power BI

Compared 4% of the time

IBM Cognos vs Microsoft Power BI

Compared 3% of the time

QlikView vs Microsoft Power BI

Compared 2% of the time

More Microsoft Power BI Competitors

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 7% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% of the time

Oracle OBIEE vs Oracle Analytics Cloud

Compared 5% of the time

Qlik Sense vs Oracle Analytics Cloud

Compared 3% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Microsoft Power BI

October 2026

Download Microsoft Power BI product report

Buyer's Guide

Oracle Analytics Cloud

October 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

Sejong Hospital

Buyer's Guide

Microsoft Power BI vs. Oracle Analytics Cloud

November 2026

Free Report: Microsoft Power BI vs. Oracle Analytics Cloud

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