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 8.3, while Oracle is ranked #19 with an average rating of 8.0. Microsoft holds a 7.1% 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 332 Microsoft Power BI reviews

39,361 Views
25,978 Comparison Views

93% willing to recommend

Oracle Analytics Cloud

Read 28 Oracle Analytics Cloud reviews

6,525 Views
4,568 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: September 2026).

Buyer's Guide

Microsoft Power BI vs. Oracle Analytics Cloud

September 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

19th

Average Rating

8.0

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

Data Visualization (15th)

Mindshare comparison

As of September 2026, in the BI (Business Intelligence) Tools category, the mindshare of Microsoft Power BI is 7.1%, down from 14.5% compared to the previous year. The mindshare of Oracle Analytics Cloud is 1.4%, down from 2.0% 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	7.1%
Oracle Analytics Cloud	1.4%
Other	91.5%

BI (Business Intelligence) Tools

Featured Reviews

Hemanthreddy Vakiti

Junior 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

"We are running over 500,000 reports annually, and it provides data feeds for enterprise KPI reporting and AI."

"The most valuable feature of Microsoft BI is its visualization and its ease of use."

"The business users have taken to Microsoft BI like a duck to water."

"We were able to reduce costs by consolidating the 3 Crystal Report Servers down to just one server running SSRS (with one backup just in case)."

"The visualization and reporting are the most valuable features of this solution, and it is quite flexible for reporting purposes."

"Alternatively, if you just want to use what is available to you, and with a little bit of UX/UI knowledge and creativity, you can build really cool stuff with it."

"My overall experience with Microsoft SQL Server Reporting Services is that it is easy to install and to integrate in an enterprise setting."

"The initial setup is simple to do."

More Microsoft Power BI pros

"I've discovered that the new layout of this product makes Docker sharing, machine learning support, and data backups more efficient. Unlike the older method of linking physical, pre-logical, and presentation layers separately, the new interface simplifies this process. Additionally, the integration of databases and machine learning is seamless, with the new visualization approach being particularly beautiful and highly beneficial."

"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."

"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 stability of the product itself by virtue of the fact that it's a cloud product and Oracle is responsible for its hosting is valuable."

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

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

"I have found that the scalability quality of Oracle Analytics Cloud works extremely well."

"Oracle Analytics Cloud is more refined compared to the on-premises version of OBIEE."

More Oracle Analytics Cloud pros

Cons

"Reporting or SharePoint needs a lot of learning so you can build reports"

"Automation could be improved and performance enhanced."

"I think that there should be visuals for financial reporting videos. It should just be a plug and play because there is a lot of coding that goes into it with different clients."

"I believe Power BI could improve by making data tables and databases easier to handle, especially for non-programmers who may not be familiar with languages like Python. Simplifying these aspects would enhance the usability and accessibility of Power BI for a broader range of users."

"Integrating it with the physics build model or the engineering model should be included."

"The aggregate functions in SSRS."

"They asked you to pay if you want to synchronize more than eight times, you would have to go to a Power BI enterprise license, which is much more costly."

"The initial setup is pretty complex. It's not straightforward or simple."

More Microsoft Power BI cons

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

"When you want to scale up and improve the computing power, it becomes extremely costly."

"One area of improvement is associated with more connectors needing to be added such as Microsoft OneDrive, Teradata and a few others. I think the list is limited to the top ones now."

"The scalability has room for improvement."

"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."

"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."

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

"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."

More Oracle Analytics Cloud cons

Pricing and Cost Advice

"The pricing is reasonable."

"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."

"Once the trial period for the BI service is over, the cost is approximately $10 USD per user, per month, so it's quite reasonable."

"MS BI comes with all the tools and it is, to the best of my knowledge, the most affordable solution."

"Globally, we evaluated a number of products, including Salesforce's product, Microsoft won on the ground of simple functionally and cost."

"If it has to be applied on the cloud, then it costs around $10 per month per user. For a pro license and for a premium license it's around $20 per month per user. If it has to be applied on-premises then, depending on the course of your server, you have to buy a software assurance version of the database."

"No comment on pricing."

"The solution’s pricing is reasonable."

More Microsoft Power BI pricing and cost advice

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

"A highly cost-effective solution"

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

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

"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."

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

"The tool's pricing is not unreasonable or non-competitive."

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%

Construction Company

Manufacturing Company

Government

Financial Services Firm

Government

Construction Company

University

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 10% of the time

Domo vs Microsoft Power BI

Compared 5% of the time

IBM Cognos vs Microsoft Power BI

Compared 2% 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

SAP BusinessObjects Business Intelligence vs Oracle Analytics Cloud

Compared 6% of the time

Tableau Enterprise vs Oracle Analytics Cloud

Compared 6% 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

September 2026

Download Microsoft Power BI product report

Buyer's Guide

Oracle Analytics Cloud

September 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

September 2026

Free Report: Microsoft Power BI vs. Oracle Analytics Cloud

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