Compare Amazon SageMaker and V7 
At a Glance
Market Segments
Small-Business (36.1% of reviews)
Small-Business (56.9% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon SageMaker
Star Rating
(39)4.2 out of 5
Market Segments
Small-Business (36.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerV7
Star Rating
(53)4.8 out of 5
Market Segments
Small-Business (56.9% of reviews)
Entry-Level Pricing
Free
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Amazon SageMaker excels in its Model Training Efficiency with a score of 8.9, while V7 shines with a perfect score of 10.0, particularly due to its Pre-Built Algorithms that streamline the model development process.
- Reviewers mention that V7's Collaboration features are top-notch, achieving a perfect score of 10.0, which enhances team productivity, whereas Amazon SageMaker's collaboration tools are rated lower, indicating room for improvement.
- G2 users highlight that V7 offers superior Human-in-the-Loop capabilities with a score of 9.4, making it easier to incorporate human feedback into the model training process, while Amazon SageMaker's score of 8.1 in Data Ingestion & Wrangling suggests it may require more manual effort.
- Users on G2 report that Amazon SageMaker's Quality of Support is rated at 8.7, which is commendable, but V7 outperforms it with a score of 9.6, indicating a more responsive and helpful support team.
- Reviewers mention that V7's Scalability is rated a perfect 10.0, making it an excellent choice for growing businesses, while Amazon SageMaker, although strong at 9.8, may not scale as seamlessly in certain scenarios.
- Users say that V7's Ease of Use is rated at 9.6, making it more user-friendly for beginners compared to Amazon SageMaker's score of 8.4, which may present a steeper learning curve for new users.
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Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableV7
Free Plan
Free
Try out the core functionalities and set up your workflow for free.
- 1 Workspace
- 10 User Licenses
- 3 Integrated Models
Free Trial
Amazon SageMaker
No trial information availableV7
Free Trial is available
Ratings
Meets Requirements
8.8
32
9.5
37
Ease of Use
8.4
32
9.6
37
Ease of Setup
8.4
19
9.7
16
Ease of Admin
8.4
18
9.4
15
Quality of Support
8.7
28
9.6
35
Has the product been a good partner in doing business?
9.3
18
9.9
14
Product Direction (% positive)
8.8
30
9.6
31
Features by Category
Deployment
Not enough data
Not enough data
Not enough data
9.4
6
Not enough data
9.7
5
Not enough data
9.0
7
Not enough data
9.8
7
Deployment
Not enough data
Not enough data
Not enough data
9.3
5
Not enough data
9.7
6
Not enough data
9.2
6
Not enough data
9.8
7
Management
Not enough data
9.3
5
Not enough data
10.0
6
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
9.7
6
Not enough data
Not enough data
Not enough data
10.0
6
Management
Not enough data
10.0
5
Not enough data
9.7
5
Not enough data
9.3
5
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
System
8.1
15
Not enough data
8.8
13
Not enough data
9.0
12
Not enough data
Model Development
8.9
25
Not enough data
8.3
24
Not enough data
8.4
29
10.0
5
8.9
29
10.0
5
Model Development
8.6
15
Not enough data
8.9
15
Not enough data
8.6
15
Not enough data
Machine/Deep Learning Services
9.2
22
10.0
5
9.0
24
Not enough data
8.8
21
Not enough data
9.0
24
10.0
5
Machine/Deep Learning Services
9.6
12
Not enough data
9.2
13
Not enough data
9.0
13
Not enough data
9.0
14
Not enough data
Deployment
8.8
28
10.0
5
8.6
28
10.0
5
9.0
27
10.0
5
Deployment
9.5
14
Not enough data
8.8
14
Not enough data
9.7
13
Not enough data
Generative AI
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Feature Not Available
Quality
Not enough data
9.4
20
Not enough data
9.5
23
Not enough data
9.3
20
Not enough data
9.4
21
Automation
Not enough data
9.3
15
Not enough data
9.5
13
Image Annotation
Not enough data
9.4
26
Not enough data
9.6
23
Not enough data
9.1
16
Not enough data
9.1
17
Natural Language Annotation
Not enough data
9.2
12
Not enough data
9.0
8
Not enough data
9.3
9
Speech Annotation
Not enough data
7.6
7
Not enough data
8.1
7
Recognition Type
Not enough data
Not enough data
Not enough data
9.6
8
Not enough data
9.7
5
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
9.3
5
Facial Recognition
Not enough data
10.0
5
Not enough data
Not enough data
Labeling
Not enough data
10.0
8
Not enough data
9.8
8
Not enough data
9.8
8
Deployment
Not enough data
Not enough data
Operating System
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Document Processing
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
Platform Additional Functionality
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Capture
Not enough data
Not enough data
Not enough data
Not enough data
Data Extraction
Not enough data
Not enough data
Not enough data
Not enough data
Data Validation
Not enough data
Not enough data
Workflow Automation
Not enough data
Not enough data
Not enough data
Not enough data
Document Management
Not enough data
Not enough data
Not enough data
Not enough data
Machine Learning
Not enough data
Not enough data
Natural Language Processing
Not enough data
Not enough data
Semantic Analysis
Not enough data
Not enough data
Data Integration
Not enough data
Not enough data
Security
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Security and Compliance - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Usability and Support - Generative AI Infrastructure
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Model Training & Optimization - Active Learning Tools
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 Management & Annotation - Active Learning Tools
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
Model Performance & Analysis - Active Learning Tools
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
Integration - Machine Learning
Not enough data
Not enough data
Learning - Machine Learning
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Amazon SageMaker and V7 are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as Generative AI Infrastructure
V7 is categorized as Active Learning Tools, Intelligent Document Processing (IDP), Data Labeling, OCR, Image Recognition, and Machine Learning
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
V7
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
19.4%
Computer Software
19.4%
Marketing and Advertising
5.6%
Internet
5.6%
Higher Education
5.6%
Other
44.4%
Information Technology and Services
25.5%
Computer Software
19.6%
Research
7.8%
Hospital & Health Care
5.9%
Industrial Automation
3.9%
Other
37.3%
Most Helpful Reviews
Amazon SageMaker
Most Helpful Favorable Review
Verified User in Computer Software
Sagemaker provides a platform for executing ML workflows well-integrated with other AWS services such as S3, Secrets Manager and Lambda etc.
Most Helpful Critical Review
Verified User in Information Services
It restricts the way I am willing to do my work.
V7
Most Helpful Favorable Review
Verified User in Computer & Network Security
It speeds up annotation. And it is really easy to get started
Most Helpful Critical Review
Verified User in Health, Wellness and Fitness
Large jump between Small and Medium pricing
Verified User in Computer Software
Sagemaker provides a platform for executing ML workflows well-integrated with other AWS services such as S3, Secrets Manager and Lambda etc.
Verified User in Computer & Network Security
It speeds up annotation. And it is really easy to get started
Verified User in Information Services
It restricts the way I am willing to do my work.
Verified User in Health, Wellness and Fitness
Large jump between Small and Medium pricing
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 comment
VJ
I'm sorry, but I can't assist with that request.Read more
How do i make this platform reach to most of my developers?
1 comment
VJ
you can manage the access via IAM users and roles and give them access as per their need, Sagemaker by default has all the basic AWS feature and you can...Read more
Amazon SageMaker has no more discussions with answers
V7 has no discussions with answers
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