Azure Machine Learning vs. Plotly Dash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Machine Learning
Score 7.9 out of 10
N/A
Microsoft's Azure Machine Learning is and end-to-end data science and analytics solution that helps professional data scientists to prepare data, develop experiments, and deploy models in the cloud. It replaces the Azure Machine Learning Workbench.
$0
per month
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
Azure Machine LearningPlotly Dash
Editions & Modules
Studio Pricing - Free
$0.00
per month
Production Web API - Dev/Test
$0.00
per month
Studio Pricing - Standard
$9.99
per ML studio workspace/per month
Production Web API - Standard S1
$100.13
per month
Production Web API - Standard S2
$1000.06
per month
Production Web API - Standard S3
$9999.98
per month
No answers on this topic
Offerings
Pricing Offerings
Azure Machine LearningPlotly 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
Azure Machine LearningPlotly Dash
Top Pros
Top Cons
Features
Azure Machine LearningPlotly Dash
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Machine Learning
-
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
Azure Machine Learning
-
Ratings
Plotly Dash
9.0
4 Ratings
7% 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
Azure Machine Learning
-
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
Azure Machine Learning
-
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
Azure Machine Learning
-
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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Azure Machine LearningPlotly Dash
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User Ratings
Azure Machine LearningPlotly Dash
Likelihood to Recommend
8.0
(4 ratings)
8.0
(4 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
Usability
7.0
(2 ratings)
-
(0 ratings)
Support Rating
7.9
(2 ratings)
-
(0 ratings)
Implementation Rating
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure Machine LearningPlotly Dash
Likelihood to Recommend
Microsoft
For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.
Read full review
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.
Read full review
Pros
Microsoft
  • User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
  • Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
  • Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
  • Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
  • Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
Read full review
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.
Read full review
Cons
Microsoft
  • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
  • Scenario-based documentation
  • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
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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
Read full review
Usability
Microsoft
Easy and fastest way to develop, test, deploy and monitor the machine learning model.
- Easy to load the data set
-Drag and drop the process of the Machine learning life cycle.
Read full review
Plotly
No answers on this topic
Support Rating
Microsoft
Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
Read full review
Plotly
No answers on this topic
Implementation Rating
Microsoft
Not sure
Read full review
Plotly
No answers on this topic
Alternatives Considered
Microsoft
It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
Read full review
Plotly
Read full review
Return on Investment
Microsoft
  • Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
  • Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
  • Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
Read full review
Plotly
  • A no-cost option as it is open sourced.
Read full review
ScreenShots