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Compare Amazon SageMaker and Qubole 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Enterprise (51.1% of reviews)
Entry-Level Pricing
No pricing available
30 day free trial
Amazon SageMaker
Star Rating
(45)4.3 out of 5
Market Segments
Small-Business (33.3% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about Amazon SageMakerQubole
Star Rating
(259)4.0 out of 5
Market Segments
Enterprise (51.1% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
30 day free trial
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- Users report that Qubole excels in Data Ingestion & Wrangling with a score of 9.0, making it a preferred choice for those needing robust data preparation capabilities. In contrast, Amazon SageMaker received a lower score of 8.1 in this area, indicating it may not be as strong in handling complex data workflows.
- Reviewers mention that Qubole's Drag and Drop feature is highly rated at 9.0, which simplifies the user experience for building data pipelines. Conversely, Amazon SageMaker's drag-and-drop functionality scored only 6.7, suggesting that users may find it less intuitive.
- G2 users highlight that Amazon SageMaker shines in Model Training, achieving a score of 8.9, which indicates its effectiveness in training machine learning models. Qubole, while competent, scored 8.1, suggesting that users may find SageMaker more efficient for this specific task.
- Users on G2 report that Amazon SageMaker offers superior AI Model Training Scalability with a score of 9.0, making it a better option for organizations looking to scale their AI initiatives. Qubole's scalability in this area is rated at 8.8, which, while good, may not meet the needs of larger enterprises as effectively.
- Reviewers mention that Qubole's Quality of Support is rated at 7.9, which is decent but falls short compared to Amazon SageMaker's impressive score of 8.7. This suggests that users may experience better support and resources when using SageMaker.
- Users say that Qubole's Deployment capabilities are rated at 8.6, which is solid, but Amazon SageMaker outperforms it with a score of 9.5, indicating a more seamless deployment experience for users looking to implement machine learning solutions quickly.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableQubole
Free Trial
30 day free trial
Free access to Qubole for 30 days to build data pipelines, bring machine learning to production, and analyze any data type from any data source. Get started today: https://www.qubole.com/free-trial/
Free Trial
Amazon SageMaker
No trial information availableQubole
Free Trial is available
Ratings
Meets Requirements
8.6
37
8.4
211
Ease of Use
8.4
38
7.8
212
Ease of Setup
8.5
25
7.6
60
Ease of Admin
8.4
20
7.6
58
Quality of Support
8.6
33
7.9
177
Has the product been a good partner in doing business?
9.2
20
8.1
61
Product Direction (% positive)
9.0
36
7.1
208
Features by Category
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
9.0
7
Model Development
8.7
29
7.9
7
8.2
28
6.7
5
8.3
33
8.0
5
8.9
33
8.1
6
Model Development
8.4
19
8.3
5
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
8.0
5
Deployment
8.6
32
9.0
5
8.6
32
8.3
6
9.0
31
8.8
7
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
Database
Not enough data
8.0
64
Not enough data
8.4
83
Not enough data
8.3
79
Integrations
Not enough data
8.6
81
Not enough data
8.6
87
Platform
Not enough data
8.3
72
Not enough data
8.3
82
Not enough data
8.6
87
Processing
Not enough data
8.5
85
Not enough data
8.3
82
Data Transformation
Not enough data
8.0
119
|
Verified
Not enough data
8.8
10
|
Verified
Connectivity
Not enough data
8.8
107
|
Verified
Not enough data
8.6
123
|
Verified
Not enough data
8.3
108
|
Verified
Not enough data
8.5
113
|
Verified
Operations
Not enough data
7.0
104
|
Verified
Not enough data
7.8
116
|
Verified
Not enough data
7.2
75
|
Verified
Not enough data
7.8
69
|
Verified
Not enough data
8.8
11
|
Verified
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 Qubole 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
Qubole is categorized as Big Data Processing and Distribution, Big Data Analytics, and Big Data Integration Platforms
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Qubole
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
19.4%
Information Technology and Services
14.3%
Marketing and Advertising
12.2%
Internet
6.8%
Leisure, Travel & Tourism
4.2%
Other
43.0%
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
1.What is the best way to pass external spark packages in Qubole Notebooks?;
2 Comments
RR
It give clarity about financial data which help at business level to expansion and cut down cost , to review apex and opex and budgeting prospectiveRead more
How do i integrate more charts or graphs in Qubole Notebooks in SQL for quick visualization
2 Comments
RR
we can create schma by using postman and multiple chart which to help to analysis the data and clarity about the decision making of further processRead more
How do I integrate elastic search with use of qubole in Tableau.
1 Comment
MP
Hi Manjul,
Difficult to answer without more details. Reach out to your Customer Success Manager or the Qubole administrators within your organization -...Read more
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