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Compare Microsoft Fabric and Vertex AI 
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At a Glance
Market Segments
Enterprise (55.6% of reviews)
Small-Business (41.1% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
Microsoft Fabric
Star Rating
(18)4.6 out of 5
Market Segments
Enterprise (55.6% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Microsoft FabricVertex AI
Star Rating
(591)4.3 out of 5
Market Segments
Small-Business (41.1% 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.
- G2 reviewers report that Vertex AI excels in user satisfaction, boasting a significantly higher overall score compared to Microsoft Fabric. Users appreciate its intuitive design, which makes navigating AI development tasks feel effortless, as highlighted by feedback on its seamless transition from experimentation to production pipelines.
- According to verified reviews, Microsoft Fabric shines with its unified platform that integrates various services like Data Factory and Power BI. Users find this integration reduces data movement and enhances efficiency, making it a strong choice for data engineering and business intelligence projects.
- Reviewers mention that Vertex AI's ease of use is a standout feature, with many users praising its simplicity and effectiveness in handling machine learning models. This ease of use is particularly beneficial for those new to AI development, as it allows for a smoother learning curve.
- Users say that while Microsoft Fabric offers a comprehensive suite of features, it may not be as user-friendly as Vertex AI. Some users have noted that the complexity of its tools can be overwhelming, despite the platform's robust capabilities for data management and analytics.
- G2 reviewers highlight that Vertex AI's strong support and community engagement contribute to a positive user experience. Users have expressed satisfaction with the quality of support, which enhances their ability to troubleshoot and optimize their machine learning workflows.
- According to recent feedback, Microsoft Fabric's focus on enterprise solutions is evident, with many users from larger organizations appreciating its scalability and governance features. However, this focus may make it less appealing for small businesses looking for a more straightforward, cost-effective solution.
Pricing
Entry-Level Pricing
Microsoft Fabric
No pricing availableVertex 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
Microsoft Fabric
No trial information availableVertex AI
Free Trial is available
Ratings
Meets Requirements
9.3
18
8.6
358
Ease of Use
9.0
18
8.2
367
Ease of Setup
9.0
7
8.1
290
Ease of Admin
Not enough data
7.9
141
Quality of Support
9.1
18
8.1
334
Has the product been a good partner in doing business?
Not enough data
8.2
135
Product Direction (% positive)
10.0
18
9.2
352
Features by Category
Deployment
8.9
16
8.3
73
8.9
16
8.1
74
8.8
16
8.3
74
8.9
16
8.3
70
9.2
16
8.8
70
Deployment
9.0
16
8.4
73
9.3
16
8.3
72
9.2
16
8.4
71
9.2
16
8.5
71
9.3
16
8.7
69
Management
8.8
15
8.3
70
8.9
16
8.5
69
9.0
15
8.0
69
9.0
15
8.1
69
Operations
9.0
16
8.2
69
9.0
16
8.4
70
9.1
16
8.3
70
Management
8.6
16
8.1
68
8.7
15
8.4
69
8.7
15
8.3
68
Generative AI
8.1
14
8.2
34
8.2
14
8.4
34
System
Not enough data
8.2
170
Model Development
Not enough data
8.4
202
Not enough data
7.9
179
Not enough data
8.4
200
Not enough data
8.5
202
Model Development
Not enough data
8.2
165
Machine/Deep Learning Services
Not enough data
8.2
200
Not enough data
8.4
196
Not enough data
8.2
195
Not enough data
8.2
178
Machine/Deep Learning Services
Not enough data
8.5
165
Not enough data
8.4
163
Deployment
Not enough data
8.2
193
Not enough data
8.3
194
Not enough data
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
Categories
Categories
Shared Categories
Microsoft Fabric and Vertex AI are categorized as MLOps Platforms
Unique Categories
Microsoft Fabric has no unique categories
Reviews
Reviewers' Company Size
Microsoft Fabric
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
16.7%
Education Management
16.7%
Manufacturing
11.1%
Electrical/Electronic Manufacturing
11.1%
Consulting
5.6%
Other
38.9%
Computer Software
17.5%
Information Technology and Services
13.9%
Financial Services
7.0%
Retail
3.8%
Hospital & Health Care
3.4%
Other
54.3%
Alternatives
Discussions
Microsoft Fabric has no 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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