What users are saying about
14 Ratings
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Score 7.3 out of 100
15 Ratings
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Score 9 out of 100

Feature Set Ratings

  • Dataiku DSS ranks higher in 5 feature sets: Platform Connectivity, Data Exploration, Data Preparation, Platform Data Modeling, Model Deployment

Platform Connectivity

7.5

Data Science Workbench

75%
9.0

Dataiku DSS

90%
Dataiku DSS ranks higher in 3/4 features

Connect to Multiple Data Sources

7.0
70%
2 Ratings
9.9
99%
4 Ratings

Extend Existing Data Sources

8.0
80%
2 Ratings
9.8
98%
4 Ratings

Automatic Data Format Detection

7.0
70%
2 Ratings
9.8
98%
4 Ratings

MDM Integration

8.0
80%
2 Ratings
6.5
65%
2 Ratings

Data Exploration

7.6

Data Science Workbench

76%
9.0

Dataiku DSS

90%
Dataiku DSS ranks higher in 2/2 features

Visualization

7.1
71%
2 Ratings
8.8
88%
4 Ratings

Interactive Data Analysis

8.0
80%
2 Ratings
9.1
91%
4 Ratings

Data Preparation

7.8

Data Science Workbench

78%
9.4

Dataiku DSS

94%
Dataiku DSS ranks higher in 4/4 features

Interactive Data Cleaning and Enrichment

7.0
70%
2 Ratings
9.7
97%
4 Ratings

Data Transformations

8.0
80%
2 Ratings
9.5
95%
4 Ratings

Data Encryption

8.0
80%
2 Ratings
8.9
89%
4 Ratings

Built-in Processors

8.0
80%
2 Ratings
9.4
94%
4 Ratings

Platform Data Modeling

7.6

Data Science Workbench

76%
8.5

Dataiku DSS

85%
Dataiku DSS ranks higher in 3/4 features

Multiple Model Development Languages and Tools

8.0
80%
2 Ratings
6.3
63%
4 Ratings

Automated Machine Learning

7.0
70%
1 Rating
9.3
93%
4 Ratings

Single platform for multiple model development

7.1
71%
2 Ratings
9.3
93%
4 Ratings

Self-Service Model Delivery

8.1
81%
2 Ratings
9.3
93%
4 Ratings

Model Deployment

8.0

Data Science Workbench

80%
8.5

Dataiku DSS

85%
Dataiku DSS ranks higher in 2/2 features

Flexible Model Publishing Options

8.1
81%
2 Ratings
8.5
85%
4 Ratings

Security, Governance, and Cost Controls

7.8
78%
2 Ratings
8.6
86%
4 Ratings

Attribute Ratings

  • Dataiku DSS is rated higher in 2 areas: Likelihood to Recommend, Support Rating

Likelihood to Recommend

8.9

Data Science Workbench

89%
3 Ratings
9.3

Dataiku DSS

93%
4 Ratings

Usability

Data Science Workbench

N/A
0 Ratings
10.0

Dataiku DSS

100%
1 Rating

Support Rating

7.7

Data Science Workbench

77%
3 Ratings
9.3

Dataiku DSS

93%
3 Ratings

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

Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required.While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Anonymous | TrustRadius Reviewer

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

  • The intuitiveness of this tool is very good.
  • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
  • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
Devesh Singh | TrustRadius Reviewer

Cons

Data Science Workbench

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

Dataiku DSS

  • End product deployment.
Anonymous | TrustRadius Reviewer

Pricing Details

Data Science Workbench

General

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

Starting Price

Data Science Workbench Editions & Modules

Additional Pricing Details

Dataiku DSS

General

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

Starting Price

$0

Dataiku DSS Editions & Modules

Edition
DiscoverContact sales team
BusinessContact sales team
EnterpriseContact sales team
  1. none
Additional Pricing Details

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 7.7
Based on 3 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 9.3
Based on 3 answers
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
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

Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
Anonymous | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

Dataiku DSS

  • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
  • Platform also ease tracking of data processing workflow, unlike Excel.
  • Build-in data visualizations covers many use cases with minimal customization; time saver.
Anonymous | TrustRadius Reviewer

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