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Compare Amazon SageMaker and neptune.ai 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Mid-Market (42.6% of reviews)
Entry-Level Pricing
No pricing available
Free
Amazon SageMaker
Star Rating
(46)4.2 out of 5
Market Segments
Small-Business (33.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerneptune.ai
Star Rating
(54)4.6 out of 5
Market Segments
Mid-Market (42.6% of reviews)
Pros & Cons
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 Managed Service capabilities, with a score of 8.8, making it a reliable choice for businesses looking for a comprehensive solution. In contrast, neptune.ai shines with a higher score of 9.5, indicating a more robust managed service experience that users appreciate for its ease of use and deployment.
- Reviewers mention that SageMaker's Quality of Support is rated at 8.7, which is commendable, but neptune.ai significantly outperforms it with a score of 9.7. Users on G2 highlight the responsiveness and helpfulness of neptune.ai's support team, making it a preferred choice for those needing assistance.
- G2 users indicate that both platforms offer strong Model Training capabilities, scoring 8.9 for SageMaker and 8.9 for neptune.ai. However, users report that neptune.ai provides a more intuitive interface for Feature Engineering, scoring 8.6, which enhances the overall user experience during model development.
- Users say that SageMaker's Ease of Setup is rated at 8.4, which is decent, but neptune.ai outshines it with a score of 9.4. Reviewers mention that the streamlined setup process of neptune.ai allows for quicker onboarding, making it more appealing for new users.
- Reviewers mention that both products have strong Scalability features, with SageMaker scoring 8.8 and neptune.ai scoring 9.7. Users report that neptune.ai's scalability is particularly impressive, allowing for seamless growth as project demands increase.
- Users on G2 highlight that while both platforms support Natural Language Processing well, with SageMaker scoring 9.0 and neptune.ai scoring 9.2, neptune.ai's additional features in Natural Language Understanding (9.2) provide a more comprehensive toolkit for developers focused on language-based applications.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableneptune.ai
Free (Cloud SaaS)
Free
For teams starting out with experiment tracking
- Up to 3 users
- 1 workspace
- 1 project
Free Trial
Amazon SageMaker
No trial information availableneptune.ai
Free Trial is available
Ratings
Meets Requirements
8.6
37
8.4
48
Ease of Use
8.4
38
9.1
52
Ease of Setup
8.5
25
9.2
32
Ease of Admin
8.4
20
8.8
10
Quality of Support
8.6
33
9.6
45
Has the product been a good partner in doing business?
9.2
20
8.7
10
Product Direction (% positive)
9.0
36
9.5
48
Features by Category
Deployment
Not enough data
8.7
36
Not enough data
9.3
38
Not enough data
9.0
39
Not enough data
Feature Not Available
Not enough data
8.9
33
Deployment
Not enough data
8.5
34
Not enough data
9.1
34
Not enough data
9.0
35
Not enough data
Feature Not Available
Not enough data
8.8
34
Management
Not enough data
8.5
34
Not enough data
9.1
37
Not enough data
8.3
33
Not enough data
8.2
34
Operations
Not enough data
8.3
32
Not enough data
Feature Not Available
Not enough data
9.2
32
Management
Not enough data
8.2
29
Not enough data
9.0
30
Not enough data
8.5
29
Generative AI
Not enough data
Feature Not Available
Not enough data
Feature Not Available
System
8.2
19
Not enough data
Model Development
8.7
29
Not enough data
8.2
28
Not enough data
8.3
33
Not enough data
8.9
33
Not enough data
Model Development
8.4
19
Not enough data
Machine/Deep Learning Services
8.9
26
Not enough data
9.1
28
Not enough data
8.9
25
Not enough data
9.0
28
Not enough data
Machine/Deep Learning Services
9.2
17
Not enough data
9.2
18
Not enough data
Deployment
8.6
32
Not enough data
8.6
32
Not enough data
9.0
31
Not enough data
Generative AI
8.6
6
Not enough data
9.2
6
Not enough data
8.3
5
Not enough data
Agentic AI - Data Science and Machine Learning Platforms
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
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 neptune.ai are categorized as MLOps Platforms
Unique Categories
Amazon SageMaker is categorized as Data Science and Machine Learning Platforms, Generative AI Infrastructure, and Low-Code Machine Learning Platforms
neptune.ai has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
neptune.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
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Computer Software
27.8%
Research
9.3%
Insurance
9.3%
Biotechnology
9.3%
Program Development
5.6%
Other
38.9%
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
What are the MLOps tools?
1 Comment
YT
Common tools are DVC for data versioning, ClearML, AWS Sage Maker, Neptune and Qwak for experiment management, Aporia for model monitoring. Some tools are...Read more
neptune.ai has no more discussions with answers
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