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Anaconda vs Cloudera Data Science Workbench comparison

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Anaconda Logo
5,882 views|4,750 comparisons
Cloudera Logo
3,661 views|3,027 comparisons
Executive Summary

We performed a comparison between Anaconda and Cloudera Data Science Workbench based on real PeerSpot user reviews.

Find out in this report how the two Data Science Platforms solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed Anaconda vs. Cloudera Data Science Workbench report (Updated: September 2022).
635,987 professionals have used our research since 2012.
Questions from the Community
Top Answer:With Anaconda Navigator, we have been able to use multiple IDEs such as JupyterLab, Jupyter Notebook, Spyder, Visual Studio Code, and RStudio in one place. The platform-agnostic package manager… more »
Top Answer:The solution's support is important and needs to be better. I don't have the last update due to the fact that when I tried to update it I had an error and ran into issues. It's not just me; lots of… more »
Top Answer:In Anaconda, we get everything: RStudio, Spyder, and Jupyter. R Studio is for R, and Spyder and Jupyter are for Python. Using these, we will be doing data wrangling and data modeling for a developing… more »
Top Answer:The Cloudera Data Science Workbench is customizable and easy to use.
Top Answer:Running this solution requires a minimum of 12GB to 16GB of RAM. In the future, I would like to see a student version of the Data Science Workbench that includes sample datasets that can be used for… more »
Top Answer:I am a professor and this is one of the solutions that I use as a teaching tool for my students. The most recent version can be used by the students while they are working in the labs because our… more »
Ranking
10th
Views
5,882
Comparisons
4,750
Reviews
1
Average Words per Review
151
Rating
9.0
16th
Views
3,661
Comparisons
3,027
Reviews
0
Average Words per Review
0
Rating
N/A
Buyer's Guide
Data Science Platforms
September 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: September 2022.
635,987 professionals have used our research since 2012.
Comparisons
Also Known As
CDSW
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Overview

Anaconda makes it easy for you to install and maintain Python environments. Our development team tests to ensure compatibility of Python packages in Anaconda. We support and provide open source assurance for packages in Anaconda to mitigate your risk in using open source and meet your regulatory compliance requirements.

Python is the fastest growing language for data science. Anaconda includes 720+ Python open source packages and now includes essential R packages. This powerful combination allows you to do everything you want from BI to advanced modeling on complex Big Data

Cloudera Data Science Workbench (CDSW) makes secure, collaborative data science at scale a reality for the enterprise and accelerates the delivery of new data products. With CDSW, organizations can research and experiment faster, deploy models easily and with confidence, as well as rely on the wider Cloudera platform to reduce the risks and costs of data science projects. Access any data anywhere – from cloud object storage to data warehouses, CDSW provides connectivity not only to CDH but the systems your data science teams rely on for analysis.

Offer
Learn more about Anaconda
Learn more about Cloudera Data Science Workbench
Sample Customers
LinkedIn, NASA, Boeing, JP Morgan, Recursion Pharmaceuticals, DARPA, Microsoft, Amazon, HP, Cisco, Thomson Reuters, IBM, Bridgestone
IQVIA, Rush University Medical Center, Western Union
Top Industries
REVIEWERS
Financial Services Firm20%
Manufacturing Company20%
Non Tech Company10%
Pharma/Biotech Company10%
VISITORS READING REVIEWS
Computer Software Company18%
Financial Services Firm15%
Comms Service Provider13%
Government8%
VISITORS READING REVIEWS
Financial Services Firm24%
Computer Software Company18%
Comms Service Provider10%
Healthcare Company6%
Company Size
REVIEWERS
Small Business44%
Large Enterprise56%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise12%
Large Enterprise71%
VISITORS READING REVIEWS
Small Business9%
Midsize Enterprise14%
Large Enterprise76%
Buyer's Guide
Data Science Platforms
September 2022
Find out what your peers are saying about Databricks, Alteryx, Microsoft and others in Data Science Platforms. Updated: September 2022.
635,987 professionals have used our research since 2012.

Anaconda is ranked 10th in Data Science Platforms with 1 review while Cloudera Data Science Workbench is ranked 16th in Data Science Platforms. Anaconda is rated 9.0, while Cloudera Data Science Workbench is rated 0.0. The top reviewer of Anaconda writes "Supported by multiple IDEs, easy to install and manage packages". On the other hand, Anaconda is most compared with Amazon SageMaker, Microsoft Azure Machine Learning Studio, Databricks, SAP Analytics Cloud and Microsoft BI, whereas Cloudera Data Science Workbench is most compared with Databricks, Microsoft Azure Machine Learning Studio, Amazon SageMaker, Dataiku Data Science Studio and Alteryx.

See our list of best Data Science Platforms vendors.

We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.