What users are saying about
13 Ratings
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Score 7.9 out of 100
11 Ratings
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Score 8 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

Dataiku DSS

I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.
Devesh Singh | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Data Science Workbench
7.3
Dataiku DSS
8.7
Connect to Multiple Data Sources
Data Science Workbench
6.6
Dataiku DSS
9.7
Extend Existing Data Sources
Data Science Workbench
7.6
Dataiku DSS
9.3
Automatic Data Format Detection
Data Science Workbench
7.0
Dataiku DSS
9.3
MDM Integration
Data Science Workbench
8.0
Dataiku DSS
6.5

Data Exploration

Data Science Workbench
8.2
Dataiku DSS
7.8
Visualization
Data Science Workbench
7.9
Dataiku DSS
7.7
Interactive Data Analysis
Data Science Workbench
8.4
Dataiku DSS
8.0

Data Preparation

Data Science Workbench
7.8
Dataiku DSS
8.2
Interactive Data Cleaning and Enrichment
Data Science Workbench
7.4
Dataiku DSS
9.0
Data Transformations
Data Science Workbench
8.0
Dataiku DSS
8.7
Data Encryption
Data Science Workbench
8.0
Dataiku DSS
7.0
Built-in Processors
Data Science Workbench
7.6
Dataiku DSS
8.0

Platform Data Modeling

Data Science Workbench
8.2
Dataiku DSS
7.7
Multiple Model Development Languages and Tools
Data Science Workbench
8.4
Dataiku DSS
7.7
Automated Machine Learning
Data Science Workbench
7.0
Dataiku DSS
7.7
Single platform for multiple model development
Data Science Workbench
8.3
Dataiku DSS
7.7
Self-Service Model Delivery
Data Science Workbench
8.9
Dataiku DSS
7.7

Model Deployment

Data Science Workbench
7.6
Dataiku DSS
7.5
Flexible Model Publishing Options
Data Science Workbench
8.9
Dataiku DSS
7.3
Security, Governance, and Cost Controls
Data Science Workbench
6.3
Dataiku DSS
7.7

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

Dataiku DSS

  • Low-code platform.
  • Open source version includes most valuable modules.
  • User friendly documentation.
Anonymous | TrustRadius Reviewer

Cons

Data Science Workbench

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

Dataiku DSS

  • The visualization feature of flow still has a lot room to improve, when the flow is complex.
  • The "non-coding" template/building block for deep learning lack of many important configurable parameters.
  • Lack of the unified way to allow applying the "design pattern" on the Python codes (if we want to develop our own module or building blocks.
Anonymous | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

Dataiku DSS

Dataiku DSS 10.0
Based on 1 answer
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
Devesh Singh | 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

Dataiku DSS

Dataiku DSS 9.0
Based on 3 answers
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
Anonymous | 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

Dataiku DSS

Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
Anonymous | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Dataiku DSS

  • So far it has had a positive impact. Multiple departments are coming to us with their business problems.
  • I can't specifically say about ROI as I'm a developer, though I have heard this solution is economical compared to other AI/ML enterprise tools.
  • By using this tool, my client has let go of software that was used earlier, and we have created a simpler framework to replace that software.
Devesh Singh | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

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

Dataiku DSS

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
Dataiku DSS
8.0

Usability

Data Science Workbench
Dataiku DSS
10.0

Support Rating

Data Science Workbench
6.7
Dataiku DSS
9.0

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