What users are saying about
14 Ratings
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Score 7.3 out of 100
43 Ratings
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Score 7.7 out of 100

Feature Set Ratings

  • Cloudera Data Science Workbench ranks higher in 4 feature sets: Data Exploration, Data Preparation, Platform Data Modeling, Model Deployment
  • Cloudera Data Science Workbench and KNIME Analytics Platform are tied in 1 feature set: Platform Connectivity

Platform Connectivity

7.5

Data Science Workbench

75%
7.5

KNIME Analytics Platform

75%
Cloudera Data Science Workbench ranks higher in 2/4 features

Connect to Multiple Data Sources

7.0
70%
2 Ratings
7.2
72%
9 Ratings

Extend Existing Data Sources

8.0
80%
2 Ratings
7.5
75%
9 Ratings

Automatic Data Format Detection

7.0
70%
2 Ratings
7.6
76%
9 Ratings

MDM Integration

8.0
80%
2 Ratings
7.6
76%
8 Ratings

Data Exploration

7.6

Data Science Workbench

76%
5.5

KNIME Analytics Platform

55%
Cloudera Data Science Workbench ranks higher in 2/2 features

Visualization

7.1
71%
2 Ratings
5.3
53%
9 Ratings

Interactive Data Analysis

8.0
80%
2 Ratings
5.7
57%
9 Ratings

Data Preparation

7.8

Data Science Workbench

78%
7.4

KNIME Analytics Platform

74%
Cloudera Data Science Workbench ranks higher in 2/4 features

Interactive Data Cleaning and Enrichment

7.0
70%
2 Ratings
7.5
75%
9 Ratings

Data Transformations

8.0
80%
2 Ratings
8.1
81%
9 Ratings

Data Encryption

8.0
80%
2 Ratings
6.8
68%
7 Ratings

Built-in Processors

8.0
80%
2 Ratings
7.0
70%
8 Ratings

Platform Data Modeling

7.6

Data Science Workbench

76%
5.5

KNIME Analytics Platform

55%
Cloudera Data Science Workbench ranks higher in 4/4 features

Multiple Model Development Languages and Tools

8.0
80%
2 Ratings
5.5
55%
7 Ratings

Automated Machine Learning

7.0
70%
1 Rating
5.9
59%
7 Ratings

Single platform for multiple model development

7.1
71%
2 Ratings
5.6
56%
8 Ratings

Self-Service Model Delivery

8.1
81%
2 Ratings
5.1
51%
8 Ratings

Model Deployment

8.0

Data Science Workbench

80%
6.1

KNIME Analytics Platform

61%
Cloudera Data Science Workbench ranks higher in 2/2 features

Flexible Model Publishing Options

8.1
81%
2 Ratings
6.6
66%
5 Ratings

Security, Governance, and Cost Controls

7.8
78%
2 Ratings
5.6
56%
4 Ratings

Attribute Ratings

  • Cloudera Data Science Workbench is rated higher in 2 areas: Likelihood to Recommend, Support Rating

Likelihood to Recommend

8.9

Data Science Workbench

89%
3 Ratings
7.6

KNIME Analytics Platform

76%
12 Ratings

Likelihood to Renew

Data Science Workbench

N/A
0 Ratings
8.0

KNIME Analytics Platform

80%
1 Rating

Usability

Data Science Workbench

N/A
0 Ratings
8.0

KNIME Analytics Platform

80%
1 Rating

Support Rating

7.7

Data Science Workbench

77%
3 Ratings
6.8

KNIME Analytics Platform

68%
6 Ratings

Implementation Rating

Data Science Workbench

N/A
0 Ratings
8.0

KNIME Analytics Platform

80%
2 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

KNIME Analytics Platform

[KNIME Analytics] is greatly suited for repetitive tasks one has to perform in excel as it automates these mundane tasks. [KNIME Analytics] is also well suited for creating a seamless connection with other BI tools to enable hands-free file sharing. [KNIME Analytics] has improvements to make on the overall User interface, its data visualization package and advanced level of AI-related tasks such as text mining,
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

KNIME Analytics Platform

  • Easy to use without much knowledge of coding.
  • Connection to other languages such as JS, R, Python, etc.
  • Workflow is displayed as connected nodes which makes it easy to troubleshoot and visualize.
  • Open-source.
  • Have a decent size community that supports Q&A.
Ivan Cui | TrustRadius Reviewer

Cons

Data Science Workbench

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

KNIME Analytics Platform

  • It does not have proper visualization.
  • Some other BI tools (QlikView) have much easier functions for data interaction.
  • Some other BI tools (Tableau) can be set up much faster.
  • It is not an easy tool to use for non-tech savvy staff.
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

KNIME Analytics Platform

General

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

Starting Price

Likelihood to Renew

Data Science Workbench

No score
No answers yet
No answers on this topic

KNIME Analytics Platform

KNIME Analytics Platform 8.0
Based on 1 answer
I am happy with the product. It provides the required functionality.
Anonymous | TrustRadius Reviewer

Usability

Data Science Workbench

No score
No answers yet
No answers on this topic

KNIME Analytics Platform

KNIME Analytics Platform 8.0
Based on 1 answer
It performs all the required functions.
Anonymous | 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

KNIME Analytics Platform

KNIME Analytics Platform 6.8
Based on 6 answers
Since it is relatively new, there has not developed a vast previously asked/frequently asked questions library that comes up when you google an issue you come across with. This will happen only in time, and as the community grows. Because of the same reason, the community is not big. Consequently, it is possible not to receive good, fast responses to asked questions in community hubs and forums.
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

KNIME Analytics Platform

  • Alteryx : allows for generally "data" knowledgeable workers to easily implement and develop a data model in an automated fashion. The collaboration tools built in also make is easy for members to share work, best practices, and custom modules
  • Alteryx is not cloud based solution where as KNIME Analytics has that
  • Alteryx was selected due to better user interface and better in data analytics
Anonymous | TrustRadius Reviewer

Return on Investment

Data Science Workbench

  • Paid off for demonstration purposes.
Anonymous | TrustRadius Reviewer

KNIME Analytics Platform

  • It is suited for data mining or machine learning work but If we're looking for advanced stat methods such as mixed effects linear/logistics models, that needs to be run through an R node.
  • Thinking of our peers with an advanced visualization techniques requirement, it is a lagging product.
Rohit Narang | TrustRadius Reviewer

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