TrustRadius
Exciting tool from ClouderaUsed by the Data Science/Engineering Team as a collaboration tool.Combines all the efforts of various departments under a single IDE and provides a holistic view in the retail setting.Use of data to project sales numbers, marketing etc.,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,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,8,As the tool itself can access all the HDFS, Spark data easily, the wait time between teams has reduced Installation was a breeze, and ramp up time was fairly easy,Microsoft Azure Machine Learning Workbench,Hadoop, HBase, Apache Solr
Unspecified
Cloudera Data Science Workbench
10 Ratings
Score 7.4 out of 101
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>TRScore

Data Science Workbench Reviews

Data Science Workbench
10 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow'>trScore algorithm: Learn more.</a>
Score 7.4 out of 101
Show Filters 
Hide Filters 
Filter 10 vetted Data Science Workbench reviews and ratings
Clear all filters
Overall Rating
Reviewer's Company Size
Last Updated
By Topic
Industry
Department
Experience
Job Type
Role
Reviews (1-1 of 1)
  Vendors can't alter or remove reviews. Here's why.
Bharadwaj (Brad) Chivukula profile photo
February 14, 2018

Data Science Workbench Review: "Exciting tool from Cloudera"

Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Used by the Data Science/Engineering Team as a collaboration tool.
  • Combines all the efforts of various departments under a single IDE and provides a holistic view in the retail setting.
  • Use of data to project sales numbers, marketing etc.
  • 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
  • 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
  • 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.
Read Bharadwaj (Brad) Chivukula's full review

Data Science Workbench Scorecard Summary

About Data Science Workbench

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.
Categories:  Hadoop-Related,  Data Science

Data Science Workbench Technical Details

Operating Systems: Unspecified
Mobile Application:No