What users are saying about
14 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 7.3 out of 100
Based on 14 reviews and ratings
15 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 9 out of 100
Based on 15 reviews and ratings
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
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
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
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
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
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.

Verified User
Professional in Information Technology
Telecommunications Company, 1001-5000 employeesDataiku 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.

Verified User
Analyst in Customer Service
Consumer Goods Company, 5001-10,000 employeesPros
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
Sr.Technical Manager/Delivery Manager
Nisum Technologies, Inc.Retail, 10,001+ employees
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.
Data Scientist II
Alumnus Software LimitedInformation Technology & Services, 51-200 employees
Cons
Data Science Workbench
- Installation is difficult.
- Upgrades are difficult.
- Licensing options are not flexible.

Verified User
Professional in Research & Development
Utilities Company, 10,001+ employeesDataiku DSS
- End product deployment.

Verified User
Engineer in Corporate
Oil & Energy Company, 10,001+ employeesPricing 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
Discover | Contact sales team |
---|---|
Business | Contact sales team |
Enterprise | Contact sales team |
- 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.
Data Scientist II
Alumnus Software LimitedInformation Technology & Services, 51-200 employees
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.

Verified User
Professional in Information Technology
Telecommunications Company, 1001-5000 employeesDataiku 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.

Verified User
Strategist in Information Technology
Package/Freight Delivery Company, 10,001+ employeesAlternatives 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.
Sr.Technical Manager/Delivery Manager
Nisum Technologies, Inc.Retail, 10,001+ employees
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.

Verified User
Analyst in Customer Service
Consumer Goods Company, 5001-10,000 employeesReturn on Investment
Data Science Workbench
- Paid off for demonstration purposes.

Verified User
Professional in Research & Development
Utilities Company, 10,001+ employeesDataiku 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.

Verified User
Engineer in Corporate
Oil & Energy Company, 10,001+ employees