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Azure Databricks vs. Plotly Dash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.5 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…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
Azure DatabricksPlotly Dash
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksPlotly 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 DatabricksPlotly Dash
Features
Azure DatabricksPlotly Dash
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
7.3
4 Ratings
13% below category average
Plotly Dash
8.9
3 Ratings
6% above category average
Connect to Multiple Data Sources6.14 Ratings8.43 Ratings
Extend Existing Data Sources7.84 Ratings9.33 Ratings
Automatic Data Format Detection7.44 Ratings8.43 Ratings
MDM Integration8.03 Ratings9.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.8
4 Ratings
22% below category average
Plotly Dash
9.0
4 Ratings
6% above category average
Visualization6.04 Ratings9.04 Ratings
Interactive Data Analysis7.63 Ratings9.04 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.6
4 Ratings
5% above category average
Plotly Dash
6.2
2 Ratings
27% below category average
Interactive Data Cleaning and Enrichment8.24 Ratings4.42 Ratings
Data Transformations9.04 Ratings8.52 Ratings
Data Encryption9.44 Ratings3.92 Ratings
Built-in Processors7.84 Ratings8.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.0
4 Ratings
5% below category average
Plotly Dash
8.4
2 Ratings
0% above category average
Multiple Model Development Languages and Tools6.54 Ratings9.02 Ratings
Automated Machine Learning8.64 Ratings7.01 Ratings
Single platform for multiple model development8.44 Ratings9.02 Ratings
Self-Service Model Delivery8.44 Ratings8.52 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.3
4 Ratings
3% below category average
Plotly Dash
9.7
2 Ratings
13% above category average
Flexible Model Publishing Options8.04 Ratings9.52 Ratings
Security, Governance, and Cost Controls8.64 Ratings10.02 Ratings
Best Alternatives
Azure DatabricksPlotly Dash
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure DatabricksPlotly Dash
Likelihood to Recommend
9.7
(3 ratings)
8.0
(4 ratings)
Usability
8.0
(1 ratings)
-
(0 ratings)
User Testimonials
Azure DatabricksPlotly Dash
Likelihood to Recommend
Microsoft
Centralised notebooks are out directly into production. This can lead to poorly engineered code. It is very good for fast queries and our data team are always able to provide what we ask for. It is a big cost to our business so it is important it runs efficiently and returns on our investment.
Verified User
Anonymous
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.
Verified User
Anonymous
Read full review
Pros
Microsoft
  • Data Processing and Transformations based on Spark
  • Delta Lakehouse when clubbed with an external cloud storage
  • Governance using Unity Catalog to unify IAM
  • Delta Live Tables is a product, which although relatively newer, has a great potential with the visuals of a pipeline.
Verified User
Anonymous
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.
Verified User
Anonymous
Read full review
Cons
Microsoft
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
Verified User
Anonymous
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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
Verified User
Anonymous
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Usability
Microsoft
The developers are able to switch between Python and SQL in the Notebook which allows the collaboration of SQL analyst and Data scientist. The integration of Mosaic AI allows users to write complex codes in natural languages. Unity catalog has centralized the security and governance features and simplified the process of maintaining it
Verified User
Anonymous
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Plotly
No answers on this topic
Alternatives Considered
Microsoft
I have found Azure Databricks to be much better than Snowflake for handling bigger, diverse data types. Snowflake is much simpler and better for smaller warehousing. The real time processing is much better in Azure Databricks and we have much more language options. Snowflake is more expensive but simpler to use. Both are great for different needs.
Verified User
Anonymous
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Plotly
Verified User
Anonymous
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Return on Investment
Microsoft
  • The support team is amazing, they help you at every stage of the projects, from sales to delivery.
  • On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
  • There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
Verified User
Anonymous
Read full review
Plotly
  • A no-cost option as it is open sourced.
Verified User
Anonymous
Read full review
ScreenShots