No more typing reviews! Try our Samantha, our new voice AI agent.

Microsoft Power BI vs Plotly Dash Enterprise comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Feb 8, 2026

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

ROI

Sentiment score
6.5
Microsoft Power BI delivers high ROI with cost-effective deployment, enhancing reporting, analytics, and decision-making for businesses.
Sentiment score
5.5
Plotly Dash Enterprise boosts productivity by significantly reducing development time, improving efficiency, and streamlining communication for organizations.
In a world surrounded by data, tools that allow navigation of large data volumes ensure decisions are data-driven.
Corporate HR Financial Controller at STMicroelectronics Holding
Because of integration with Microsoft Power BI, its interactive dashboards, and how easily it integrates with other SQL data sources, business decisions from business users have become much faster.
Data engineer at a tech vendor with 10,001+ employees
Power BI is easy to deploy within an hour, providing robust security against data leaks.
Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd
Ad-hoc analyses that used to take days have been reduced significantly, with one case where the team saved seven to ten days per month.
Azure Data Engineer at a tech services company with 11-50 employees
My team moved from a six-month dev cycle to two weeks.
Data Scientist at a university with 11-50 employees
I would estimate that it reduced analysis turnaround time by over fifty percent for exploratory questions.
Software Engineer at a university with 10,001+ employees
 

Customer Service

Sentiment score
6.6
Microsoft Power BI support is positive, with responsive customer service, though technical support response times and expertise vary.
Sentiment score
6.0
Plotly Dash Enterprise offers effective support through community resources and responsive technical assistance, enhancing user experience and performance.
The significant drawback I notice is that Microsoft's size makes it hard to get specific change requests addressed unless they involve a bug.
Corporate HR Financial Controller at STMicroelectronics Holding
We have a partnership with Microsoft, involving multiple weekly calls with dedicated personnel to ensure our satisfaction.
Executive Director, Decision Support at Community Health Network
The support is good because there is also a community available.
Business Development Director at a tech consulting company with 201-500 employees
They assist with installation, deployment, performance tuning, scalable architecture, and troubleshooting, which are valuable for initial setups and production-ready configurations.
Azure Data Engineer at a tech services company with 11-50 employees
Unlike many software companies where the first line of support is non-technical, Plotly splits it into two expert groups: Install Infra group and Solution group.
Data Scientist at a university with 11-50 employees
I have noticed specific outcomes from using Plotly Dash Enterprise.
Product Engineer at a program development consultancy with 1-10 employees
 

Scalability Issues

Sentiment score
6.9
Microsoft Power BI effectively scales for most users, though large datasets and high-capacity licenses pose challenges and costs.
Sentiment score
5.5
Plotly Dash Enterprise efficiently scales by leveraging Python, enabling horizontal scaling and infrastructure adaptability, despite some comparability challenges.
You expect only a small percentage of users concurrently, but beyond a thousand concurrent users, it becomes difficult to manage.
Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd
With increasing AI capabilities, architectural developments within Microsoft, and tools like Fabric, I expect Power BI to scale accordingly.
Executive Director, Decision Support at Community Health Network
As more data is processed, performance issues may arise.
Product Owner at ABN AMRO Bank N.V.
We can scale by adding more instances to handle multiple users efficiently, with the ability to support hundreds to thousands of users with proper backend performance control.
Azure Data Engineer at a tech services company with 11-50 employees
For infrastructure scalability, we are thinking about Docker or Kubernetes while also utilizing Redis for a shared state, making auto-scaling based on CPU or RAM usage available.
Software Developer at a tech vendor with 10,001+ employees
Plotly Dash Enterprise provides a strong foundation for scalability, but the real performance comes from combining the platform with a good design system.
Software Engineer at a university with 10,001+ employees
 

Stability Issues

Sentiment score
7.4
Users find Microsoft Power BI stable and reliable but face performance issues with large datasets and real-time data limitations.
Sentiment score
7.9
Plotly Dash Enterprise is stable for academic projects but may lack features and be less steady than Tableau or Power BI.
In terms of stability, there's no data loss or leakage, and precautions are well-managed by Microsoft.
Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd
We typically do not have problems with end-user tools like Excel and Power BI.
Executive Director, Decision Support at Community Health Network
It is very stable for small data, but with big data, there are performance challenges.
Business Development Director at a tech consulting company with 201-500 employees
Plotly Dash Enterprise is stable in my experience, being reliable for implementation and deployment to production.
Software Developer at a tech services company with 11-50 employees
Plotly Dash Enterprise is quite stable in my experience.
Undergraduate Student at a computer software company with 11-50 employees
Plotly Dash Enterprise is considered stable and reliable overall.
Data analyst at a non-profit with 51-200 employees
 

Room For Improvement

Microsoft Power BI needs performance improvements, better mobile accessibility, non-Microsoft database support, and simplified interface for non-technical users.
Plotly Dash Enterprise needs speed, modularity, customization, better documentation, UI modernization, WebSocket integration, optimized tools, and affordable pricing.
This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today.
Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd
Access was more logical in how it distinguished between data and its formatting.
Corporate HR Financial Controller at STMicroelectronics Holding
Microsoft updates Power BI monthly based on user community feedback.
Executive Director, Decision Support at Community Health Network
A more guided user interface and low-code features would help with onboarding for beginners and non-technical users, making the platform more accessible.
Azure Data Engineer at a tech services company with 11-50 employees
There should be a focus on mobile responsiveness and shifting from standard CSS to Dash Mantine Components and Dash Bootstrap while utilizing grid systems for large data bottlenecks.
Software Developer at a tech vendor with 10,001+ employees
I wish for features such as auto detection of data and auto analysis to be included.
Student at a university with 51-200 employees
 

Setup Cost

Microsoft Power BI offers competitive pricing, with discounts available and appreciated features, despite higher Premium costs.
Plotly Dash Enterprise is cost-effective, though its pricing complexity, ranging from $100K annually, poses challenges for enterprise evaluation.
I found the setup cost to be expensive
Responsable du département Projets et Applications at CHD Vendée
Power BI isn't very cheap, however, it is economical compared to other solutions available.
Senior Manager, Strategy & Consulting at Viacom18 Media Pvt Ltd
The pricing for Microsoft Power BI is low, which is a good selling point.
Business Development Director at a tech consulting company with 201-500 employees
The cost can be significant, such as tens of thousands per year, but it includes features such as security, deployment, and support, which justifies it for a larger team.
Data analyst at a non-profit with 51-200 employees
The enterprise price can reach around one hundred thousand dollars per year, varying according to organizational size.
Azure Data Engineer at a tech services company with 11-50 employees
The setup cost was nothing and is fine.
Product Engineer at a program development consultancy with 1-10 employees
 

Valuable Features

Microsoft Power BI offers user-friendly interfaces, powerful data visualization, and seamless integration for efficient data analytics solutions.
Plotly Dash Enterprise enables efficient data workflows, secure dashboards, and rapid prototyping, enhancing decision-making and collaboration while reducing costs.
In today's data-driven environment, these tools are of substantial value, particularly for large enterprises with numerous processes that require extensive data analysis.
Corporate HR Financial Controller at STMicroelectronics Holding
Within the organization, Microsoft Power BI is used to create dashboards and gain insights into data, enhancing data-driven decision-making.
Product Owner at ABN AMRO Bank N.V.
To reduce the need for highly skilled personnel, we can engage someone who is just familiar and has a basic understanding of Microsoft Power BI, while AI can handle the major tasks through either agent AI or requirement analysis.
Senior Technical Service Engineer Expert at Fujitsu
The control access feature helps my team by using authentication code, so we can ensure only the people who should have access can view the dashboard.
Sr Data Analyst at a retailer with 10,001+ employees
The centralized data platform holds dashboards and supports version control and app management, along with interactive capabilities such as KPIs and data pipelines connecting databases, ETL systems, and ML models, fitting well into modern data stacks.
Azure Data Engineer at a tech services company with 11-50 employees
I did notice specific outcomes, such as making more accurate decisions and improving data-driven decision making using Plotly.
Student at a university with 51-200 employees
 

Categories and Ranking

Microsoft Power BI
Ranking in Reporting
1st
Average Rating
8.0
Reviews Sentiment
6.6
Number of Reviews
331
Ranking in other categories
BI (Business Intelligence) Tools (1st)
Plotly Dash Enterprise
Ranking in Reporting
4th
Average Rating
8.2
Reviews Sentiment
5.7
Number of Reviews
20
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2026, in the Reporting category, the mindshare of Microsoft Power BI is 14.1%, down from 26.7% compared to the previous year. The mindshare of Plotly Dash Enterprise is 1.6%, up from 1.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Reporting Mindshare Distribution
ProductMindshare (%)
Microsoft Power BI14.1%
Plotly Dash Enterprise1.6%
Other84.3%
Reporting
 

Featured Reviews

Hemanthreddy Vakiti - PeerSpot reviewer
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.
reviewer2835996 - PeerSpot reviewer
Data analyst at a non-profit with 51-200 employees
Interactive dashboards have transformed reporting and now speed up team decision making
One area where Plotly Dash Enterprise can be improved is the learning curve for beginners. It can take time to understand the callbacks and app structures. Debugging can sometimes be tricky, especially for complex apps. Improving documentation and providing more built-in templates or examples would make it easier for new users to get started. Another improvement could be around performance optimization in Plotly. For example, with a large dataset, a dashboard can sometimes become slow. Better built-in support for handling big data efficiently would help. Additionally, smoother integration with other data tools and cloud services would make it easier to fit into different tech stacks.
report
Use our free recommendation engine to learn which Reporting solutions are best for your needs.
894,668 professionals have used our research since 2012.
 

Comparison Review

it_user79932 - PeerSpot reviewer
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…
 

Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
8%
Government
8%
Computer Software Company
6%
University
17%
Computer Software Company
10%
Outsourcing Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business136
Midsize Enterprise59
Large Enterprise171
By reviewers
Company SizeCount
Small Business15
Midsize Enterprise2
Large Enterprise10
 

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...
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...
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 ...
What is your experience regarding pricing and costs for Plotly?
The pricing for Plotly Dash Enterprise is based on custom and variable factors, with no fixed public prices. It depends on the number of users, deployment type, support level, and scale. The enterp...
What needs improvement with Plotly?
There are definitely a few areas where Plotly Dash Enterprise could improve to become even more effective. Currently, most dashboards need to be built from scratch, so having more ready-made templa...
What is your primary use case for Plotly?
My main use case for Plotly Dash Enterprise is building and deploying interactive, production-ready applications for business users. I primarily use it to convert complex data analyses into user-fr...
 

Also Known As

SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
No data available
 

Overview

 

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
Find out what your peers are saying about Microsoft Power BI vs. Plotly Dash Enterprise and other solutions. Updated: April 2026.
894,668 professionals have used our research since 2012.