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Compare IBM Watson Studio and KNIME Software 
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At a Glance
Market Segments
Enterprise (51.3% of reviews)
Enterprise (48.5% of reviews)
Entry-Level Pricing
No pricing available
Free
IBM Watson Studio
Star Rating
(164)4.2 out of 5
Market Segments
Enterprise (51.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about IBM Watson StudioKNIME Software
Star Rating
(69)4.4 out of 5
Market Segments
Enterprise (48.5% of reviews)
Pros & Cons
Entry-Level Pricing
Free
Browse all 6 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that KNIME Software excels in data connectivity, with a score of 9.3 for ease of data connectivity, while IBM Watson Studio scores slightly lower at 8.0. Reviewers mention that KNIME's ability to connect to a wide range of data sources makes it a preferred choice for data integration tasks.
- Reviewers mention that KNIME Software offers superior ease of deployment, scoring 9.8 compared to IBM Watson Studio's 8.5. Users say that the drag-and-drop interface in KNIME simplifies the deployment process, making it more accessible for users without extensive technical backgrounds.
- G2 users highlight the strong model training capabilities of KNIME Software, with a score of 9.5, while IBM Watson Studio scores 8.3. Users report that KNIME's pre-built algorithms and model training features are particularly beneficial for rapid prototyping and experimentation.
- Users on G2 mention that IBM Watson Studio shines in its machine learning services, particularly in natural language processing, where it scores 8.9 compared to KNIME's 8.5. Reviewers say that Watson Studio's advanced NLP capabilities are a significant advantage for projects focused on text analysis.
- Reviewers mention that KNIME Software has a strong focus on data quality and cleansing, scoring 9.2, while IBM Watson Studio scores 8.6. Users report that KNIME's data wrangling tools are highly effective for ensuring data integrity before analysis.
- Users say that IBM Watson Studio provides a more comprehensive managed service experience, scoring 9.4 compared to KNIME's 8.1. Reviewers mention that the managed service options in Watson Studio facilitate easier scaling and maintenance for enterprise-level applications.
Pricing
Entry-Level Pricing
IBM Watson Studio
No pricing availableKNIME Software
KNIME Analytics Platform
Free
A free and open source software that allows anyone, irrespective of experience levels, to make sense of data using visual workflows.
Download today at knime.com/downloads and use it free forever.
- Access data from any data source - your laptop, an application or a data warehouse
- Easily blend data of any size and any type - all file formats supported
- Aggregate, sort, filter, and join data on your device, in-database, or in distributed big data environments
Free Trial
IBM Watson Studio
No trial information availableKNIME Software
Free Trial is available
Ratings
Meets Requirements
8.3
121
8.5
62
Ease of Use
8.0
122
8.2
62
Ease of Setup
7.6
100
8.2
19
Ease of Admin
7.8
95
7.9
16
Quality of Support
8.2
113
8.2
54
Has the product been a good partner in doing business?
8.0
94
8.1
14
Product Direction (% positive)
8.5
115
8.7
62
Features by Category
Data Source Access
9.0
13
Not enough data
9.3
12
Not enough data
9.2
14
Not enough data
Data Interaction
9.0
14
Not enough data
9.2
12
Not enough data
9.4
12
Not enough data
9.1
13
Not enough data
9.2
12
Not enough data
9.2
13
Not enough data
9.1
13
Not enough data
9.6
12
Not enough data
Data Exporting
9.4
12
Not enough data
9.2
12
Not enough data
9.2
12
Not enough data
Generative AI
Not enough data
Not enough data
Administration
Not enough data
8.3
24
Not enough data
8.7
26
Not enough data
8.6
25
Capabilities
Not enough data
8.6
26
Not enough data
8.4
23
Not enough data
8.6
23
Not enough data
7.9
21
Methodology
Not enough data
8.3
21
Not enough data
8.7
25
Not enough data
8.5
24
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
8.8
8
Not enough data
9.2
8
Not enough data
9.0
8
Not enough data
9.4
8
Not enough data
8.8
8
Not enough data
Deployment
9.0
8
Not enough data
8.8
8
Not enough data
8.8
8
Not enough data
9.4
8
Not enough data
9.2
8
Not enough data
Management
9.3
7
Not enough data
9.6
8
Not enough data
9.0
7
Not enough data
9.0
8
Not enough data
Operations
9.0
8
Not enough data
9.0
8
Not enough data
9.3
7
Not enough data
Management
9.5
7
Not enough data
9.4
8
Not enough data
8.8
7
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
9.0
12
8.8
15
Model Development
8.5
33
8.3
14
8.8
34
8.9
14
8.5
35
8.2
14
8.3
36
8.8
13
Model Development
9.4
13
8.0
14
Machine/Deep Learning Services
8.5
27
7.8
9
8.5
34
8.3
12
Feature Not Available
7.8
10
8.6
28
7.8
10
Machine/Deep Learning Services
8.9
12
7.9
13
9.0
12
7.9
12
Deployment
8.5
32
8.5
13
8.6
33
8.7
13
8.6
30
8.5
14
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Setup
8.6
7
Not enough data
8.3
7
Not enough data
9.7
6
Not enough data
Data
8.6
7
Not enough data
8.6
7
Not enough data
Analysis
9.7
6
Not enough data
8.1
7
Not enough data
8.1
7
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.1
7
Not enough data
7.9
7
Not enough data
Customization
9.0
7
Not enough data
8.1
7
Not enough data
9.2
6
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
8.0
14
8.0
37
8.4
15
8.2
42
8.1
15
8.2
40
Data Analysis
8.7
15
8.3
33
9.0
14
8.3
42
Decision Making
8.6
14
8.3
31
8.6
15
8.0
41
8.3
13
7.9
39
8.7
14
8.4
40
Generative AI
9.3
5
7.2
6
8.3
5
7.2
6
Categories
Categories
Shared Categories
IBM Watson Studio and KNIME Software are categorized as Data Science and Machine Learning Platforms and Predictive Analytics
Unique Categories
KNIME Software is categorized as Statistical Analysis and Low-Code Machine Learning Platforms
Reviews
Reviewers' Company Size
IBM Watson Studio
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
KNIME Software
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.8%
Computer Software
13.3%
Telecommunications
8.2%
Banking
7.6%
Education Management
5.7%
Other
49.4%
Information Technology and Services
29.4%
Higher Education
11.8%
Research
5.9%
Financial Services
4.4%
E-Learning
4.4%
Other
44.1%
Alternatives
Discussions
IBM Watson Studio has no discussions with answers
Is Knime easy to use?
1 Comment
GB
Not as easy as Alteryx but a lot of its components are customizable and it vastly extends the use cases that could be built with it. This trumps the easy to...Read more
KNIME Software has no more discussions with answers
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