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Compare Amazon SageMaker and Cloudera Data Engineering 
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At a Glance
Market Segments
Small-Business (33.3% of reviews)
Mid-Market (39.1% of reviews)
Entry-Level Pricing
No pricing available
No pricing available
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 SageMakerCloudera Data Engineering
Star Rating
(23)4.7 out of 5
Market Segments
Mid-Market (39.1% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Cloudera Data EngineeringSummary
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, while Cloudera Data Engineering shines in Model Development with a score of 9.4. Reviewers mention that SageMaker's pre-built algorithms are beneficial for quick deployment, but Cloudera's extensive feature engineering tools provide more flexibility for complex projects.
- Reviewers mention that Cloudera Data Engineering has superior Ease of Setup with a score of 9.7 compared to SageMaker's 8.4. Users on G2 appreciate Cloudera's streamlined onboarding process, which allows teams to get started quickly without extensive training.
- Users say that Cloudera Data Engineering offers better Data Ingestion & Wrangling features, scoring 9.4, while SageMaker scores 8.1. Reviewers highlight Cloudera's robust data pipeline integration, which simplifies the process of preparing data for analysis.
- G2 users report that Amazon SageMaker provides a more flexible Managed Service experience with a score of 9.5, compared to Cloudera's 9.1. Users appreciate SageMaker's ability to scale resources dynamically based on workload, which is crucial for handling varying data loads.
- Users on G2 mention that Cloudera Data Engineering excels in Quality of Support, scoring 9.3, while SageMaker scores 8.7. Reviewers frequently commend Cloudera's responsive customer service and comprehensive documentation, which help resolve issues quickly.
- Reviewers say that both platforms are strong in AI Multi-cloud Support, but Cloudera Data Engineering's integration capabilities are noted to be more extensive, allowing for seamless connections across various cloud environments, which is a significant advantage for organizations with diverse infrastructure needs.
Pricing
Entry-Level Pricing
Amazon SageMaker
No pricing availableCloudera Data Engineering
No pricing availableFree Trial
Amazon SageMaker
No trial information availableCloudera Data Engineering
No trial information availableRatings
Meets Requirements
8.6
37
9.2
23
Ease of Use
8.4
38
9.3
23
Ease of Setup
8.5
25
9.8
7
Ease of Admin
8.4
20
9.5
7
Quality of Support
8.6
33
9.2
22
Has the product been a good partner in doing business?
9.2
20
9.3
7
Product Direction (% positive)
9.0
36
10.0
23
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
9.5
16
Model Development
8.7
29
9.8
16
8.2
28
9.3
17
8.3
33
9.2
15
8.9
33
9.3
16
Model Development
8.4
19
9.2
15
Machine/Deep Learning Services
8.9
26
9.2
16
9.1
28
9.4
16
8.9
25
9.3
16
9.0
28
9.2
16
Machine/Deep Learning Services
9.2
17
9.6
15
9.2
18
9.6
14
Deployment
8.6
32
9.3
16
8.6
32
9.5
17
9.0
31
9.4
16
Generative AI
8.6
6
9.4
14
9.2
6
9.0
14
8.3
5
9.1
15
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 Cloudera Data Engineering 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
Cloudera Data Engineering has no unique categories
Reviews
Reviewers' Company Size
Amazon SageMaker
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Cloudera Data Engineering
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
26.1%
Computer Software
26.1%
Consulting
13.0%
Banking
8.7%
Program Development
4.3%
Other
21.7%
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
Cloudera Data Engineering has no discussions with answers
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