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
43 Ratings
<a href='https://www.trustradius.com/static/about-trustradius-scoring' target='_blank' rel='nofollow noopener'>trScore algorithm: Learn more.</a>Score 7.7 out of 100
Based on 43 reviews and ratings
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
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
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
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
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
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.

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

Verified User
Manager in Corporate
Hospitality Company, 10,001+ 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
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.
Data Scientist - Biotech Data Science Digtialization (BDSD)
BayerPharmaceuticals, 10,001+ 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+ employeesKNIME 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.

Verified User
Analyst in Information Technology
Retail Company, 1001-5000 employeesPricing 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.

Verified User
Analyst in Information Technology
Retail Company, 1001-5000 employeesUsability
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.

Verified User
Analyst in Information Technology
Retail Company, 1001-5000 employeesSupport 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 employeesKNIME 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.

Verified User
Professional in Research & Development
Consumer Electronics Company, 5001-10,000 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
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

Verified User
Engineer in Engineering
Mining & Metals Company, 1001-5000 employeesReturn on Investment
Data Science Workbench
- Paid off for demonstration purposes.

Verified User
Professional in Research & Development
Utilities Company, 10,001+ employeesKNIME 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.
Assistant Vice President
HSBC Commercial BankingFinancial Services, 10,001+ employees