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 8.0, while Plotly is ranked #18 with an average rating of 7.5. Microsoft holds a 17.3% mindshare in RT, compared to Plotly’s 1.9% 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 327 Microsoft Power BI reviews

23,151 Views
9,260 Comparison Views

93% willing to recommend

Plotly Dash Enterprise

Read 3 Plotly Dash Enterprise reviews

808 Views
727 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: February 2026).

Buyer's Guide

Microsoft Power BI vs. Plotly Dash Enterprise

February 2026

Download the complete report

Helped 881,733 peers since 2012

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

7.0

Number of Reviews

327

Ranking in other categories

BI (Business Intelligence) Tools (1st)

Plotly Dash Enterprise

Ranking in Reporting

18th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Reporting category, the mindshare of Microsoft Power BI is 17.3%, down from 26.9% compared to the previous year. The mindshare of Plotly Dash Enterprise is 1.9%, up from 1.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Reporting Market Share Distribution
Product	Market Share (%)
Microsoft Power BI	17.3%
Plotly Dash Enterprise	1.9%
Other	80.8%

Reporting

Featured Reviews

Livia Vasilescu

HR Manager at PPB

Use advanced data preparation features in analytics projects

Microsoft Power BI can be quite slow when working with data sources that aren't from a data warehouse or a more robust source or data artifact. When working with exports, which we do frequently, the load takes considerable time. This occurs with any BI tool, and it's related to our working methods due to limitations within the area. In HR, we typically use exports because we have numerous data sources. Ideally, Microsoft Power BI would have a no-code or low-code solution for the data sources to be built by the actual developers or development team. This would eliminate the need to work directly with exports. We would have a middle ground to create a warehouse without all the infrastructure, as building a warehouse within an organization can require substantial resources, both in time and personnel.

Read full review

VenkateshJuloori

Founder & CEO at Ira

A flexible tool that offers an open-source version

It is a scalable solution. Scalability-wise, I rate the solution a nine to ten out of ten. In my company, there are around five resources that use the product. My company's clients use the product a lot on a daily basis. I use the product twice a week in my company before I get any call from our clients.

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

"I find Power BI's reporting feature the most valuable. The solution has improved a lot. There are new features getting added day by day. In the past, they didn't even have the printing feature, but now they have it."

"Helped identify bad data, enabling the corrections needed to the data for management."

"The product can go easily go and extract data and it can put it into any format."

"Microsoft BI's most valuable feature is flexibility."

"We have plans to use the AI mechanisms and algorithms that Power BI uses to publish more easy-to-understand reports for our customers."

"The one feature most of our customers like is data visualization. When we were doing BI directly from SQL, most users found it challenging to create their own reports. Power BI has self-serve analytics that the end-users can do themselves. On most projects, people are primarily using data visualization and self-serve analytics."

"Being able to transfer data with the Power Query feature is great for teaching with about one to two hundred rows of data. I am also able to see the relationship between multiple tables and create various sheets and dashboards."

"The most valuable feature of the solution is that it is an easy-to-use tool."

More Microsoft Power BI pros

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

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

"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."

Cons

"The Power Query feature needs to be improved to handle large amounts of data. This feature is also slow for large data transfers making it better to use some kind of script."

"The solution could improve by providing more free visuals. A lot of them are very nice but you have to purchase them."

"We have used other solutions and the reporting functionality should be user-friendly and have a drag and drop feature should be available, but Microsoft BI doesn't have these features. When you are creating reports and you can't change as a user. Every time you need one developer or one technical person to make the changes."

"I have found using Microsoft BI is not easy. For example, trying to use the auto-refresh feature is not simple."

"The solution could be quicker at rendering data."

"It is kept very current, and there is an update literally every month. However, the interface changes quite randomly with no documentation, which is difficult at the domain and architectural level where you're planning things and engaging the business. Things change frequently, and you wonder where has the button for the new report gone. They should provide better documentation on interface changes. It should be better optimized. It is supposed to be a data integration tool, but it is doing relatively simple queries. It has its limitations. For example, you can only pull a number of columns. So, there is room for optimization on its ability to integrate multiple data sources. The desktop tool is very memory-intensive, and again, this is not documented clearly. It requires a heavy CPU and memory use, and it causes your operating systems to become unstable. I would like to see the ability to create datasets within Power BI. Microsoft is promoting Azure as a cloud solution, but it is dependent upon a desktop component, which seems a little bit deceptive. Data set is the basic element that you report from, but it has to be created on the desktop and then published to the cloud. So, you're in the cloud, and you create a data structure or the data flow, but you can't report from that. You have to leave the cloud, go to your desktop, create the data set on your desktop, and publish it to the cloud. You go back to the cloud and create your report by using that published data set, which is very non-intuitive. If you go to the Microsoft Power BI community, this is a common complaint across the entire community."

"Microsoft BI's visualization could be better. Though Power BI's visualization has steadily improved over the years, it's not on the level tools like Tableau and SAS or some of the more expensive products on the market."

"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."

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."

Pricing and Cost Advice

"There is a license for this solution and we purchase them annually."

"We view it as an expensive product."

"Microsoft BI is not expensive."

"Our license is paid yearly and we have found that we have to be careful not to over-extend our usage in order to avoid upgrading our capacity plan."

"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."

"Microsoft Power BI has reasonable pricing."

"The premium capacity is very costly in respect of the market in Egypt, amounting to $5,000 monthly."

"The costs are small and the benefits are high."

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%

Government

Manufacturing Company

Computer Software Company

Financial Services Firm

12%

Comms Service Provider

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	135
Midsize Enterprise	57
Large Enterprise	165

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...

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

What do you like most about Plotly?

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

See all answers

What is your experience regarding pricing and costs for Plotly?

It is an open-source tool. My company hasn't explored Plotly's premium services yet, but I believe the prices are on the premium side. I rate the product price as five or six on a scale of one to t...

See all answers

What needs improvement with Plotly?

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

See all answers

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Domo vs Microsoft Power BI

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Databricks vs Microsoft Power BI

Compared 3% of the time

KNIME Business Hub vs Microsoft Power BI

Compared 2% of the time

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Compared 25% of the time

Power BI Embedded Analytics vs Plotly Dash Enterprise

Compared 11% of the time

Knowage vs Plotly Dash Enterprise

Compared 9% of the time

TIBCO Spotfire vs Plotly Dash Enterprise

Compared 9% of the time

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Product Reports

Buyer's Guide

Microsoft Power BI

January 2026

Download Microsoft Power BI product report

Buyer's Guide

Reporting

January 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

February 2026

Free Report: Microsoft Power BI vs. Plotly Dash Enterprise

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