Cloudera Data Science Workbench vs. DataScience.com (discontinued)

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
DataScience.com (discontinued)
Score 10.0 out of 10
N/A
DataScience.com was a data science collaboration platform with features that cater to data science, business, and IT teams. It was acquired by Oracle in 2018 and is no longer available.N/A
Pricing
Cloudera Data Science WorkbenchDataScience.com (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Data Science WorkbenchDataScience.com (discontinued)
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 WorkbenchDataScience.com (discontinued)
Features
Cloudera Data Science WorkbenchDataScience.com (discontinued)
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Cloudera Data Science Workbench
7.5
Ratings
11% below category average
DataScience.com (discontinued)
-
Ratings
Connect to Multiple Data Sources7.00 Ratings00 Ratings
Extend Existing Data Sources8.00 Ratings00 Ratings
Automatic Data Format Detection7.00 Ratings00 Ratings
MDM Integration8.00 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Cloudera Data Science Workbench
7.6
Ratings
10% below category average
DataScience.com (discontinued)
-
Ratings
Visualization7.10 Ratings00 Ratings
Interactive Data Analysis8.00 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Cloudera Data Science Workbench
7.8
Ratings
4% below category average
DataScience.com (discontinued)
-
Ratings
Interactive Data Cleaning and Enrichment7.00 Ratings00 Ratings
Data Transformations8.00 Ratings00 Ratings
Data Encryption8.00 Ratings00 Ratings
Built-in Processors8.00 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Cloudera Data Science Workbench
7.6
Ratings
10% below category average
DataScience.com (discontinued)
-
Ratings
Multiple Model Development Languages and Tools8.00 Ratings00 Ratings
Automated Machine Learning7.00 Ratings00 Ratings
Single platform for multiple model development7.10 Ratings00 Ratings
Self-Service Model Delivery8.10 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Cloudera Data Science Workbench
8.0
Ratings
6% below category average
DataScience.com (discontinued)
-
Ratings
Flexible Model Publishing Options8.10 Ratings00 Ratings
Security, Governance, and Cost Controls7.80 Ratings00 Ratings
Best Alternatives
Cloudera Data Science WorkbenchDataScience.com (discontinued)
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Jupyter Notebook
Jupyter Notebook
Score 9.4 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
Cloudera Data Science WorkbenchDataScience.com (discontinued)
Likelihood to Recommend
9.0
(0 ratings)
-
(0 ratings)
Support Rating
7.9
(0 ratings)
-
(0 ratings)
User Testimonials
Cloudera Data Science WorkbenchDataScience.com (discontinued)
Likelihood to Recommend
  • If you already have a Cloudera partnership and a cluster, having this is a no brainer.
  • It integrates well with your existing ecosystem and it immediately starts working on projects, accessing full datasets and share analysis and results.
  • With the inclusion of Kubernetes, CPU and memory across worker nodes can be managed effectively.
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No answers on this topic
Pros
  • Enterprise grade security.
  • Self-service analytics platform.
  • Popular programming support.
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No answers on this topic
Cons
  • Not as great as RStudio; lacks some features when compared with it
  • It is quite simple still (because its very early in its initiative), and companies may want to wait until they see a more developed product
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Support Rating
It is expensive and difficult to install and maintain.
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Alternatives Considered
Since our organization had already implemented Cloudera Data Platform as our Big Data Warehouse platform, implementing CDSW as the go-to Analytic and Data Science Platform is the most logical and cost-effective decision to make. It integrates seamlessly with our CDH clusters and it also provides enterprise-grade security for on-premise implementation.
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No answers on this topic
Return on Investment
  • Paid off for demonstration purposes.
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No answers on this topic
ScreenShots