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At a Glance
Market Segments
Small-Business (45.8% of reviews)
Small-Business (40.2% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
Gemini
Star Rating
(323)4.4 out of 5
Market Segments
Small-Business (45.8% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about GeminiIBM watsonx.ai
Star Rating
(123)4.4 out of 5
Market Segments
Small-Business (40.2% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about IBM watsonx.aiSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that IBM watsonx.ai excels in Data Quality with a score of 9.7, which reviewers mention contributes to more reliable insights and analytics compared to Gemini's score of 9.2.
- Reviewers mention that Gemini shines in Ease of Setup with a score of 9.8, making it easier for teams to get started quickly, while IBM watsonx.ai has a slightly lower score of 9.1.
- G2 users highlight that IBM watsonx.ai offers superior Natural Language Processing capabilities, scoring 8.8, which enhances its ability to understand and generate human-like text, whereas Gemini scores 8.4 in this area.
- Users on G2 report that Gemini provides better Scalability with a score of 9.5, allowing businesses to grow without performance issues, while IBM watsonx.ai matches this with a score of 9.0 but lacks some advanced features.
- Reviewers say that IBM watsonx.ai's Model Registry feature, scoring 9.3, is highly praised for its organization and management of machine learning models, which is a standout compared to Gemini's score of 8.3.
- Users report that Gemini's API User-Friendliness is rated at 7.8, which some find less intuitive than IBM watsonx.ai's score of 8.6, indicating a smoother integration experience with IBM's platform.
Pricing
Entry-Level Pricing
Gemini
No pricing availableIBM watsonx.ai
No pricing availableFree Trial
Gemini
Free Trial is available
IBM watsonx.ai
Free Trial is available
Ratings
Meets Requirements
8.7
230
8.8
78
Ease of Use
9.3
233
8.8
110
Ease of Setup
9.5
108
8.5
101
Ease of Admin
9.0
35
8.7
36
Quality of Support
8.6
199
8.8
77
Has the product been a good partner in doing business?
9.3
35
8.9
36
Product Direction (% positive)
9.4
227
9.9
80
Features by Category
Core Conversational Capabilities - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data
8.7
112
Not enough data
8.3
111
Not enough data
Interaction
8.3
111
Not enough data
8.8
110
Not enough data
8.6
112
Not enough data
8.5
109
Not enough data
8.3
109
Not enough data
Task & Flow Management - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Learning
8.6
106
Not enough data
8.2
109
Not enough data
Deployment & Embedding - AI Chatbots
Not enough data
Not enough data
Not enough data
Not enough data
Content Generation
8.5
110
Not enough data
8.4
113
Not enough data
Admin & Configuration - AI Chatbots
Not enough data
Not enough data
System
8.3
108
Not enough data
8.7
104
Not enough data
8.5
105
Not enough data
8.7
105
Not enough data
Agentic AI - AI Chatbots
8.5
14
Not enough data
8.7
14
Not enough data
8.8
14
Not enough data
8.3
15
Not enough data
8.3
15
Not enough data
8.6
15
Not enough data
8.6
15
Not enough data
Monitoring & Improvement - AI Chatbots
Not enough data
Not enough data
Reliability & Safety - AI Chatbots
Not enough data
Not enough data
Grammar
8.9
37
Not enough data
8.0
37
Not enough data
8.1
36
Not enough data
Formatting
8.0
34
Not enough data
8.1
35
Not enough data
7.8
35
Not enough data
Content
8.8
38
Not enough data
8.4
38
Not enough data
8.1
34
Not enough data
Product Type
8.3
35
Not enough data
7.7
34
Not enough data
Generative AI
8.5
35
Not enough data
8.4
36
Not enough data
Deployment
Not enough data
9.1
9
Not enough data
8.5
9
Not enough data
7.8
9
Not enough data
8.7
9
Not enough data
8.7
9
Deployment
Not enough data
9.3
9
Not enough data
8.7
9
Not enough data
8.3
9
Not enough data
8.9
9
Not enough data
9.1
9
Management
Not enough data
8.0
9
Not enough data
8.5
9
Not enough data
8.5
9
Not enough data
9.3
9
Operations
Not enough data
9.1
9
Not enough data
8.7
9
Not enough data
9.3
9
Management
Not enough data
8.5
9
Not enough data
9.0
8
Not enough data
8.5
8
Generative AI
Not enough data
9.1
9
Not enough data
9.3
9
System
Not enough data
8.2
31
Model Development
Not enough data
8.6
32
Not enough data
8.2
32
Not enough data
8.7
31
Not enough data
8.4
32
Model Development
Not enough data
8.5
32
Machine/Deep Learning Services
Not enough data
Feature Not Available
Not enough data
8.9
32
Not enough data
8.6
32
Not enough data
8.1
32
Machine/Deep Learning Services
Not enough data
8.5
32
Not enough data
8.8
32
Deployment
Not enough data
8.2
32
Not enough data
8.6
32
Not enough data
8.8
32
Generative AI
Not enough data
8.8
31
Not enough data
8.8
31
Not enough data
Feature Not Available
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 Type
Not enough data
8.8
13
Not enough data
Feature Not Available
Not enough data
8.5
12
Synthesis Type
Not enough data
9.0
12
Not enough data
9.2
12
Data Transformation
Not enough data
8.6
12
Not enough data
9.3
12
Not enough data
9.7
12
Not enough data
9.2
12
Not enough data
9.2
12
Audio
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Video
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Image
Not enough data
Not enough data
Not enough data
Not enough data
Text
Not enough data
Not enough data
Not enough data
Not enough data
Platform
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
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
Functionality
8.1
80
Not enough data
8.4
79
Not enough data
8.6
76
Not enough data
8.1
77
Not enough data
Support
8.2
75
Not enough data
8.4
76
Not enough data
8.4
76
Not enough data
Agentic AI - AI Code Generation
8.2
20
Not enough data
8.0
20
Not enough data
8.3
20
Not enough data
8.1
20
Not enough data
8.3
20
Not enough data
Image Generation
8.9
23
Not enough data
8.6
23
Not enough data
8.3
23
Not enough data
8.4
23
Not enough data
8.0
23
Not enough data
Advanced Functionality
8.3
23
Not enough data
7.5
23
Not enough data
7.7
22
Not enough data
8.6
23
Not enough data
Model
7.6
24
Not enough data
7.9
23
Not enough data
7.5
23
Not enough data
Commercial Rights & Licensing - AI Image Generators
Not enough data
Not enough data
License Type Transparency - AI Image Generators
Not enough data
Not enough data
Performance
8.6
79
Not enough data
8.5
79
Not enough data
8.5
76
Not enough data
8.7
74
Not enough data
8.3
75
Not enough data
Usability
8.5
73
Not enough data
8.2
71
Not enough data
7.8
72
Not enough data
7.9
72
Not enough data
7.7
71
Not enough data
Ethics & Compliance
7.8
71
Not enough data
7.9
72
Not enough data
8.4
72
Not enough data
8.4
70
Not enough data
8.2
71
Not enough data
Generative AI - Large Language Models (LLMs)
8.9
12
Not enough data
7.0
9
Not enough data
8.7
10
Not enough data
7.6
9
Not enough data
8.3
9
Not enough data
8.1
9
Not enough data
9.2
11
Not enough data
8.7
10
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
9.4
8
Not enough data
9.0
8
Not enough data
9.4
8
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.9
8
Not enough data
8.6
7
Not enough data
8.3
7
Integration and Extensibility - Generative AI Infrastructure
Not enough data
9.5
7
Not enough data
8.6
7
Not enough data
8.8
7
Security and Compliance - Generative AI Infrastructure
Not enough data
8.3
7
Not enough data
8.8
7
Not enough data
8.6
7
Usability and Support - Generative AI Infrastructure
Not enough data
9.3
7
Not enough data
9.0
7
Content Generation - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management - AI Content Creation Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration - Machine Learning
Not enough data
9.0
21
Learning - Machine Learning
Not enough data
9.2
22
Not enough data
9.1
22
Not enough data
9.0
21
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
6
Not enough data
8.1
6
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
7
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
6
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
8.1
7
Not enough data
8.8
7
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
6
Not enough data
8.6
6
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.6
6
Not enough data
8.9
6
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.4
6
Not enough data
9.2
6
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
6
Customization - AI Agent Builders
Not enough data
9.0
8
Not enough data
9.2
8
Not enough data
9.0
7
Functionality - AI Agent Builders
Not enough data
8.6
7
Not enough data
9.2
8
Not enough data
9.3
7
Not enough data
8.8
7
Data and Analytics - AI Agent Builders
Not enough data
9.0
7
Not enough data
8.8
7
Not enough data
9.0
7
Integration - AI Agent Builders
Not enough data
9.2
8
Not enough data
9.0
7
Not enough data
9.0
7
Not enough data
8.6
7
Functionality - AI Coding Assistants
7.9
17
Not enough data
8.5
18
Not enough data
8.3
18
Not enough data
Usability - AI Coding Assistants
8.5
17
Not enough data
8.2
16
Not enough data
8.8
18
Not enough data
8.9
17
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
Categories
Categories
Shared Categories
Gemini and IBM watsonx.ai share no categories
Unique Categories
Gemini is categorized as Large Language Models (LLMs), AI Coding Assistants, AI Code Generation, AI Chatbots, AI Image Generators, and AI Writing Assistant
Reviews
Reviewers' Company Size
Gemini
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
IBM watsonx.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
26.7%
Computer Software
13.6%
Marketing and Advertising
8.9%
Real Estate
4.2%
Higher Education
3.4%
Other
43.2%
Information Technology and Services
18.8%
Computer Software
11.6%
Consulting
7.1%
Financial Services
6.3%
Banking
6.3%
Other
50.0%
Alternatives
Discussions
Gemini has no discussions with answers
IBM watsonx.ai has no discussions with answers
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