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 Nov 2, 2025

Microsoft Power BI and Plotly Dash Enterprise are competitors in the analytical tools category. Power BI has the upper hand in pricing and accessibility, which can be crucial for seamless business integration, while Plotly Dash Enterprise stands out in customization and advanced analytics aimed at developers.

Features: Microsoft Power BI facilitates integration with Microsoft's ecosystem, providing user-friendly data visualization, natural language queries, and robust reporting tools. Plotly Dash Enterprise emphasizes highly customized interactive data apps, offering precise control over visualizations using Python, which is ideal for developers seeking flexibility.

Ease of Deployment and Customer Service: Microsoft Power BI is notable for its intuitive cloud-based deployment, coupled with comprehensive support and community resources. Plotly Dash Enterprise leverages Docker containers for deployment, suitable for organizations with experienced development teams ready for customization, although initial setup may require more effort. Power BI's seamless integration offers a lower barrier to entry, while Dash targets developers seeking diverse capabilities.

Pricing and ROI: Microsoft Power BI features a tiered pricing strategy, ensuring cost-effectiveness across different business sizes and often delivering higher ROI for standard reporting. In contrast, Plotly Dash Enterprise's pricing can be more significant, backed by its extensive customization features and potential for long-term insights. Power BI's scalable model allows for rapid deployment, while Dash Enterprise provides ROI through custom analysis solutions.

To learn more, read our detailed Microsoft Power BI vs. Plotly Dash Enterprise Report (Updated: December 2025).

Buyer's Guide

Microsoft Power BI vs. Plotly Dash Enterprise

December 2025

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Helped 881,707 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.

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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.

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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 most valuable feature is integration with Python."

"The product's most valuable features are DAX functions for formulas and calculations."

"We can see that it's really improved the way end users can do their own graphs and pick their own fields of information and present that in a nice way."

"We have found the product to be scalable."

"This is a self-service BI tool, so it doesn't require a huge amount of technical training, knowledge, or a background in BI in order to induct new people into it."

"This solution has improved our ability in making decisions and explaining data."

"Microsoft BI allows us to connect to any database or any dataset."

"Very intuitive and easy to use."

More Microsoft Power BI pros

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

"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

"One opportunity for improvement would be on the Power Query side. As a consultant, I know Power Query is not the main strength of Power BI. It is not where Power BI shines, but many customers use Power Query to do full ETL workloads for deliverable cookies."

"I feel the modeling page should be simplified."

"Microsoft BI comes under pressure when there is a lot of data to be crunched. It gets slower and slower, and the functionality becomes a bit of a problem. The performance goes down with data being fed into the system. The infrastructure requirement also increases if you have to increase the performance. This is the area that can be improved in my opinion. Initially, the product is good, but over the years, when data gets accumulated, it becomes a problem unless the old data is kind of archived and is no longer shown on the visualization. It has a feature by using which a user can query for a report through simple questions to a bot. So, if I want to look for the customer share of revenue by geography, I just simply state that in the chatbot. If I wanted it in a pie chart, then you say, "Please show it to me in a pie chart." It comes out well for basic charts. This feature should be improvised more so that people can very quickly get customized reports on the go."

"The solution could improve the extraction and transformation of data. For example, you transform the data and then send it to Microsoft BI without having to use your own API. We are only providing the API to Power BI, and then Power BI is doing the job."

"It should have more integrations."

"We would like to have better SQL support for queries."

"It would be nice to use other connectors to link with the data."

"It's quite difficult to learn how to use Power BI."

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

"Paid for itself in the first month."

"The pricing for the solution is relatively higher compared to other alternatives."

"Microsoft Power BI has reasonable pricing."

"It is part of our Office 365 license."

"It is free."

"Microsoft BI is not expensive. Compared to the price of other BI products, the price is very fair."

"The pricing is reasonable."

"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."

More Microsoft Power BI pricing and cost advice

"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."

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

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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

10%

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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Compared 16% of the time

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Compared 6% of the time

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Compared 3% of the time

KNIME Business Hub vs Microsoft Power BI

Compared 2% of the time

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Compared 24% of the time

Power BI Embedded Analytics vs Plotly Dash Enterprise

Compared 10% of the time

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Compared 10% of the time

TIBCO Spotfire vs Plotly Dash Enterprise

Compared 10% of the time

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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

December 2025

Free Report: Microsoft Power BI vs. Plotly Dash Enterprise

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