Microsoft Power BI vs OpenText Intelligence comparison

Microsoft and OpenText are both solutions in the Reporting category. Microsoft is ranked #1 with an average rating of 8.4, while OpenText is ranked #29. Microsoft holds a 12.9% mindshare in RT, compared to OpenText’s 1.5% mindshare. Additionally, 93% of Microsoft users are willing to recommend the solution, compared to 100% of OpenText users who would recommend it.

Microsoft Power BI

Read 332 Microsoft Power BI reviews

36,430 Views
15,301 Comparison Views

93% willing to recommend

OpenText Intelligence

Read 1 OpenText Intelligence review

2,503 Views
1,001 Comparison Views

100% willing to recommend

Microsoft Power BI

OpenText Intelligence

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 29, 2026

Microsoft Power BI and OpenText Intelligence are competing analytics solutions in the business intelligence sector. While Microsoft Power BI is preferred for its cost-effectiveness and ease of deployment, OpenText Intelligence takes the lead for feature-focused buyers due to its advanced capabilities.

Features: Microsoft Power BI is known for its robust data visualization, seamless integration with other Microsoft services, and strong community support. OpenText Intelligence is distinguished by its advanced analytics, superior data integration, and comprehensive information management features suitable for large enterprise needs.

Ease of Deployment and Customer Service: Microsoft Power BI offers a streamlined deployment model with cloud-based options and extensive support through documentation and various channels. OpenText Intelligence focuses on customized solutions for enterprises with dedicated account managers providing personalized service.

Pricing and ROI: Microsoft Power BI presents a budget-friendly initial setup cost with substantial ROI from its quick adoption and widespread usage. OpenText Intelligence requires a higher initial investment but delivers significant long-term ROI through its expansive features and scalability.

To learn more, read our detailed Reporting Report (Updated: July 2026).

Buyer's Guide

Reporting

July 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

Ranking in Reporting

1st

Average Rating

8.0

Reviews Sentiment

6.6

Number of Reviews

332

Ranking in other categories

No ranking in other categories

OpenText Intelligence

Ranking in BI (Business Intelligence) Tools

37th

Ranking in Reporting

29th

Average Rating

8.0

Reviews Sentiment

7.7

Number of Reviews

Ranking in other categories

Data Visualization (25th)

Mindshare comparison

As of August 2026, in the Reporting category, the mindshare of Microsoft Power BI is 12.9%, down from 25.3% compared to the previous year. The mindshare of OpenText Intelligence is 1.5%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Reporting Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	12.9%
OpenText Intelligence	1.5%
Other	85.6%

Reporting

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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it_user220707

Director & Lead Consultant at a consultancy with 51-200 employees

The Briefing Book feature enables measures to be filtered and viewed based on different criteria by end users.

This software is targeted at executive users, not the data analysts who want to slice and dice. The software will not replace your BI tools, but it will sit nicely on top of a BI tool if you want management to have quick and easy access to performance data. Initiative Management Metrics Management – Key Interfaces

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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

"Microsoft BI is easy to use and to design. I found Microsoft BI a lot easier than Tableau."

"It is a solution that is easy for developers to be hands-on, even if they do not have prior experience with it."

"As it is cloud-based, this solution is always providing us with the latest version to use."

"You can find everything on their website."

"It is easy to set up."

"The most interesting feature of Microsoft Power BI is that it's very user-friendly."

"There is also a chart store where we can download charts, which is extremely useful."

"The solution's initial setup isn't too complicated."

More Microsoft Power BI pros

"It is a comprehensive solution for performance management, and yet it is easy to setup and easy to use, especially in comparison with Oracle, SAS, Hyperion and SAP."

Cons

"The issue with the data refresh frequency in Microsoft Power BI is that it's not frequent enough."

"They can improve it in terms of rule-based security. Currently, it has very limited rules."

"Defining a relationship was very confusing. There were circular directions for which I had to do a lot of adjustments in the data. They can do something to make it easier."

"It's not as wonderful as Microsoft pretends it to be, but it's not bad, and I am not knocking it, but you have to cut out all the hype that comes with it."

"When you're building, the documentation sucks. It's a painful experience to find out how to do things inside the connector framework."

"Microsoft BI could improve by allowing large-size data sources. We have large data sources, and we have problems loading them in Microsoft BI."

"The DAX in Microsoft BI is quite difficult."

"When you go to the cloud, its licensing is not intuitive. It is a little bit complex. When you have to purchase a new license, it is difficult to understand on their website what exactly you need to pay and how you can group. It is something that is applicable to all Microsoft products. They're not always so simple and clear when it comes to licensing. Their support can also be better in terms of explaining how they resolved an issue and what steps they took to resolve it. They are able to resolve the issue, but they can be better at explaining the approach they took to resolve the issue. It could have something in the direction of machine learning. It can have some kind of integration with machine learning where you can ask for some reports with natural language."

More Microsoft Power BI cons

"It needs to have better quality built in reports."

Pricing and Cost Advice

"Make it low in cost. It is a no-brainer!"

"Price is the best feature of Power BI! You get a lot of value for the price. If you know how to use it, it's a great BI solution for your money."

"I used the tool's free version."

"The solution is affordable."

"It is somewhere in the middle in terms of price. Licensing is quite clear."

"I would rate the pricing an eight out of ten, with one being cheap and ten being expensive."

"Microsoft BI is very cost-effective and this is why we use it."

"In the beginning, the solution cost approximately $1,000 per month, we have a Microsoft startup subscription. There is a subscription pack for startups company which we are able to have for one year."

More Microsoft Power BI pricing and cost advice

Information not available

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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%

Construction Company

Manufacturing Company

Government

Construction Company

17%

Comms Service Provider

12%

Outsourcing Company

11%

Insurance 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

No data available

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...

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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 ...

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Comparisons

Amazon QuickSight vs Microsoft Power BI

Compared 16% of the time

Tableau Enterprise vs Microsoft Power BI

Compared 11% 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

More Microsoft Power BI Competitors

Qlik Sense vs OpenText Intelligence

Compared 12% of the time

Tableau Enterprise vs OpenText Intelligence

Compared 11% of the time

Writ vs OpenText Intelligence

Compared 6% of the time

Salesforce Einstein Analytics vs OpenText Intelligence

Compared 5% of the time

Knowage vs OpenText Intelligence

Compared 5% of the time

More OpenText Intelligence Competitors

Product Reports

Buyer's Guide

Microsoft Power BI

July 2026

Download Microsoft Power BI product report

Buyer's Guide

Reporting

July 2026

Download OpenText Intelligence product report

Also Known As

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI

OpenText Magellan Analytics Suite, BIRT iHub Visualization Platform, OpenText Actuate Information Hub

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

OpenText Intelligence is a powerful analytics tool designed to help organizations make data-driven decisions through its comprehensive features and applications.

In today’s data-rich environment, OpenText Intelligence stands out with its capabilities to process, analyze, and visualize complex data sets efficiently. It allows enterprises to unlock insights that inform strategy and drive growth. By integrating seamlessly with existing systems, it promotes agility and enhances analytical processes. Users appreciate its ability to transform raw data into actionable intelligence, streamlining operations and fostering a culture of informed decision-making.

What are the standout features of OpenText Intelligence?

Data Visualization: Provides intuitive charts and graphs for easy comprehension of complex data.
Scalability: Adapts to growing data needs, ensuring robust performance across different data volumes.
Integration Capabilities: Offers seamless integration with other enterprise systems for enhanced efficiency.
Automated Reporting: Delivers regular reports without manual intervention, saving time and resources.

What benefits or ROI should users expect when choosing OpenText Intelligence?

Enhanced Decision-Making: Empowers businesses with real-time insights, driving informed choices.
Operational Efficiency: Streamlines processes, reducing inefficiencies and operational costs.
Data-Driven Culture: Fosters a shift towards analytics-based operations, improving strategic outcomes.
Cost-Effectiveness: Offers a strong return on investment through improved analytics and reporting.

OpenText Intelligence is effectively utilized across sectors like finance, healthcare, and manufacturing, adapting its functions to meet sector-specific challenges. In finance, it helps manage risk and compliance, while in healthcare, it supports patient data analysis and operational efficiencies. In manufacturing, it aids in supply chain optimization and quality assurance.

OpenText

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

Sasktel, NSBSL

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