Compare Amazon SageMaker and Snowflake 
Featured Products
At a Glance
Market Segments
Enterprise (34.9% of reviews)
Enterprise (44.4% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
Amazon SageMaker
Star Rating
(48)4.2 out of 5
Market Segments
Enterprise (34.9% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerSnowflake
Star Rating
(695)4.6 out of 5
Market Segments
Enterprise (44.4% of reviews)
Pros & Cons
Entry-Level Pricing
$2 Compute/Hour
Free Trial is available
Browse all 4 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Snowflake excels in user satisfaction, with a significantly higher overall rating compared to Amazon SageMaker. Users appreciate its ability to make advanced data warehousing simple and scalable, highlighting the platform's intuitive SQL query implementation and user-friendly layout.
- According to verified reviews, Snowflake's implementation process is praised for its speed and ease, with users noting that it requires minimal infrastructure work. In contrast, Amazon SageMaker, while offering a comprehensive machine learning lifecycle, has received mixed feedback regarding its setup, with some users finding it less straightforward.
- Reviewers mention that Snowflake's architecture is particularly well-suited for cloud data management, which contributes to its high satisfaction scores. Users have noted that it allows for efficient data pulling and cleaning, making it a preferred choice for enterprises looking for robust data solutions.
- Users say that Amazon SageMaker provides excellent end-to-end support for machine learning projects, integrating data preparation, model building, and deployment seamlessly. However, some users feel that it may not be as user-friendly as Snowflake, particularly for those new to machine learning.
- Reviewers highlight Snowflake's strong performance in scalability and data ingestion, with many noting its ability to handle large datasets efficiently. This is a key advantage for enterprises that require reliable and fast data processing capabilities, whereas Amazon SageMaker's performance in these areas is seen as adequate but not exceptional.
- According to recent user feedback, both platforms have their strengths in specific features, with Snowflake receiving high marks for its data wrangling capabilities and Amazon SageMaker being recognized for its model training and deployment features. However, Snowflake's overall user experience and support quality seem to give it an edge in everyday usability.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableSnowflake
Standard
$2
Compute/Hour
Compute usage is billed on a per-second basis, with a minimum of 60 seconds. You can secure price discounts with pre-purchased Snowflake capacity options.
- Complete SQL Data Warehouse
- Secure Data Sharing across regions / clouds
- Premier Support 24 x 365
Free Trial
Amazon SageMaker
No trial information availableSnowflake
Free Trial is available
Ratings
Meets Requirements
8.6
38
9.1
528
Ease of Use
8.4
39
9.0
564
Ease of Setup
8.5
26
8.9
349
Ease of Admin
8.4
20
8.7
213
Quality of Support
8.6
34
8.7
484
Has the product been a good partner in doing business?
9.2
20
9.0
215
Product Direction (% positive)
9.1
37
9.2
497
Features by Category
Deployment
Not enough data
9.2
12
Not enough data
8.9
12
Not enough data
9.0
12
Not enough data
9.3
12
Not enough data
9.3
12
Deployment
Not enough data
9.3
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.5
10
Not enough data
9.3
10
Management
Not enough data
9.2
12
Not enough data
9.0
12
Not enough data
9.2
12
Not enough data
9.0
12
Operations
Not enough data
8.8
10
Not enough data
8.8
10
Not enough data
9.5
10
Management
Not enough data
9.2
10
Not enough data
9.3
9
Not enough data
9.0
10
Generative AI
Not enough data
8.7
10
Not enough data
8.3
10
System
8.3
20
9.2
28
Model Development
8.7
29
9.1
30
8.2
28
8.5
28
8.3
33
8.2
28
8.9
33
8.7
29
Model Development
8.4
19
8.7
27
Machine/Deep Learning Services
8.9
26
8.5
28
9.1
28
8.5
28
8.9
25
8.3
28
9.0
28
8.3
27
Machine/Deep Learning Services
9.2
17
8.5
27
9.2
18
8.5
24
Deployment
8.7
33
9.1
30
8.7
33
9.0
27
9.0
31
9.2
29
Generative AI
8.6
6
8.5
26
9.2
6
8.3
25
8.3
5
8.5
25
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
8.2
13
Not enough data
8.2
13
Not enough data
8.3
13
Not enough data
8.5
13
Not enough data
8.2
13
Not enough data
8.3
14
Not enough data
8.2
13
Data Management
Not enough data
9.0
192
|
Verified
Not enough data
8.9
173
|
Verified
Not enough data
9.0
180
|
Verified
Not enough data
8.3
177
|
Verified
Not enough data
8.2
155
|
Verified
Not enough data
8.7
158
|
Verified
Integration
Not enough data
8.3
148
|
Verified
Not enough data
8.9
181
|
Verified
Not enough data
8.9
163
|
Verified
Deployment
Not enough data
7.7
142
|
Verified
Not enough data
9.3
188
|
Verified
Performance
Not enough data
9.3
192
|
Verified
Security
Not enough data
8.9
176
|
Verified
Not enough data
9.1
184
|
Verified
Generative AI
Not enough data
7.9
81
Not enough data
8.1
81
Management
Not enough data
8.9
84
Not enough data
9.1
84
Not enough data
9.4
91
Not enough data
9.0
88
Not enough data
9.1
89
Maintenance
Not enough data
9.3
87
Not enough data
9.0
85
Not enough data
9.3
89
Security
Not enough data
9.2
86
Not enough data
9.3
89
Storage
Not enough data
9.2
44
Not enough data
9.2
44
Availability
Not enough data
9.1
39
Not enough data
9.2
37
Not enough data
9.2
41
Performance
Not enough data
9.2
44
Security
Not enough data
9.1
44
Not enough data
9.2
45
Not enough data
8.9
38
Not enough data
9.2
38
Support
Not enough data
9.2
36
Not enough data
9.1
35
Centralized computation
Not enough data
9.3
25
Localized computation
Not enough data
9.0
24
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
Database
Not enough data
8.9
98
Not enough data
9.3
101
Not enough data
9.3
95
Integrations
Not enough data
8.6
76
Not enough data
8.7
81
Platform
Not enough data
9.1
92
Not enough data
9.0
97
Not enough data
8.7
81
Processing
Not enough data
9.3
97
Not enough data
9.1
95
Data Transformation
Not enough data
9.2
87
Not enough data
9.4
88
Connectivity
Not enough data
8.5
78
Not enough data
8.7
79
Not enough data
9.1
81
Not enough data
9.1
81
Operations
Not enough data
8.6
84
Not enough data
9.2
79
Not enough data
8.9
76
Not enough data
8.8
80
Not enough data
8.7
78
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
Categories
Categories
Shared Categories
Amazon SageMaker and Snowflake are categorized as MLOps Platforms and Data Science and Machine Learning Platforms
Unique Categories
Amazon SageMaker is categorized as Generative AI Infrastructure and Low-Code Machine Learning Platforms
Snowflake is categorized as Data Clean Room, Columnar Databases, Big Data Integration Platforms, Big Data Processing and Distribution, Big Data Analytics, Database Management Systems (DBMS), and Data Warehouse
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Snowflake
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
20.9%
Computer Software
16.3%
Marketing and Advertising
4.7%
Internet
4.7%
Education Management
4.7%
Other
48.8%
Information Technology and Services
15.0%
Computer Software
13.4%
Financial Services
10.2%
Marketing and Advertising
4.7%
Hospital & Health Care
3.6%
Other
53.1%
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's the best way to manage change data capture in Snowflake?
4 Comments
VT
Please go through this link: https://docs.snowflake.com/en/user-guide/streams
You might get a pertinent response from it.
Please click on this link...Read more
which is best snowflake or My sql
2 Comments
LH
Depends on your needs. MySQL is open source/free. It or Postgres (another open source db) is good for pretty much any normal need. You can install on...Read more
Snowflake - how to connect to Snowflake using NodeJS
2 Comments
DW
Does this help? https://www.ameexusa.com/blogs/connecting-node-js-snowflakeRead more
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