What users are saying about
1 Ratings
13 Ratings
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Score 7.9 out of 100
1 Ratings
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Score 9 out of 100

Likelihood to Recommend

Data Science Workbench

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.
Anonymous | TrustRadius Reviewer

Mode

For any data scientists or engineers willing to do advanced analytics. The simple analytics in it are hard to do. And business users with no knowledge of SQL will have a problem to even get started. The availability of Python and JS will give advanced users a lot of flexibility without the need to learn anything new. IT will just streamline access to data and management of notebook versions.
Alexandre Rezende | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.3
Mode
Connect to Multiple Data Sources
Data Science Workbench
6.6
Mode
Extend Existing Data Sources
Data Science Workbench
7.6
Mode
Automatic Data Format Detection
Data Science Workbench
7.0
Mode
MDM Integration
Data Science Workbench
8.0
Mode

Data Exploration

Data Science Workbench
8.2
Mode
Visualization
Data Science Workbench
7.9
Mode
Interactive Data Analysis
Data Science Workbench
8.4
Mode

Data Preparation

Data Science Workbench
7.8
Mode
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.4
Mode
Data Transformations
Data Science Workbench
8.0
Mode
Data Encryption
Data Science Workbench
8.0
Mode
Built-in Processors
Data Science Workbench
7.6
Mode

Platform Data Modeling

Data Science Workbench
8.2
Mode
Multiple Model Development Languages and Tools
Data Science Workbench
8.4
Mode
Automated Machine Learning
Data Science Workbench
7.0
Mode
Single platform for multiple model development
Data Science Workbench
8.3
Mode
Self-Service Model Delivery
Data Science Workbench
8.9
Mode

Model Deployment

Data Science Workbench
7.6
Mode
Flexible Model Publishing Options
Data Science Workbench
8.9
Mode
Security, Governance, and Cost Controls
Data Science Workbench
6.2
Mode

BI Standard Reporting

Data Science Workbench
Mode
8.0
Pixel Perfect reports
Data Science Workbench
Mode
8.0
Customizable dashboards
Data Science Workbench
Mode
9.0
Report Formatting Templates
Data Science Workbench
Mode
7.0

Ad-hoc Reporting

Data Science Workbench
Mode
8.8
Drill-down analysis
Data Science Workbench
Mode
8.0
Formatting capabilities
Data Science Workbench
Mode
10.0
Integration with R or other statistical packages
Data Science Workbench
Mode
10.0
Report sharing and collaboration
Data Science Workbench
Mode
7.0

Report Output and Scheduling

Data Science Workbench
Mode
8.8
Publish to Web
Data Science Workbench
Mode
9.0
Publish to PDF
Data Science Workbench
Mode
8.0
Report Versioning
Data Science Workbench
Mode
9.0
Report Delivery Scheduling
Data Science Workbench
Mode
9.0
Delivery to Remote Servers
Data Science Workbench
Mode
9.0

Data Discovery and Visualization

Data Science Workbench
Mode
8.5
Pre-built visualization formats (heatmaps, scatter plots etc.)
Data Science Workbench
Mode
9.0
Location Analytics / Geographic Visualization
Data Science Workbench
Mode
8.0

Pros

Data Science Workbench

  • 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
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Mode

  • Connect to databases
  • Python Notebooks
  • Flexible analysis modes
Alexandre Rezende | TrustRadius Reviewer

Cons

Data Science Workbench

  • Installation is difficult.
  • Upgrades are difficult.
  • Licensing options are not flexible.
Anonymous | TrustRadius Reviewer

Mode

  • Requires advanced knowledge to use
  • Drilldowns and filters are not simple
Alexandre Rezende | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

Mode

Mode 10.0
Based on 1 answer
For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.
Alexandre Rezende | TrustRadius Reviewer

Support Rating

Data Science Workbench

Data Science Workbench 6.7
Based on 2 answers
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.
Anonymous | TrustRadius Reviewer

Mode

Mode 10.0
Based on 1 answer
I didn't have to use IT support, so I don't know. But the system is asking me to give a rating. The documentation is good.
Alexandre Rezende | TrustRadius Reviewer

Alternatives Considered

Data Science Workbench

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.
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Mode

Mode is the best for the advanced user with advanced use cases. Even creating a simple report will require an SQL query. No drag-and-drop interface for querying data. But it is best for the advanced user already familiar with Python or R and SQL. The other products are more business friendly.
Alexandre Rezende | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Mode

  • It saved engineering the trouble to create and maintain advanced reports
Alexandre Rezende | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Mode

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Rating Summary

Likelihood to Recommend

Data Science Workbench
7.7
Mode
9.0

Usability

Data Science Workbench
Mode
10.0

Support Rating

Data Science Workbench
6.7
Mode
10.0

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