Microsoft Power BI Embedded vs. Plotly Dash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Microsoft Power BI Embedded
Score 7.6 out of 10
N/A
A solution from Microsoft to provide customer-facing reports, dashboards, and analytics in applications by using and branding Power BI as one's own. Designed to reduce developer resources by automating the monitoring, management, and deployment of analytics, while getting full control of Power BI features and intelligent analytics.N/A
Plotly Dash
Score 8.0 out of 10
N/A
Plotly headquartered in Montreal creates data visualization and UI tools for ML, data science, engineering, and the sciences with language support for Python, R, Julia, and JS. Plotly's Dash aims to empower teams to build data science and ML apps that put Python, R, and Julia in the hands of business users. The vendor states that full stack apps that would typically require a front-end, backend, and dev ops team can be built and deployed in hours by data scientists with Dash.N/A
Pricing
Microsoft Power BI EmbeddedPlotly Dash
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Microsoft Power BI EmbeddedPlotly Dash
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Microsoft Power BI EmbeddedPlotly Dash
Top Pros
Top Cons
Features
Microsoft Power BI EmbeddedPlotly Dash
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Microsoft Power BI Embedded
-
Ratings
Plotly Dash
8.9
3 Ratings
5% above category average
Connect to Multiple Data Sources00 Ratings8.43 Ratings
Extend Existing Data Sources00 Ratings9.33 Ratings
Automatic Data Format Detection00 Ratings8.43 Ratings
MDM Integration00 Ratings9.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Microsoft Power BI Embedded
-
Ratings
Plotly Dash
9.0
4 Ratings
6% above category average
Visualization00 Ratings9.04 Ratings
Interactive Data Analysis00 Ratings9.04 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Microsoft Power BI Embedded
-
Ratings
Plotly Dash
6.2
2 Ratings
28% below category average
Interactive Data Cleaning and Enrichment00 Ratings4.42 Ratings
Data Transformations00 Ratings8.52 Ratings
Data Encryption00 Ratings3.92 Ratings
Built-in Processors00 Ratings8.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Microsoft Power BI Embedded
-
Ratings
Plotly Dash
8.4
2 Ratings
1% below category average
Multiple Model Development Languages and Tools00 Ratings9.02 Ratings
Automated Machine Learning00 Ratings7.01 Ratings
Single platform for multiple model development00 Ratings9.02 Ratings
Self-Service Model Delivery00 Ratings8.52 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Microsoft Power BI Embedded
-
Ratings
Plotly Dash
9.7
2 Ratings
12% above category average
Flexible Model Publishing Options00 Ratings9.52 Ratings
Security, Governance, and Cost Controls00 Ratings10.02 Ratings
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User Ratings
Microsoft Power BI EmbeddedPlotly Dash
Likelihood to Recommend
8.7
(11 ratings)
8.0
(4 ratings)
User Testimonials
Microsoft Power BI EmbeddedPlotly Dash
Likelihood to Recommend
Microsoft
This product is very convenient to use and implement and is considered a "de facto" standard in the Business Intelligence sphere. First of all, it contains numerous features in terms of visualization, data provisioning, data source integration which makes it a perfect tool for the development of BI analytics. Secondly, it provides great capabilities for the development of data markets for the whole development team. Thirdly, the sharing capabilities of dashboards that are updated in a real-time manner provides great incentives for end-users
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Plotly
Applicable for data visualization across disciplines. I have used it for data from buildings, building occupancy, public health, and statistics. It is a useful tool to use for big data. It has nice templates and a number of interesting visualization types. If you are familiar with R and python it is easy to use.
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Pros
Microsoft
  • It is very easy to connect multiple data sources for a single report. You can use CSV, Excel, database integration, etc.
  • Power Bi supports Python as well, which makes it a lot easier for us as it is known by most of our team.
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Plotly
  • Powerful visualization options.
  • Ability to create in-browser interactive visualization apps.
  • Ability to create hosted apps.
  • Allows you to develop web-based reporting applications without requiring web application development expertise.
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Cons
Microsoft
  • Similar to how Excel has VBA, Microsoft Power BI uses PowerQuery (M/DAX). Though DAX is similar to Excel in terms of how it is written, I just think it's something that would be difficult for new users to figure out.
  • Something I would like to see done differently in Microsoft Power BI is the ability to have presets for sorting/arranging of visualizations. Though it is nice to arrange the dashboard freely, it would also be nice to have preset arrangements based on visualizations (for those of us bad at making dashboards look appealing).
  • With Microsoft Power BI, it is hard to show others your dashboard using the free platform (unless you show them from your computer/account). This can cause issues if your firm is trialing Microsoft Power BI before purchase.
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Plotly
  • Would be good if Dashboard Engine was included in the Enterprise VPC plan
  • Would love to see ready made fintech apps
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Alternatives Considered
Microsoft
I haven’t used any other software that can be compared to this and that is a good thing as this means that this software is the best one on the market. Tough other apps may exist we only use Microsoft Power BI because it is simply the best app out there.
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Plotly
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Return on Investment
Microsoft
  • Saved a significant amount of time for reporting current rollout status to project stakeholders
  • Project stakeholders were able to view the live dashboards at any time so felt they had a better understanding of the rollout status
  • Project stakeholders found it beneficial that they were able to set their own filters. For example, to view rollout status for their own departments.
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Plotly
  • A no-cost option as it is open sourced.
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