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At a Glance
Market Segments
Enterprise (48.5% of reviews)
Small-Business (41.0% of reviews)
Entry-Level Pricing
Free
Pay As You Go Per Month
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 plansVertex AI
Star Rating
(592)4.3 out of 5
Market Segments
Small-Business (41.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Learn more about Vertex AISummary
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, Vertex AI scores lower at 8.3, indicating it may not be as strong in this area.
- Reviewers mention that KNIME's Drag and Drop functionality is highly rated at 9.4, which simplifies the user experience for building workflows. Vertex AI, however, has a lower score of 8.1, suggesting that its interface may not be as intuitive for users who prefer visual programming.
- G2 users highlight that KNIME Software offers superior Model Training capabilities with a score of 9.5, which is crucial for users focused on developing and refining machine learning models. Vertex AI's score of 8.5 indicates it may not provide the same level of support for model training.
- Users on G2 report that KNIME's Collaboration features are rated at 8.9, facilitating teamwork and project sharing effectively. In comparison, Vertex AI's score of 8.4 suggests it may have less robust collaboration tools.
- Reviewers mention that KNIME Software's Quality of Support is rated at 8.4, indicating a strong customer service experience. Vertex AI, with a score of 8.2, may not provide the same level of support, which could be a consideration for users needing assistance.
- Users say that KNIME's Scalability is rated at 8.9, making it a strong option for enterprises looking to grow their data operations. Vertex AI's score of 8.5 suggests it is also scalable but may not match the flexibility offered by KNIME.
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
Vertex AI
Try Vertex AI Free
Pay As You Go
Per Month
New customers get $300 in free credits to spend on Vertex AI.
- A unified UI for the entire ML workflow
- Pre-trained APIs for vision, video, natural language, and more
- End-to-end integration for data and AI
Free Trial
KNIME Software
Free Trial is available
Vertex AI
Free Trial is available
Ratings
Meets Requirements
8.5
62
8.6
359
Ease of Use
8.2
62
8.2
368
Ease of Setup
8.2
19
8.1
291
Ease of Admin
7.9
16
7.9
141
Quality of Support
8.2
54
8.1
335
Has the product been a good partner in doing business?
8.1
14
8.2
135
Product Direction (% positive)
8.7
62
9.2
353
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
Deployment
Not enough data
8.3
73
Not enough data
8.1
74
Not enough data
8.3
74
Not enough data
8.3
70
Not enough data
8.8
70
Deployment
Not enough data
8.4
73
Not enough data
8.3
72
Not enough data
8.4
71
Not enough data
8.5
71
Not enough data
8.7
69
Management
Not enough data
8.3
70
Not enough data
8.5
69
Not enough data
8.0
69
Not enough data
8.1
69
Operations
Not enough data
8.2
69
Not enough data
8.4
70
Not enough data
8.3
70
Management
Not enough data
8.1
68
Not enough data
8.4
69
Not enough data
8.3
68
Generative AI
Not enough data
8.2
34
Not enough data
8.4
34
System
8.8
15
8.2
170
Model Development
8.3
14
8.4
202
8.9
14
7.9
179
8.2
14
8.4
200
8.8
13
8.5
202
Model Development
8.0
14
8.2
165
Machine/Deep Learning Services
7.8
9
8.2
200
8.3
12
8.4
196
7.8
10
8.2
195
7.8
10
8.2
178
Machine/Deep Learning Services
7.9
13
8.5
165
7.9
12
8.4
163
Deployment
8.5
13
8.2
193
8.7
13
8.3
194
8.5
14
8.5
193
Generative AI
Not enough data
8.3
102
Not enough data
8.2
102
Not enough data
8.1
103
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
34
Not enough data
7.8
34
Not enough data
7.7
34
Not enough data
7.8
34
Not enough data
8.4
34
Not enough data
7.8
34
Not enough data
7.9
34
Scalability and Performance - Generative AI Infrastructure
Not enough data
8.9
28
Not enough data
8.6
28
Not enough data
8.5
28
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
7.8
28
Not enough data
7.9
28
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.4
28
Not enough data
8.1
28
Not enough data
8.3
28
Security and Compliance - Generative AI Infrastructure
Not enough data
8.6
28
Not enough data
8.5
28
Not enough data
8.9
28
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
28
Not enough data
8.3
28
Integration - Machine Learning
Not enough data
8.5
67
Learning - Machine Learning
Not enough data
8.5
66
Not enough data
8.3
65
Not enough data
8.8
66
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
8.9
23
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Not enough data
8.9
22
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
22
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
22
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.7
21
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
21
Not enough data
8.8
21
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.0
21
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
8.9
22
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
Not enough data
8.5
27
Not enough data
7.6
27
Not enough data
8.3
26
Functionality - AI Agent Builders
Not enough data
8.1
27
Not enough data
7.3
27
Not enough data
8.2
26
Not enough data
7.2
27
Data and Analytics - AI Agent Builders
Not enough data
7.7
25
Not enough data
7.9
27
Not enough data
8.0
27
Integration - AI Agent Builders
Not enough data
8.7
27
Not enough data
8.0
27
Not enough data
8.0
27
Not enough data
7.5
27
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 Vertex AI are categorized as Data Science and Machine Learning Platforms and Low-Code Machine Learning Platforms
Unique Categories
KNIME Software is categorized as Predictive Analytics and Statistical Analysis
Vertex AI is categorized as Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, MLOps Platforms, Machine Learning, and AI Agent Builders
Reviews
Reviewers' Company Size
KNIME Software
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Vertex AI
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
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.4%
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
What is Google Cloud AI Platform used for?
2 Comments
KS
Google cloud AI Platform enables us to build Machine learning models, that works on any type and any size of data. Read more
What software libraries does cloud ML engine support?
2 Comments
JP
It's supporting approx all trending libraries.Read more
What is Google AI platform?
1 Comment
ZM
The Google AI Platform is a comprehensive set of tools and services provided by Google Cloud to develop, deploy, and manage artificial intelligence. It...Read more
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