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Compare KNIME Software and Palantir Gotham 
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At a Glance
Market Segments
Enterprise (48.5% of reviews)
Mid-Market (37.5% of reviews)
Entry-Level Pricing
Free
No pricing available
KNIME 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 plansPalantir Gotham
Star Rating
(10)4.3 out of 5
Market Segments
Mid-Market (37.5% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Palantir GothamSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that KNIME Software excels in Data Ingestion & Wrangling with a score of 9.4, making it a preferred choice for those needing robust data preparation capabilities. In contrast, Palantir Gotham, while strong in other areas, does not emphasize this feature as much, leading to a less favorable experience for users focused on data wrangling.
- Reviewers mention that KNIME's Drag and Drop functionality is rated at 9.4, which simplifies the user experience significantly. On the other hand, Palantir Gotham's drag-and-drop capabilities, while functional, do not receive the same level of praise, indicating a potential learning curve for new users.
- G2 users highlight that KNIME Software's Model Training feature scores an impressive 9.5, showcasing its strength in machine learning workflows. Conversely, Palantir Gotham's model training capabilities, rated at 8.3, may not meet the expectations of users looking for advanced machine learning functionalities.
- Reviewers say that KNIME's Collaboration features, rated at 8.9, facilitate teamwork effectively, which is crucial for enterprise environments. In contrast, Palantir Gotham's collaboration tools are less emphasized, potentially hindering team-based projects.
- Users on G2 report that KNIME Software's Quality of Support is rated at 8.4, which is generally satisfactory, but Palantir Gotham shines with a higher score of 9.4, indicating a more responsive and helpful support system for users needing assistance.
- Reviewers mention that KNIME's Product Direction is rated at 8.8, reflecting a positive outlook on future updates and enhancements. In comparison, Palantir Gotham boasts a perfect score of 10.0, suggesting that users feel very confident about the product's ongoing development and innovation.
Pricing
Entry-Level Pricing
KNIME 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
Palantir Gotham
No pricing availableFree Trial
KNIME Software
Free Trial is available
Palantir Gotham
No trial information availableRatings
Meets Requirements
8.5
62
9.4
6
Ease of Use
8.2
62
9.0
5
Ease of Setup
8.2
19
Not enough data
Ease of Admin
7.9
16
Not enough data
Quality of Support
8.2
54
9.4
6
Has the product been a good partner in doing business?
8.1
14
Not enough data
Product Direction (% positive)
8.7
62
10.0
7
Features by Category
Administration
8.3
24
Not enough data
8.7
26
Not enough data
8.6
25
Not enough data
Capabilities
8.6
26
Not enough data
8.4
23
Not enough data
8.6
23
Not enough data
7.9
21
Not enough data
Methodology
8.3
21
Not enough data
8.7
25
Not enough data
8.5
24
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
System
8.8
15
Not enough data
Model Development
8.3
14
Not enough data
8.9
14
Not enough data
8.2
14
Not enough data
8.8
13
Not enough data
Model Development
8.0
14
Not enough data
Machine/Deep Learning Services
7.8
9
Not enough data
8.3
12
Not enough data
7.8
10
Not enough data
7.8
10
Not enough data
Machine/Deep Learning Services
7.9
13
Not enough data
7.9
12
Not enough data
Deployment
8.5
13
Not enough data
8.7
13
Not enough data
8.5
14
Not enough data
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
Data Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Analytics
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Data Fabric
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
Development
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
Management
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
Security
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration Options
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Deployment
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security
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
37
Not enough data
8.2
42
Not enough data
8.2
40
Not enough data
Data Analysis
8.3
33
Not enough data
8.3
42
Not enough data
Decision Making
8.3
31
Not enough data
8.0
41
Not enough data
7.9
39
Not enough data
8.4
40
Not enough data
Generative AI
7.2
6
Not enough data
7.2
6
Not enough data
Categories
Categories
Shared Categories
KNIME Software and Palantir Gotham are categorized as Predictive Analytics and Data Science and Machine Learning Platforms
Unique Categories
KNIME Software is categorized as Statistical Analysis and Low-Code Machine Learning Platforms
Palantir Gotham is categorized as Master Data Management (MDM), Data Fabric, Big Data Integration Platforms, and iPaaS
Reviews
Reviewers' Company Size
KNIME Software
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Palantir Gotham
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
29.4%
Higher Education
11.8%
Research
5.9%
Financial Services
4.4%
E-Learning
4.4%
Other
44.1%
Computer Software
37.5%
Transportation/Trucking/Railroad
12.5%
Information Technology and Services
12.5%
Government Relations
12.5%
Airlines/Aviation
12.5%
Other
12.5%
Alternatives
Discussions
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
Palantir Gotham has no discussions with answers
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