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At a Glance
Market Segments
Small-Business (41.0% of reviews)
Small-Business (50.0% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
No pricing available
Vertex 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 AIXGBoost
Star Rating
(13)4.4 out of 5
Market Segments
Small-Business (50.0% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about XGBoostSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Vertex AI excels in AI High Availability with a score of 9.2, which reviewers mention significantly enhances their operational reliability compared to XGBoost's lower performance in this area.
- Reviewers mention that XGBoost offers superior AI Inference Speed, scoring 8.6, which is crucial for real-time applications, while Vertex AI's performance in this metric is slightly lower, impacting its responsiveness.
- G2 users highlight that Vertex AI's integration capabilities are robust, scoring 8.5, allowing for seamless connections with various data sources, whereas XGBoost's integration score is lower, indicating potential challenges in this area.
- Users on G2 report that Vertex AI's model training capabilities are well-regarded, with a score of 8.5, providing a comprehensive suite of pre-built algorithms, while XGBoost also scores 8.5 but lacks some of the advanced features that Vertex AI offers.
- Reviewers mention that XGBoost shines in its ease of use, scoring 8.9, making it more accessible for beginners, while Vertex AI's score of 8.3 suggests a steeper learning curve for new users.
- Users say that Vertex AI's scalability is a strong point, with a score of 8.9, which reviewers mention is essential for growing businesses, while XGBoost's scalability score of 8.7 indicates it may not handle large-scale operations as effectively.
Pricing
Entry-Level Pricing
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
XGBoost
No pricing availableFree Trial
Vertex AI
Free Trial is available
XGBoost
No trial information availableRatings
Meets Requirements
8.6
359
9.2
11
Ease of Use
8.2
368
8.9
11
Ease of Setup
8.1
291
8.5
10
Ease of Admin
7.9
141
8.3
9
Quality of Support
8.1
335
7.6
9
Has the product been a good partner in doing business?
8.2
135
8.3
6
Product Direction (% positive)
9.2
353
6.5
10
Features by Category
Deployment
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
Not enough data
Deployment
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
Not enough data
Management
8.3
70
Not enough data
8.5
69
Not enough data
8.0
69
Not enough data
8.1
69
Not enough data
Operations
8.2
69
Not enough data
8.4
70
Not enough data
8.3
70
Not enough data
Management
8.1
68
Not enough data
8.4
69
Not enough data
8.3
68
Not enough data
Generative AI
8.2
34
Not enough data
8.4
34
Not enough data
System
8.2
170
Not enough data
Model Development
8.4
202
Not enough data
7.9
179
Not enough data
8.4
200
Not enough data
8.5
202
Not enough data
Model Development
8.2
165
Not enough data
Machine/Deep Learning Services
8.2
200
Not enough data
8.4
196
Not enough data
8.2
195
Not enough data
8.2
178
Not enough data
Machine/Deep Learning Services
8.5
165
Not enough data
8.4
163
Not enough data
Deployment
8.2
193
Not enough data
8.3
194
Not enough data
8.5
193
Not enough data
Generative AI
8.3
102
Not enough data
8.2
102
Not enough data
8.1
103
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
Not enough data
Scalability and Performance - Generative AI Infrastructure
8.9
28
Not enough data
8.6
28
Not enough data
8.5
28
Not enough data
Cost and Efficiency - Generative AI Infrastructure
8.2
28
Not enough data
7.8
28
Not enough data
7.9
28
Not enough data
Integration and Extensibility - Generative AI Infrastructure
8.4
28
Not enough data
8.1
28
Not enough data
8.3
28
Not enough data
Security and Compliance - Generative AI Infrastructure
8.6
28
Not enough data
8.5
28
Not enough data
8.9
28
Not enough data
Usability and Support - Generative AI Infrastructure
8.2
28
Not enough data
8.3
28
Not enough data
Integration - Machine Learning
8.5
67
Not enough data
Learning - Machine Learning
8.5
66
Not enough data
8.3
65
Not enough data
8.8
66
Not enough data
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
8.9
23
Not enough data
Prompt Engineering - Large Language Model Operationalization (LLMOps)
8.8
22
Not enough data
8.9
22
Not enough data
Inference Optimization - Large Language Model Operationalization (LLMOps)
8.8
22
Not enough data
Model Garden - Large Language Model Operationalization (LLMOps)
9.2
22
Not enough data
Custom Training - Large Language Model Operationalization (LLMOps)
9.0
22
Not enough data
Application Development - Large Language Model Operationalization (LLMOps)
9.2
22
Not enough data
Model Deployment - Large Language Model Operationalization (LLMOps)
9.1
22
Not enough data
8.7
21
Not enough data
Guardrails - Large Language Model Operationalization (LLMOps)
9.0
21
Not enough data
8.8
21
Not enough data
Model Monitoring - Large Language Model Operationalization (LLMOps)
8.7
21
Not enough data
9.0
21
Not enough data
Security - Large Language Model Operationalization (LLMOps)
9.1
22
Not enough data
8.9
22
Not enough data
Gateways & Routers - Large Language Model Operationalization (LLMOps)
8.9
22
Not enough data
Customization - AI Agent Builders
8.5
27
Not enough data
7.6
27
Not enough data
8.3
26
Not enough data
Functionality - AI Agent Builders
8.1
27
Not enough data
7.3
27
Not enough data
8.2
26
Not enough data
7.2
27
Not enough data
Data and Analytics - AI Agent Builders
7.7
25
Not enough data
7.9
27
Not enough data
8.0
27
Not enough data
Integration - AI Agent Builders
8.7
27
Not enough data
8.0
27
Not enough data
8.0
27
Not enough data
7.5
27
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
Vertex AI and XGBoost are categorized as Machine Learning
Unique Categories
XGBoost has no unique categories
Reviews
Reviewers' Company Size
Vertex AI
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
XGBoost
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
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%
Computer Software
25.0%
Financial Services
16.7%
Research
8.3%
Marketing and Advertising
8.3%
Information Technology and Services
8.3%
Other
33.3%
Alternatives
Discussions
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
XGBoost has no discussions with answers
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