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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Mid-Market (60.3% of reviews)
Entry-Level Pricing
No pricing available
Free Per Month
Amazon SageMaker
Star Rating
(45)4.3 out of 5
Market Segments
Small-Business (33.3% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerHex
Star Rating
(294)4.5 out of 5
Market Segments
Mid-Market (60.3% of reviews)
Entry-Level Pricing
Free Per Month
Free Trial is available
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 capabilities, with a score of 8.9, making it a preferred choice for those focused on developing robust machine learning models. In contrast, Hex's score of 5.9 indicates a significant gap in this area, leading reviewers to express concerns about its model training efficiency.
- Reviewers mention that Amazon SageMaker offers superior Scalability with a score of 9.0, allowing businesses to handle large datasets and complex models effectively. Hex, with a score of 7.5, falls short in this aspect, which users say can limit its usability for larger projects.
- G2 users highlight the Ease of Deployment in Amazon SageMaker, scoring 9.5, which reviewers say simplifies the process of getting models into production. Hex, on the other hand, scores only 7.2, leading users to report challenges in deploying their applications smoothly.
- Users on G2 appreciate Amazon SageMaker's Language Support with a score of 8.8, which reviewers say enhances its versatility for diverse projects. In contrast, Hex's score of 7.0 suggests limitations in this area, prompting users to seek additional resources for language compatibility.
- Reviewers mention that Amazon SageMaker's Pre-Built Algorithms score of 8.4 provides a significant advantage for users looking to leverage existing solutions quickly. Hex's lower score of 6.0 indicates a lack of robust pre-built options, which users say can hinder rapid development.
- Users report that Amazon SageMaker's Quality of Support is rated at 8.7, with many reviewers praising the responsiveness and helpfulness of the support team. In contrast, Hex's score of 8.6, while still good, does not match the level of support that users have come to expect from SageMaker.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableHex
Community
Free
Per Month
The free version of Hex. Great for individuals.
- Up to 3 project authors
- 7-day project version history
- Project data connections & secrets
Free Trial
Amazon SageMaker
No trial information availableHex
Free Trial is available
Ratings
Meets Requirements
8.6
37
8.5
258
Ease of Use
8.4
38
8.7
266
Ease of Setup
8.5
25
8.9
152
Ease of Admin
8.4
20
9.0
47
Quality of Support
8.6
33
8.5
187
Has the product been a good partner in doing business?
9.2
20
9.1
50
Product Direction (% positive)
9.0
36
9.3
262
Features by Category
Reports
Not enough data
8.2
208
Not enough data
7.6
201
Not enough data
7.5
216
Not enough data
7.2
193
Not enough data
8.1
205
Self Service
Not enough data
7.7
204
Not enough data
8.1
207
Not enough data
7.9
204
Not enough data
7.2
202
Not enough data
8.3
209
Not enough data
6.1
184
Advanced Analytics
Not enough data
6.5
186
Not enough data
7.9
205
Not enough data
7.0
189
Building Reports
Not enough data
8.0
186
Not enough data
7.8
181
Not enough data
7.5
175
Not enough data
7.0
163
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
Not enough data
8.2
208
Not enough data
7.6
201
Not enough data
7.5
216
Not enough data
7.2
193
Not enough data
8.1
205
Data Preparation
Not enough data
8.0
160
Not enough data
Feature Not Available
Data Modeling and Blending
Not enough data
8.7
171
Not enough data
8.3
170
Not enough data
8.3
161
Generative AI
Not enough data
6.1
94
Not enough data
6.0
92
Agentic AI - Analytics Platforms
Not enough data
6.2
30
Not enough data
6.3
29
Not enough data
6.8
29
Not enough data
6.4
28
Not enough data
6.4
29
Not enough data
6.3
28
Not enough data
7.0
27
Self Service
Not enough data
7.7
204
Not enough data
8.1
207
Not enough data
7.9
204
Not enough data
7.2
202
Not enough data
8.3
209
Not enough data
6.1
184
Deployment & Integration - Analytics Platforms
Not enough data
6.9
26
Not enough data
7.4
28
Not enough data
6.9
26
Not enough data
7.6
27
Advanced Analytics
Not enough data
6.5
186
Not enough data
7.9
205
Not enough data
7.0
189
Performance & Scalability - Analytics Platforms
Not enough data
7.1
29
Not enough data
7.2
27
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
7.1
27
Not enough data
7.9
30
Not enough data
6.3
27
Agentic AI Capabilities - Analytics Platforms
Not enough data
6.7
27
Not enough data
7.0
28
Not enough data
6.7
27
Not enough data
6.5
25
Personalized Intelligence - Analytics Platforms
Not enough data
6.5
26
Not enough data
6.2
26
Not enough data
6.7
26
Building Reports
Not enough data
8.0
186
Not enough data
7.8
181
Not enough data
7.5
175
Not enough data
7.0
163
Reports
Not enough data
8.2
208
Not enough data
7.6
201
Not enough data
7.5
216
Not enough data
7.2
193
Not enough data
8.1
205
Self Service
Not enough data
7.7
204
Not enough data
8.1
207
Not enough data
7.9
204
Not enough data
7.2
202
Not enough data
8.3
209
Not enough data
6.1
184
Building Reports
Not enough data
8.0
186
Not enough data
7.8
181
Not enough data
7.5
175
Not enough data
7.0
163
Functionality
Not enough data
8.6
60
Not enough data
6.9
56
Not enough data
7.4
47
Not enough data
7.4
54
Not enough data
8.7
57
Not enough data
7.5
57
Not enough data
7.9
52
Deployment
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
Deployment
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
Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Management
Not enough data
Not enough data
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
System
8.2
19
8.0
90
Model Development
8.7
29
7.3
86
8.2
28
7.0
93
8.3
33
5.5
87
8.9
33
5.5
89
Model Development
8.4
19
5.9
79
Machine/Deep Learning Services
8.9
26
4.4
81
9.1
28
5.1
84
8.9
25
4.8
82
9.0
28
4.5
80
Machine/Deep Learning Services
9.2
17
5.1
69
9.2
18
5.0
70
Deployment
8.6
32
6.9
85
8.6
32
7.0
84
9.0
31
6.7
85
Generative AI
8.6
6
5.7
40
9.2
6
5.7
40
8.3
5
4.3
40
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
5.3
10
Not enough data
5.7
10
Not enough data
7.0
10
Not enough data
4.7
10
Not enough data
5.7
10
Not enough data
5.8
10
Not enough data
5.7
10
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
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
Amazon SageMaker and Hex are categorized as Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as MLOps Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
Hex is categorized as Python Integrated Development Environments (IDE), Embedded Business Intelligence, and Analytics Platforms
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Hex
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
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Computer Software
22.1%
Information Technology and Services
19.9%
Financial Services
11.8%
Hospital & Health Care
4.4%
Marketing and Advertising
3.3%
Other
38.6%
Alternatives
Discussions
What is the best way to integrate Sagemaker models with Kubernetes?
1 Comment
VJ
https://aws.amazon.com/blogs/machine-learning/introducing-amazon-sagemaker-operators-for-kubernetes/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
Hex has no discussions with answers
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