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 #14 with an average rating of 8.0. Microsoft holds a 8.1% 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

30,090 Views
19,559 Comparison Views

93% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

4,728 Views
3,215 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: April 2026).

Buyer's Guide

Microsoft Power BI vs. Oracle Analytics Cloud

April 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

14th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (11th)

Mindshare comparison

As of May 2026, in the BI (Business Intelligence) Tools category, the mindshare of Microsoft Power BI is 8.1%, down from 21.4% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.4%, down from 2.4% 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	8.1%
Oracle Analytics Cloud	1.4%
Other	90.5%

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.

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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 solution is quite stable; I'd call it reliable, as it doesn't crash or freeze and I can't recall bugs or glitches happening."

"Power BI is a complete ecosystem. It has an integrated ETL tool and good connectivity with applications such as Office 365 and SQL. There are also solutions for RPA, such as Microsoft Power Automate and Microsoft Power Apps. Power BI now has integration with Power Query, which has an AI feature for text analytics. Text analytics is a very good feature. This feature is also there in Tableau, but I like it in Power BI because you can write something like, "What is the total sale in the Eastern region?", and it will give you the answer. For example, when you have different types of user opinions, you just run one algorithm and you will have the output that provides the number of positive and negative responses. You can even have a dashboard with positive remarks. This feature has been introduced recently. Power BI supports the DAX and Power Query M languages. These languages are making Power BI very strong in data analytics, and you can do many types of analysis."

"What I have found valuable about Microsoft BI is its performance and ease of use."

"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."

"Power BI, once made available, can connect to various data sources, irrespective of the application, whether it be HR or business applications. The bank has many applications, but all eventually need to generate reports for tracking, distribution, or problem-finding based on analysis. Power BI was made available as part of the productivity suite to all businesses, which can connect to their applications and provide the reports and analysis they require."

"The most valuable feature of Microsoft Power BI is the drill-through feature that takes you to a details page the users want to see."

"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."

"It is useful for bringing visualization to data. It calculates counts, ratios, etc."

More Microsoft Power BI pros

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

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

"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 solution can scale."

"It plays a crucial role in facilitating decision-making for various organizational stakeholders."

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

"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 features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization."

More Oracle Analytics Cloud pros

Cons

"Areas for improvement would be the construction of reports and the dashboard budget."

"Real-time updating needs improvement."

"We did have some issues building the Microsoft blog."

"The visualization aspect, while being the most visible to business users, also happens to be the weakest point in the entire Microsoft BI stack."

"The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug."

"There is need to improve the graphical and dashboard reports; they must have tabs."

"I would like it to be a little bit more secure when I'm using the design feature on my desktop. For example, to have the ability to set up security passwords for opening the file. Currently, they don't have that. Tableau, for example, has a visual way of doing data processing steps, whereas the Power BI system still has some code, although it is very low code. It would be great to have the kind of view that Tableau has."

"Most clients have MacBooks. Therefore, they use Tableau as Power BI Desktop is not available for the MacBook right now."

More Microsoft Power BI cons

"It is expensive."

"Oracle Analytics Cloud is lacking in charts. They should add more charts to it."

"Its machine learning and visualization capabilities can be improved. There should be more visualization options."

"The product could benefit from increased flexibility compared to other vendors."

"I looked at the predictive analytics feature in Oracle Analytics Cloud, but I used it very little because, everything considered, it does not add very much."

"It should simplify data connectivity and modeling, making data extraction more streamlined and adaptable for diverse use cases."

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

"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."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"The pricing is very reasonable compared to any other tool."

"Downloading Power BI Desktop is free."

"We pay on a monthly basis which is approximately $10 per user on the Microsoft Power BI Pro license. At the moment we are still down at 400 users, but once we reach 500 users, we will move to the premium edition. The premium is $5,000 for unlimited users. Currently, with the 40 users, the cost is roughly $500."

"They are charging us by users in storage, and there is a license fee. My financial people handle all that. The client has already worked out a contract with Microsoft, and basically, we're getting government prices."

"Licensing fees are paid on a yearly basis."

"The solution's pricing is medium."

"This solution came free, it was offered by Microsoft with our E3 license."

"Paid for itself in the first month."

More Microsoft Power BI pricing and cost advice

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

"The price is reasonable; it's quite a bit lower than Tableau and Spotfire."

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

"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."

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

"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."

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

Computer Software 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 do you like most about Oracle Analytics Cloud?

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

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...

See all answers

Comparisons

Amazon QuickSight vs Microsoft Power BI

Compared 17% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 12% of the time

Domo vs Microsoft Power BI

Compared 6% 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 7% of the time

SAP Business Data Cloud vs Oracle Analytics Cloud

Compared 5% of the time

Zoho Analytics vs Oracle Analytics Cloud

Compared 5% of the time

More Oracle Analytics Cloud Competitors

Product Reports

Buyer's Guide

Microsoft Power BI

April 2026

Download Microsoft Power BI product report

Buyer's Guide

Oracle Analytics Cloud

April 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

April 2026

Free Report: Microsoft Power BI vs. Oracle Analytics Cloud

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