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Compare Amazon SageMaker and Snowflake 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Enterprise (44.7% of reviews)
Entry-Level Pricing
No pricing available
$2 Compute/Hour
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 SageMakerSnowflake
Star Rating
(657)4.6 out of 5
Market Segments
Enterprise (44.7% of reviews)
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.
- Users report that Snowflake excels in data ingestion and wrangling with a score of 8.1, making it easier to prepare data for analysis compared to Amazon SageMaker, which has a lower score in this area. Reviewers mention that Snowflake's drag and drop feature simplifies the process significantly.
- Reviewers mention that Amazon SageMaker shines in model training with a score of 8.9, highlighting its robust capabilities for machine learning. In contrast, Snowflake's score for in-database machine learning is lower at 8.0, indicating that SageMaker may be a better choice for users focused on AI and ML development.
- G2 users report that Snowflake's query language is highly rated at 9.3, providing a powerful tool for data analysis. Users on G2 mention that this feature allows for complex queries that are essential for enterprise-level data operations, whereas SageMaker's capabilities in this area are not as emphasized.
- Users say that Amazon SageMaker offers superior pre-built algorithms with a score of 8.6, which can significantly speed up the development process for machine learning models. In comparison, Snowflake's offerings in this category are less comprehensive, with a score of 8.4.
- Reviewers mention that Snowflake's data security features, including data encryption and user access control, are rated highly at 9.2 and 9.1 respectively, making it a strong choice for organizations concerned about data protection. SageMaker also performs well in security but does not match Snowflake's ratings in these specific areas.
- Users report that Amazon SageMaker's AI model training scalability is rated at 9.0, which is crucial for businesses looking to scale their machine learning efforts. Snowflake, while strong in data management, does not provide the same level of scalability for AI model training, making SageMaker a more suitable option for those needs.
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
37
9.1
497
Ease of Use
8.4
38
9.0
533
Ease of Setup
8.5
25
8.9
318
Ease of Admin
8.4
20
8.6
202
Quality of Support
8.6
33
8.7
454
Has the product been a good partner in doing business?
9.2
20
9.0
203
Product Direction (% positive)
9.0
36
9.2
467
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
8.2
19
9.2
28
Model Development
8.7
29
9.1
27
8.2
28
8.5
27
8.3
33
8.3
27
8.9
33
8.7
27
Model Development
8.4
19
8.7
27
Machine/Deep Learning Services
8.9
26
8.6
27
9.1
28
8.6
27
8.9
25
8.4
27
9.0
28
8.4
26
Machine/Deep Learning Services
9.2
17
8.5
27
9.2
18
8.5
24
Deployment
8.6
32
9.1
28
8.6
32
9.0
27
9.0
31
9.3
27
Generative AI
8.6
6
8.4
25
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
13
Not enough data
8.2
12
Data Management
Not enough data
9.0
179
|
Verified
Not enough data
8.9
165
|
Verified
Not enough data
9.1
172
|
Verified
Not enough data
8.3
167
|
Verified
Not enough data
8.2
149
|
Verified
Not enough data
8.8
152
|
Verified
Integration
Not enough data
8.3
139
|
Verified
Not enough data
8.9
167
|
Verified
Not enough data
8.9
158
|
Verified
Deployment
Not enough data
7.8
139
|
Verified
Not enough data
9.3
171
|
Verified
Performance
Not enough data
9.3
174
|
Verified
Security
Not enough data
8.9
164
|
Verified
Not enough data
9.1
175
|
Verified
Generative AI
Not enough data
8.0
79
Not enough data
8.1
80
Management
Not enough data
8.9
83
Not enough data
9.2
83
Not enough data
9.5
88
Not enough data
9.0
86
Not enough data
9.1
87
Maintenance
Not enough data
9.3
85
Not enough data
9.0
84
Not enough data
9.3
85
Security
Not enough data
9.2
85
Not enough data
9.2
87
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
97
Not enough data
9.3
100
Not enough data
9.3
94
Integrations
Not enough data
8.6
76
Not enough data
8.7
81
Platform
Not enough data
9.1
91
Not enough data
9.0
97
Not enough data
8.7
81
Processing
Not enough data
9.3
95
Not enough data
9.1
94
Data Transformation
Not enough data
9.2
86
Not enough data
9.4
86
Connectivity
Not enough data
8.5
78
Not enough data
8.7
79
Not enough data
9.1
80
Not enough data
9.1
81
Operations
Not enough data
8.6
83
Not enough data
9.2
79
Not enough data
8.9
75
Not enough data
8.8
80
Not enough data
8.7
77
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
19.0%
Computer Software
16.7%
Marketing and Advertising
4.8%
Internet
4.8%
Hospital & Health Care
4.8%
Other
50.0%
Information Technology and Services
13.7%
Computer Software
13.0%
Financial Services
10.5%
Marketing and Advertising
4.8%
Hospital & Health Care
3.8%
Other
54.3%
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
What is the difference between Snowflake vs Redshift? Which one is Good to Learn.
2 Comments
DW
I've used both; Snowflake is superior in my view. Redshift certainly offers a lot of power being an AWS product, however Snowflake is more fully-featured....Read more
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