Cloudera Data Science Workbench vs. Plotly Dash

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Data Science Workbench
Score 6.7 out of 10
N/A
Cloudera Data Science Workbench enables secure self-service data science for the enterprise. It is a collaborative environment where developers can work with a variety of libraries and frameworks.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
Cloudera Data Science WorkbenchPlotly Dash
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Data Science WorkbenchPlotly 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
Cloudera Data Science WorkbenchPlotly Dash
Top Pros
Top Cons
Features
Cloudera Data Science WorkbenchPlotly Dash
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
2 Ratings
12% below category average
Plotly Dash
8.9
3 Ratings
5% above category average
Connect to Multiple Data Sources7.02 Ratings8.43 Ratings
Extend Existing Data Sources8.02 Ratings9.33 Ratings
Automatic Data Format Detection7.02 Ratings8.43 Ratings
MDM Integration8.02 Ratings9.52 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
10% below category average
Plotly Dash
9.0
4 Ratings
7% above category average
Visualization7.12 Ratings9.04 Ratings
Interactive Data Analysis8.02 Ratings9.04 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Cloudera Data Science Workbench
7.8
2 Ratings
5% below category average
Plotly Dash
6.2
2 Ratings
28% below category average
Interactive Data Cleaning and Enrichment7.02 Ratings4.42 Ratings
Data Transformations8.02 Ratings8.52 Ratings
Data Encryption8.02 Ratings3.92 Ratings
Built-in Processors8.02 Ratings8.02 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Cloudera Data Science Workbench
7.6
2 Ratings
11% below category average
Plotly Dash
8.4
2 Ratings
1% below category average
Multiple Model Development Languages and Tools8.02 Ratings9.02 Ratings
Automated Machine Learning7.01 Ratings7.01 Ratings
Single platform for multiple model development7.12 Ratings9.02 Ratings
Self-Service Model Delivery8.12 Ratings8.52 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Cloudera Data Science Workbench
8.0
2 Ratings
7% below category average
Plotly Dash
9.7
2 Ratings
12% above category average
Flexible Model Publishing Options8.12 Ratings9.52 Ratings
Security, Governance, and Cost Controls7.82 Ratings10.02 Ratings
Best Alternatives
Cloudera Data Science WorkbenchPlotly Dash
Small Businesses
IBM SPSS Modeler
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Score 7.8 out of 10
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Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.3 out of 10
Mathematica
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Score 8.3 out of 10
Enterprises
IBM SPSS Modeler
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Score 7.8 out of 10
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Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Cloudera Data Science WorkbenchPlotly Dash
Likelihood to Recommend
9.0
(3 ratings)
8.0
(4 ratings)
Support Rating
7.9
(2 ratings)
-
(0 ratings)
User Testimonials
Cloudera Data Science WorkbenchPlotly Dash
Likelihood to Recommend
Cloudera
Organizations which already implemented on-premise Hadoop based Cloudera Data Platform (CDH) for their Big Data warehouse architecture will definitely get more value from seamless integration of Cloudera Data Science Workbench (CDSW) with their existing CDH Platform. However, for organizations with hybrid (cloud and on-premise) data platform without prior implementation of CDH, implementing CDSW can be a challenge technically and financially.
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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
Cloudera
  • One single IDE (browser based application) that makes Scala, R, Python integrated under one tool
  • For larger organizations/teams, it lets you be self reliant
  • As it sits on your cluster, it has very easy access of all the data on the HDFS
  • Linking with Github is a very good way to keep the code versions intact
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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
Cloudera
  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
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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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Support Rating
Cloudera
Cloudera Data Science Workbench has excellence online resources support such as documentation and examples. On top of that the enterprise license also comes with SLA on opening a ticket to Cloudera Services and support for complaint handling and troubleshooting by email or through a phone call. On top of that it also offers additional paid training services.
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Plotly
No answers on this topic
Alternatives Considered
Cloudera
Both the tools have similar features and have made it pretty easy to install/deploy/use. Depending on your existing platform (Cloudera vs. Azure) you need to pick the Workbench. Another observation is that Cloudera has better support where you can get feedback on your questions pretty fast (unlike MS). As its a new product, I expect MS to be more efficient in handling customers questions.
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Plotly
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Return on Investment
Cloudera
  • Paid off for demonstration purposes.
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Plotly
  • A no-cost option as it is open sourced.
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