Microsoft Power BI vs Plotly Dash Enterprise comparison

Microsoft and Plotly are both solutions in the Reporting category. Microsoft is ranked #1 with an average rating of 8.1, while Plotly is ranked #17 with an average rating of 8.0. Microsoft holds a 17.4% mindshare in RT, compared to Plotly’s 1.8% mindshare. Additionally, 93% of Microsoft users are willing to recommend the solution, compared to 100% of Plotly users who would recommend it.

Microsoft Power BI

Read 329 Microsoft Power BI reviews

24,257 Views
10,188 Comparison Views

93% willing to recommend

Plotly Dash Enterprise

Read 4 Plotly Dash Enterprise reviews

865 Views
787 Comparison Views

100% willing to recommend

Microsoft Power BI

Plotly Dash Enterprise

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 8, 2026

Microsoft Power BI and Plotly Dash Enterprise both compete in data visualization and analytics. Microsoft Power BI holds an advantage in its ease of use and strong support network, whereas Plotly Dash Enterprise is preferred for its robust customization capabilities.

Features: Microsoft Power BI provides seamless integration with Microsoft products, supports a wide range of data sources, and offers intuitive interface design. Plotly Dash Enterprise offers highly customizable dashboards, interactive data visualization, and personalized data experiences.

Ease of Deployment and Customer Service: Microsoft Power BI offers easy setup with its cloud-based model and benefits from Microsoft's extensive support. Plotly Dash Enterprise requires more technical deployment but provides comprehensive support for troubleshooting.

Pricing and ROI: Microsoft Power BI is cost-effective with flexible licensing, delivering high ROI for budget-conscious businesses. Plotly Dash Enterprise requires a larger investment but offers worthwhile ROI for custom data visualization needs.

To learn more, read our detailed Microsoft Power BI vs. Plotly Dash Enterprise Report (Updated: March 2026).

Buyer's Guide

Microsoft Power BI vs. Plotly Dash Enterprise

March 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 Reporting

1st

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

329

Ranking in other categories

BI (Business Intelligence) Tools (1st)

Plotly Dash Enterprise

Ranking in Reporting

17th

Average Rating

7.8

Reviews Sentiment

4.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of March 2026, in the Reporting category, the mindshare of Microsoft Power BI is 17.4%, down from 27.3% compared to the previous year. The mindshare of Plotly Dash Enterprise is 1.8%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Reporting Mindshare Distribution
Product	Mindshare (%)
Microsoft Power BI	17.4%
Plotly Dash Enterprise	1.8%
Other	80.8%

Reporting

Featured Reviews

Antonio Flor

Lead Anaplanner at Chaucer Group

Data integration has improved reserving and expense control while collaboration drives fast dashboards

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. We couldn't get it to work on SSO, so we use an employee account which could be a point of weakness, meaning if the person leaves, that connection will break. If the person goes on holiday and we need to refresh, we have to change the connection as well, but we have to live with that since we're not using SSO on the service account. Regarding the natural language processing feature, we're trying to avoid using it too much because it can slow down the connection, so as much as possible, we try to build the logic and any transformation in Anaplan, and then deliver an end product to Microsoft Power BI.

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reviewer2785038

Senior Data Engineer at a transportation company with 501-1,000 employees

Python dashboards have transformed employment data into interactive insights for better decisions

The main improvement I can think of is that while creating charts, it gives you a certain format of how it could look. If you want to create something extra and go more vivid and creative with how the actual chart would look, it allows for that option but could be improved to be more artistic or aesthetically pleasing. This sort of format is missing, and I think it would be beneficial to the analytics team if it can be more interactive, with the capability of D3.js, and give us more control over how our actual dashboard would look to achieve a more aesthetic appearance. The strict format of how you can shape those charts and that extra nuance you need to keep in code to get the exact possible results are the reasons behind my rating. The rest of the features provided by Plotly are extremely good.

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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

"Other people can access data much more easily than before. Its usability is the main advantage, people in the company are using it."

"We have found the solution to be stable."

"I like the fact that Power BI lets me use Excel data. At least 90% of my state data is in Excel spreadsheets. Having the ability to just attach a spreadsheet as a data source is very, very important. It's also good for training and teaching. Sometimes you don't always have access to a live production database, so having a spreadsheet with sample data is always nice."

"It is in the cloud, which makes it easy for mobile access of reports and data."

"SSRS and the Tabular server/Vertipaq engine/DAX are probably the two most valuable components."

"It is quite easy to use and it helps me to achieve the projects that I've been assigned."

"The initial setup is pretty straightforward."

"MS SQL & SQL Server Analysis Services."

More Microsoft Power BI pros

"It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten."

"Plotly Dash Enterprise helps us achieve a much more interactive and vivid form of visualization for our organization, which helps us drive better results and analytics."

"When reviewing and interpreting data, I typically examine it in a tabular form to understand its structure. However, when explaining or presenting the findings to others, I often use visualization tools such as Plotly. These tools allow me to create visual representations of datasets."

"The level of interactivity that the product provides is valuable to me."

Cons

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

"There is no specific area that I have a problem with. It's just that, with whatever feature you come across, every visual has its own formatting and behavior. What you get in one visual for a feature, you don't seem to get in another."

"The integration with third-party products could be more stable."

"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."

"It should have more report outputs. They should expand the report outputs. Its documentation should also be better."

"Microsoft BI lacks some of the scheme features. It would be beneficial if there were a way to show how we move values in a different way."

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

"Powerpoints are not available in the report server."

More Microsoft Power BI cons

"I believe that the prices of the tool's paid services could be on the premium side, so the pricing model can be considered for improvement."

"The solution cannot be deployed on the website and shared with others through its own platform."

"The tool needs to improve its pie charts. Regarding Plotly, I find the online documentation somewhat challenging to navigate, especially when dealing with many parameters. Searching through thousands of parameters can be a tedious and less straightforward process. While the documentation is available online and serves its purpose, I often encounter difficulties in finding the information."

"The main improvement I can think of is that while creating charts, it gives you a certain format of how it could look."

Pricing and Cost Advice

"I rate the product price an eight on a scale of one to ten, where one is low price and ten is high price."

"As far as I am aware you do not need a license for the solution."

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

"Microsoft BI is considered to be competitively priced when compared to other similar solutions in the market."

"The pricing is good. It's pretty competitive because I have worked on a few other tools as well, and Power BI is on the cheaper side."

"We pay for users who are publishing on the cloud. The desktop version is free. Its licensing is on a yearly basis."

"Remove the cost of a licence to show a dashboard within SharePoint. Why should readers of a dashboard have to pay to view? "

"Power BI comes with enterprise Microsoft licensing. So for the user, you don't have to pay, but you do have to pay a one-time cost."

More Microsoft Power BI pricing and cost advice

"I only use the free tier of the product."

"It is an open-source tool. My company hasn't explored Plotly's premium services yet, but I believe the prices could be on the premium side."

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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

12%

Manufacturing Company

Government

Computer Software Company

Financial Services Firm

12%

Computer Software Company

12%

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	135
Midsize Enterprise	58
Large Enterprise	166

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...

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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 ...

See all answers

What needs improvement with Plotly?

See all answers

What is your primary use case for Plotly?

We use Plotly Dash Enterprise mainly for creating dashboards using Python. With Plotly's support of Python, it helps us to develop interactive dashboards according to the customer use case and the ...

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What advice do you have for others considering Plotly?

It's a great tool to incorporate in your organization to develop dashboards that help your analytics team derive better decisions and generate more business profits. It gives you much more control ...

See all answers

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Compared 17% of the time

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Compared 14% of the time

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Compared 8% of the time

Databricks vs Microsoft Power BI

Compared 2% of the time

SAP BusinessObjects Business Intelligence Platform vs Microsoft Power BI

Compared 2% of the time

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Compared 24% of the time

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Compared 13% of the time

Power BI Embedded Analytics vs Plotly Dash Enterprise

Compared 12% of the time

Looker Studio vs Plotly Dash Enterprise

Compared 11% of the time

TIBCO Spotfire vs Plotly Dash Enterprise

Compared 8% of the time

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Product Reports

Buyer's Guide

Microsoft Power BI

March 2026

Download Microsoft Power BI product report

Buyer's Guide

Plotly Dash Enterprise

March 2026

Download Plotly Dash Enterprise product report

Also Known As

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

No data available

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

Plotly Dash Enterprise is a commercial platform designed for creating and deploying data visualization applications. It provides advanced tools and infrastructure to simplify the process of building interactive dashboards and analytics applications.

Plotly Dash Enterprise enables professionals to harness the power of Dash framework for enterprise-level scalability and deployment. By integrating seamlessly with existing workflows, it supports easy collaboration while ensuring robust data security. Users appreciate its ability to streamline the development of sophisticated visualizations that can be customized to meet specific analytical needs.

What are the standout features?

Customization Options: Offers extensive customization for tailored data visualizations.
Seamless Deployment: Facilitates rapid deployment of dashboards to servers or cloud environments.
Performance Optimization: Provides tools to optimize performance for handling large datasets.
Collaboration Tools: Enhances team collaboration with integrated sharing features.

What ROI factors should be considered?

Increased Productivity: Reduces development time with reusable components and templates.
Scalability: Supports scaling applications as data needs grow.
Cost Efficiency: Minimizes infrastructure costs through efficient resource management.

Plotly Dash Enterprise is employed in finance for real-time analytics dashboards, in healthcare for patient data visualization, and in marketing for customer insights. Its adaptability and ease of integration make it suitable across diverse industry applications where visual data analysis is critical.

Plotly

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

Google, Goji, VIT, Smpl Bio, U.S. Air Force, C12 Energy, New York University

Buyer's Guide

Microsoft Power BI vs. Plotly Dash Enterprise

March 2026

Free Report: Microsoft Power BI vs. Plotly Dash Enterprise

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