Compare OriginPro and Vertex AI 
Featured Products
At a Glance
Market Segments
Enterprise (45.7% of reviews)
Small-Business (42.0% of reviews)
Entry-Level Pricing
No pricing available
Pay As You Go Per Month
OriginPro
Star Rating
(142)4.7 out of 5
Market Segments
Enterprise (45.7% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Free Trial is available
Learn more about OriginProVertex AI
Star Rating
(652)4.3 out of 5
Market Segments
Small-Business (42.0% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Learn more about Vertex AIOriginPro vs Vertex AI
When assessing the two solutions, reviewers found OriginPro easier to use, set up, and administer. Reviewers also preferred doing business with OriginPro overall.
- Reviewers felt that OriginPro meets the needs of their business better than Vertex AI.
- When comparing quality of ongoing product support, reviewers felt that OriginPro is the preferred option.
- For feature updates and roadmaps, our reviewers preferred the direction of Vertex AI over OriginPro.
Pricing
Entry-Level Pricing
OriginPro
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
OriginPro
Free Trial is available
Vertex AI
No trial information availableRatings
Meets Requirements
9.1
107
8.6
389
Ease of Use
8.5
111
8.2
400
Ease of Setup
8.7
40
8.1
322
Ease of Admin
9.3
14
7.9
149
Quality of Support
9.2
100
8.1
364
Has the product been a good partner in doing business?
9.4
14
8.3
143
Product Direction (% positive)
8.0
107
9.2
383
Features by Category
Reports
8.3
29
Not enough data
8.0
28
Not enough data
9.3
32
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Self Service
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
Advanced Analytics
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
Not enough data
Not enough data
Not enough data
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
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
Reports
8.3
29
Not enough data
8.0
28
Not enough data
9.3
32
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Reports
7.5
27
Not enough data
7.4
26
Not enough data
Feature Not Available
Not enough data
Generative AI
5.8
20
Not enough data
5.9
20
Not enough data
Visualization
9.4
28
Not enough data
Feature Not Available
Not enough data
7.7
25
Not enough data
8.7
27
Not enough data
Data Updates
7.5
25
Not enough data
7.4
24
Not enough data
Collaboration
8.0
26
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Data Updates
7.5
25
Not enough data
7.7
25
Not enough data
7.2
24
Not enough data
Administration
7.6
30
Not enough data
Feature Not Available
Not enough data
7.9
62
Not enough data
Capabilities
9.3
85
Not enough data
8.3
55
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Methodology
8.6
55
Not enough data
9.0
68
Not enough data
8.8
35
Not enough data
Generative AI
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Deployment
Not enough data
8.4
76
Not enough data
8.1
78
Not enough data
8.3
76
Not enough data
8.4
76
Not enough data
8.8
75
Deployment
Not enough data
8.5
75
Not enough data
8.3
73
Not enough data
8.4
72
Not enough data
8.6
74
Not enough data
8.7
71
Management
Not enough data
8.2
71
Not enough data
8.5
73
Not enough data
8.0
71
Not enough data
8.1
70
Operations
Not enough data
8.2
70
Not enough data
8.5
71
Not enough data
8.3
71
Management
Not enough data
8.1
69
Not enough data
8.4
72
Not enough data
8.3
70
Generative AI
Not enough data
8.4
37
Not enough data
8.6
37
Calculating
8.8
8
Not enough data
9.0
8
Not enough data
Insights
8.8
8
Not enough data
8.3
8
Not enough data
Editing
7.9
8
Not enough data
Feature Not Available
Not enough data
8.1
8
Not enough data
Functionality
8.1
7
Not enough data
Feature Not Available
Not enough data
7.9
8
Not enough data
7.6
7
Not enough data
System
Not enough data
8.2
173
Model Development
Not enough data
8.5
208
Not enough data
7.9
181
Not enough data
8.4
206
Not enough data
8.5
209
Model Development
Not enough data
8.2
167
Machine/Deep Learning Services
Not enough data
8.3
203
Not enough data
8.5
202
Not enough data
8.2
200
Not enough data
8.3
181
Machine/Deep Learning Services
Not enough data
8.5
167
Not enough data
8.5
166
Deployment
Not enough data
8.3
213
Not enough data
8.3
203
Not enough data
8.6
207
Generative AI
Not enough data
8.3
110
Not enough data
8.3
106
Not enough data
8.1
105
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.1
38
Not enough data
7.8
37
Not enough data
7.7
38
Not enough data
7.9
35
Not enough data
8.5
37
Not enough data
7.5
36
Not enough data
7.7
36
Scalability and Performance - Generative AI Infrastructure
Not enough data
9.0
31
Not enough data
8.7
32
Not enough data
8.6
31
Cost and Efficiency - Generative AI Infrastructure
Not enough data
8.0
34
Not enough data
7.7
31
Not enough data
8.1
30
Integration and Extensibility - Generative AI Infrastructure
Not enough data
8.5
30
Not enough data
8.3
32
Not enough data
8.5
31
Security and Compliance - Generative AI Infrastructure
Not enough data
8.7
30
Not enough data
8.3
32
Not enough data
8.9
30
Usability and Support - Generative AI Infrastructure
Not enough data
8.2
31
Not enough data
8.5
31
Integration - Machine Learning
Not enough data
8.5
68
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
9.0
26
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
24
Not enough data
9.0
24
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
8.8
22
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
9.3
25
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
24
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
9.2
23
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
9.0
23
Not enough data
8.7
22
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
23
Not enough data
8.9
22
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
8.7
21
Not enough data
9.1
22
Security - Large Language Model Operationalization (LLMOps)
Not enough data
9.1
22
Not enough data
9.0
23
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
8.9
22
Customization - AI Agent Builders
Not enough data
8.6
28
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
7.8
26
Not enough data
7.9
27
Not enough data
8.1
28
Integration - AI Agent Builders
Not enough data
8.8
28
Not enough data
8.2
30
Not enough data
8.1
28
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
OriginPro and Vertex AI share no categories
Unique Categories
Reviews
Reviewers' Company Size
OriginPro
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
Research
32.6%
Higher Education
13.8%
Biotechnology
7.2%
Chemicals
6.5%
Nanotechnology
4.3%
Other
35.5%
Computer Software
17.9%
Information Technology and Services
14.3%
Financial Services
6.8%
Retail
3.6%
Hospital & Health Care
3.3%
Other
54.1%
Alternatives
Discussions
how can we plot multiple plots at same time from different workbook
1 Comment
DK
Drag and drop data from other workbooks to existing graphRead more
How do you analyze data from Origin?
1 Comment
N1
It depends on what data you have. I generally use it for my PhD work. Like A-Z data plotting is done by only Origin. You can plot graphs, colourimetry...Read more
What is OriginPro used for?
1 Comment
N1
For plotting research data in various analytical methodsRead more
What is Google Cloud AI Platform used for?
3 Comments
AO
Vertex AI is Google Cloud’s managed machine learning platform. It’s used to build, train, and deploy ML models at scale. It unifies data, AutoML, and custom...Read more
What software libraries does cloud ML engine support?
3 Comments
AO
Cloud ML Engine (now part of Vertex AI) supports popular ML frameworks and libraries such as TensorFlow, PyTorch, Scikit‑learn, and XGBoost. This flexibility...Read more
What is Google AI platform?
2 Comments
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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