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# Amazon SageMaker vs Red Hat OpenShift Data Science Comparison - What are their main differences?

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Amazon SageMakerRed Hat OpenShift Data Science[+ Add Product](#)

Pricing

**Amazon SageMaker**
No pricing available

**Red Hat OpenShift Data Science**
No pricing available

**Pricing Insights**
from reviews

Time to Implement

**Amazon SageMaker**
2 months

Based on 5 responses

**Red Hat OpenShift Data Science**
Not enough reviews yet

Return on Investment

**Amazon SageMaker**
Not enough reviews yet

**Red Hat OpenShift Data Science**
Not enough reviews yet

Perceived Cost

**Amazon SageMaker**
$$$$$

**Red Hat OpenShift Data Science**
Not enough reviews yet

Average Discount

**Amazon SageMaker**
Not enough reviews yet

**Red Hat OpenShift Data Science**
Not enough reviews yet

 ![Amazon SageMaker](https://images.g2crowd.com/uploads/product/hd_favicon/1528476472/amazon-sagemaker.svg "Amazon SageMaker")

 ![Red Hat OpenShift Data Science](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0957250e66d0bd9ef389ec04088ec094/red-hat-openshift-data-science.png "Red Hat OpenShift Data Science")

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**Pros & Cons**
from reviews

**Amazon SageMaker**
[
Ease of Use (3)
](https://www.g2.com/products/amazon-sagemaker/reviews?filters%5Bsentiment_snippet%5D=2396688&qs=pros-and-cons#reviews)[
AI Integration (2)
](https://www.g2.com/products/amazon-sagemaker/reviews?filters%5Bsentiment_snippet%5D=1146439&qs=pros-and-cons#reviews)[
Expensive (3)
](https://www.g2.com/products/amazon-sagemaker/reviews?filters%5Bsentiment_snippet%5D=1147244&qs=pros-and-cons#reviews)[
Complexity (2)
](https://www.g2.com/products/amazon-sagemaker/reviews?filters%5Bsentiment_snippet%5D=2087963&qs=pros-and-cons#reviews)

**Red Hat OpenShift Data Science**
Not enough data

Integrations

**Amazon SageMaker**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_b3390b4cc3d92e87d570895f7358c003/amazon-redshift.jpg "Product Avatar Image")

Amazon Redshift

](https://www.g2.com/products/amazon-redshift/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_cacdec8b8edeace9b3c89e0c2cded695/amazon-s3-glacier.jpg "Product Avatar Image")

Amazon S3 Glacier

](https://www.g2.com/products/amazon-s3-glacier/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_dd674051aa4dc7d0dfc8b7737b799e0b/amazon-sagemaker-ground-truth.jpg "Product Avatar Image")

Amazon Sagemaker Ground Truth

](https://www.g2.com/products/amazon-sagemaker-ground-truth/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_3a7a925cc43d97814fa81ec2d6c06f45/aws-amplify.jpeg "Product Avatar Image")

AWS Amplify

](https://www.g2.com/products/aws-amplify/reviews)[
View all
](https://www.g2.com/products/amazon-sagemaker/integrations)

**Red Hat OpenShift Data Science**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_809aa88d3571ee805a47d8fb156ba412/apache-kafka.jpg "Product Avatar Image")

Apache Kafka

](https://www.g2.com/products/apache-kafka/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_8ec3c17e3fb1df25b6a8bd7cc69cf2d1/github.png "Product Avatar Image")

GitHub

](https://www.g2.com/products/github/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_1eff145289f3ee8649ba9d287a4fc68a/gitlab.jpeg "Product Avatar Image")

GitLab

](https://www.g2.com/products/gitlab/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_2ec0fb3d6001279948ececb9e055314c/red-hat-red-hat-openshift.jpg "Product Avatar Image")

Red Hat OpenShift

](https://www.g2.com/products/red-hat-red-hat-openshift/reviews)[
View all
](https://www.g2.com/products/red-hat-openshift-data-science/integrations)

**Ratings**
from reviews

Meets Requirements

**Amazon SageMaker**

8.7

8.747

**Red Hat OpenShift Data Science**

8.8

8.838

Ease of Use

**Amazon SageMaker**

8.4

8.448

**Red Hat OpenShift Data Science**

8.4

8.439

Ease of Setup

**Amazon SageMaker**

8.4

8.435

**Red Hat OpenShift Data Science**

7.6

7.617

Ease of Admin

**Amazon SageMaker**

8.4

8.420

**Red Hat OpenShift Data Science**

8.1

8.19

Quality of Support

**Amazon SageMaker**

8.7

8.742

**Red Hat OpenShift Data Science**

8.7

8.735

Has the product been a good partner in doing business?

**Amazon SageMaker**

9.2

9.220

**Red Hat OpenShift Data Science**

8.5

8.59

Product Direction (% positive)

**Amazon SageMaker**

8.9

8.944

**Red Hat OpenShift Data Science**

10.0

10.037

**Features**
ratings from reviews

Data Science and Machine Learning Platforms[Hide 75 FeaturesShow 75 Features](javascript:void(0);)

8.9

46

8.9

39

System

Data Ingestion & Wrangling

8.6

23

9.0(won by 0.4)

25

Real-Time Data

Not enough data

Not enough data

Model Development

Language Support

8.9(tied score)

32

8.9(tied score)

33

Drag and Drop

8.3

30

9.0(won by 0.7)

28

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Pre-Built Algorithms

8.4

36

8.9(won by 0.5)

29

 (There is a greater than 0.5 difference between this product's rating and its competitors)

Model Training

9.0(won by 0.3)

37

8.7

32

Database Support

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Model Development

Feature Engineering

8.6

21

8.9(won by 0.3)

26

Machine/Deep Learning Services

Computer Vision

9.0(won by 0.3)

28

8.7

25

Natural Language Processing

9.2(won by 0.5)

30

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.7

26

Natural Language Generation

9.0(won by 0.3)

27

8.7

22

Artificial Neural Networks

9.0(won by 0.5)

30

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.5

24

Machine/Deep Learning Services

Natural Language Understanding

9.3(won by 0.6)

18

 (There is a greater than 0.5 difference between this product's rating and its competitors)

8.7

22

Deep Learning

9.3(won by 0.4)

20

8.9

25

Deployment

Managed Service

8.9(won by 0.1)

40

8.8

26

Application

8.8

38

9.0(won by 0.2)

26

Scalability

9.1(won by 0.3)

38

8.8

33

Additional Functionality

Customizable Reports

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Semantic Search

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Ad hoc Reporting

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Visual Analytics

Not enough data

Not enough data

Data Mapping

Not enough data

Not enough data

Data Synchronization

Not enough data

Not enough data

Statistical Analysis

Not enough data

Not enough data

Categorization/Grouping

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Data Profiling

Not enough data

Not enough data

Linked Data Management

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

API

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Data Capture and Transfer

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Data Connectors

Not enough data

Not enough data

Ad hoc Analysis

Not enough data

Not enough data

Text Mining

Not enough data

Not enough data

Reporting & Statistics

Not enough data

Not enough data

Predictive Modeling

Not enough data

Not enough data

Real-Time Analytics

Not enough data

Not enough data

Configurable Workflow

Not enough data

Not enough data

Tagging

Not enough data

Not enough data

Endpoint Management

Not enough data

Not enough data

No-Code

Not enough data

Not enough data

Data Preparation

Not enough data

Not enough data

Auditing

Not enough data

Not enough data

Big Data Analytics

Not enough data

Not enough data

ML Algorithm Library

Not enough data

Not enough data

Data Management

Not enough data

Not enough data

Activity Tracking

Not enough data

Not enough data

Data Security

Not enough data

Not enough data

Workflow Management

Not enough data

Not enough data

Generative AI

AI Text Generation

8.6

7

9.1(won by 0.5)

9

 (There is a greater than 0.5 difference between this product's rating and its competitors)

AI Text Summarization

9.3(won by 0.2)

7

9.1

9

AI Text-to-Image

8.6

6

9.0(won by 0.4)

7

Generative AI

Not enough data

Not enough data

Agentic AI - Data Science and Machine Learning Platforms

Cross-system Integration

9.3(won by default)

7

Not enough data

Autonomous Task Execution

Not enough data

Not enough data

Multi-step Planning

Not enough data

Not enough data

Adaptive Learning

Not enough data

Not enough data

Natural Language Interaction

Not enough data

Not enough data

Proactive Assistance

Not enough data

Not enough data

Decision Making

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

MLOps Platforms[Hide 22 FeaturesShow 22 Features](javascript:void(0);)

9.6

6

Not enough data

Deployment

Language Flexibility

Not enough data

Not enough data

Framework Flexibility

Not enough data

Not enough data

Versioning

Not enough data

Not enough data

Ease of Deployment

Not enough data

Not enough data

Scalability

Not enough data

Not enough data

Deployment

Language Flexibility

9.7(won by default)

5

Not enough data

Framework Flexibility

9.0(won by default)

5

Not enough data

Versioning

9.7(won by default)

5

Not enough data

Ease of Deployment

10.0(won by default)

5

Not enough data

Scalability

Not enough data

Not enough data

Management

Cataloging

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Governing

Not enough data

Not enough data

Model Registry

Not enough data

Not enough data

Operations

Metrics

Not enough data

Not enough data

Infrastructure management

Not enough data

Not enough data

Collaboration

Not enough data

Not enough data

Management

Cataloging

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Governing

Not enough data

Not enough data

Generative AI

AI Text Generation

Not enough data

Not enough data

AI Text Summarization

Not enough data

Not enough data

Show 4 feature categories with incomplete data

Artificial Intelligence[Hide 37 FeaturesShow 37 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Tagging

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Data Extraction

Not enough data

Not enough data

Multi-Language

Not enough data

Not enough data

Predictive Analytics

Not enough data

Not enough data

Drag & Drop

Not enough data

Not enough data

Speech Recognition

Not enough data

Not enough data

Reporting/Analytics

Not enough data

Not enough data

Data Storage Management

Not enough data

Not enough data

Virtual Personal Assistant (VPA)

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Customer Segmentation

Not enough data

Not enough data

Collaboration Tools

Not enough data

Not enough data

Data Import/Export

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

For eCommerce

Not enough data

Not enough data

Role-Based Permissions

Not enough data

Not enough data

Customizable Branding

Not enough data

Not enough data

Search/Filter

Not enough data

Not enough data

Monitoring

Not enough data

Not enough data

Document Management

Not enough data

Not enough data

API

Not enough data

Not enough data

Data Visualization

Not enough data

Not enough data

Trend Analysis

Not enough data

Not enough data

Machine Learning

Not enough data

Not enough data

Access Controls/Permissions

Not enough data

Not enough data

Alerts/Escalation

Not enough data

Not enough data

Performance Metrics

Not enough data

Not enough data

Real-Time Data

Not enough data

Not enough data

Third-Party Integrations

Not enough data

Not enough data

Mobile App

Not enough data

Not enough data

Multiple Data Sources

Not enough data

Not enough data

For Sales Teams/Organizations

Not enough data

Not enough data

Sentiment Analysis

Not enough data

Not enough data

Activity Dashboard

Not enough data

Not enough data

Chatbot

Not enough data

Not enough data

Workflow Automation

Not enough data

Not enough data

Generative AI[Hide 22 FeaturesShow 22 Features](javascript:void(0);)

Not enough data

Not enough data

Additional Functionality

Code Generation

Not enough data

Not enough data

Text to Image

Not enough data

Not enough data

Generative AI

Not enough data

Not enough data

API

Not enough data

Not enough data

Natural Language Processing

Not enough data

Not enough data

Virtual Characters and Avatars

Not enough data

Not enough data

Content Generation

Not enough data

Not enough data

Personalization and Recommendation

Not enough data

Not enough data

Conditional Generation

Not enough data

Not enough data

Transformer Model

Not enough data

Not enough data

Automated Image & Video Editing

Not enough data

Not enough data

Interactive and Co-Creative Systems

Not enough data

Not enough data

Text Summarization

Not enough data

Not enough data

Data Augmentation

Not enough data

Not enough data

Variation Autoencoder Models

Not enough data

Not enough data

Adversarial Training

Not enough data

Not enough data

Transfer Learning and Fine-tuning

Not enough data

Not enough data

Simulation and Scenario Generation

Not enough data

Not enough data

Creative Design

Not enough data

Not enough data

AI Copilot

Not enough data

Not enough data

Prompt Engineering

Not enough data

Not enough data

Foundation Model

Not enough data

Not enough data

Low-Code Machine Learning Platforms[Hide 6 FeaturesShow 6 Features](javascript:void(0);)

Not enough data

Not enough data

Data Ingestion & Preparation - Low-Code Machine Learning Platforms

Multi‑Source Connector Support

Not enough data

Not enough data

Automatic Data Profiling & Quality Assessment

Not enough data

Not enough data

Schema Drift / Change Detection

Not enough data

Not enough data

Model Construction & Automation - Low-Code Machine Learning Platforms

Guided Algorithm & Hyperparameter Recommendation

Not enough data

Not enough data

Code Extensibility

Not enough data

Not enough data

Automated Feature Engineering

Not enough data

Not enough data

Generative AI Infrastructure[Hide 19 FeaturesShow 19 Features](javascript:void(0);)

Not enough data

Not enough data

Scalability and Performance - Generative AI Infrastructure

AI High Availability

Not enough data

Not enough data

AI Model Training Scalability

Not enough data

Not enough data

AI Inference Speed

Not enough data

Not enough data

GPU/Compute Resource Access

Not enough data

Not enough data

Cost and Efficiency - Generative AI Infrastructure

AI Cost per API Call

Not enough data

Not enough data

AI Resource Allocation Flexibility

Not enough data

Not enough data

AI Energy Efficiency

Not enough data

Not enough data

Integration and Extensibility - Generative AI Infrastructure

AI Multi-cloud Support

Not enough data

Not enough data

AI Data Pipeline Integration

Not enough data

Not enough data

AI API Support and Flexibility

Not enough data

Not enough data

On-Premise/Hybrid Deployment

Not enough data

Not enough data

Security and Compliance - Generative AI Infrastructure

AI GDPR and Regulatory Compliance

Not enough data

Not enough data

AI Role-based Access Control

Not enough data

Not enough data

AI Data Encryption

Not enough data

Not enough data

Usability and Support - Generative AI Infrastructure

AI Documentation Quality

Not enough data

Not enough data

AI Community Activity

Not enough data

Not enough data

Model Capabilities - Generative AI Infrastructure

Multi-model/Model-Agnostic Support

Not enough data

Not enough data

Fine-tuning and Custom Model Support

Not enough data

Not enough data

Pre-trained Model Availability

Not enough data

Not enough data

User Insights

Reviewers' Company Size

[![Amazon SageMaker](https://images.g2crowd.com/uploads/product/hd_favicon/1528476472/amazon-sagemaker.svg "Amazon SageMaker")](https://www.g2.com/products/amazon-sagemaker/reviews)

Amazon SageMaker

Small-Business(50 or fewer emp.)

30.8%

Mid-Market(51-1000 emp.)

34.6%

Enterprise(\> 1000 emp.)

34.6%

[![Red Hat OpenShift Data Science](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0957250e66d0bd9ef389ec04088ec094/red-hat-openshift-data-science.png "Red Hat OpenShift Data Science")](https://www.g2.com/products/red-hat-openshift-data-science/reviews)

Red Hat OpenShift Data Science

Small-Business(50 or fewer emp.)

22.0%

Mid-Market(51-1000 emp.)

39.0%

Enterprise(\> 1000 emp.)

39.0%

Small-Business

(50 or fewer emp.)

30.8%

22.0%

Mid-Market

(51-1000 emp.)

34.6%

39.0%

Enterprise

(\> 1000 emp.)

34.6%

39.0%

Reviewers' Industry

[![Amazon SageMaker](https://images.g2crowd.com/uploads/product/hd_favicon/1528476472/amazon-sagemaker.svg "Amazon SageMaker")](https://www.g2.com/products/amazon-sagemaker/reviews)
Amazon SageMaker

Information Technology and Services

21.2%

Computer Software

13.5%

Internet

5.8%

Hospital & Health Care

5.8%

Computer & Network Security

3.8%

Other

50.0%

[![Red Hat OpenShift Data Science](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_0957250e66d0bd9ef389ec04088ec094/red-hat-openshift-data-science.png "Red Hat OpenShift Data Science")](https://www.g2.com/products/red-hat-openshift-data-science/reviews)
Red Hat OpenShift Data Science

Market Research

19.5%

Computer Software

14.6%

Marketing and Advertising

12.2%

Information Technology and Services

12.2%

Telecommunications

7.3%

Other

34.1%

FAQs

## Amazon SageMaker vs Red Hat OpenShift Data Science FAQs

Generated using AI

Last updated: August 16, 2026

### What is the difference between Amazon SageMaker vs Red Hat OpenShift Data Science?

Red Hat OpenShift Data Science stands out for its higher Meets Requirements and Ease of Admin scores, while Amazon SageMaker is favored for its extensive managed ML lifecycle and AWS integration.

| [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) | [Red Hat OpenShift Data Science](https://www.g2.com/products/red-hat-openshift-data-science/reviews) |
| --- | --- |
| 4.3/5 (57 reviews) | 4.4/5 (32 reviews) |
| Enterprise | Mid-Market |
| 8.4 | 7.6 |
| 8.7 | 8.7 |
| End-to-end managed ML lifecycle and AWS ecosystem integration | Unified, enterprise-ready platform with strong collaboration and containerization |

### How do the pricing models of Amazon SageMaker and Red Hat OpenShift Data Science compare?

Amazon SageMaker and Red Hat OpenShift Data Science are rated at parity for value, with both scoring 8.4 on Price/Cost satisfaction.

- **Amazon SageMaker:** In recent reviews, many cite concerns about cost complexity and the potential for high bills if resources are not managed carefully, but also note strong ROI for enterprise ML teams due to reduced infrastructure management.
- **Red Hat OpenShift Data Science:** Reviewers mention that licensing and resource consumption can lead to higher cloud bills, especially for resource-intensive workloads, but highlight the value in enterprise and hybrid environments.

### What are the best alternatives to Amazon SageMaker and Red Hat OpenShift Data Science?

According to G2, the top three alternatives to Amazon SageMaker and Red Hat OpenShift Data Science are Databricks, Gemini Enterprise Agent Platform, and Dataiku.

| Product | G2 Rating (reviews) | Largest Segment | Pricing Insight | Top Reviewer-Cited Strength |
| --- | --- | --- | --- | --- |
| [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) | 4.3/5 (57) | Enterprise | Cost complexity noted, strong ROI for enterprise | End-to-end managed ML lifecycle and AWS integration |
| [Red Hat OpenShift Data Science](https://www.g2.com/products/red-hat-openshift-data-science/reviews) | 4.4/5 (32) | Mid-Market | Resource consumption can increase costs | Unified, enterprise-ready platform with strong collaboration |
| [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5 (1366) | Enterprise | — | Scalability and advanced analytics capabilities |
| [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) | 4.3/5 (744) | Small-Business | — | Flexible agent-based automation |
| [Dataiku](https://www.g2.com/products/dataiku/reviews) | 4.4/5 (224) | Enterprise | — | Collaborative data science workflows |

### Which Data Science and Machine Learning Platforms features should I prioritize when comparing Amazon SageMaker and Red Hat OpenShift Data Science?

Buyers should prioritize ease of setup, quality of support, integration capabilities, end-to-end ML lifecycle management, and collaboration features when comparing Amazon SageMaker and Red Hat OpenShift Data Science.

- **Ease of Setup:** Amazon SageMaker scores 8.4, Red Hat OpenShift Data Science scores 7.6.
- **Quality of Support:** Both products score 8.7.
- **Integration Capabilities:** Amazon SageMaker is frequently cited for AWS ecosystem integration; Red Hat OpenShift Data Science is noted for integration with Kubernetes and OpenShift.
- **End-to-End ML Lifecycle Management:** Amazon SageMaker is highlighted for its managed ML lifecycle and AWS integration; Red Hat OpenShift Data Science is recognized for unified platform and containerization.
- **Collaboration Features:** Red Hat OpenShift Data Science is frequently praised for strong collaboration and centralized workflows.

### What are the pros and cons of Amazon SageMaker vs Red Hat OpenShift Data Science?

Amazon SageMaker's headline strength is its end-to-end managed ML lifecycle and AWS integration, while Red Hat OpenShift Data Science excels in unified collaboration and containerization for enterprise environments.

- **Amazon SageMaker strengths:** End-to-end managed ML lifecycle, AWS ecosystem integration, scalability, managed infrastructure, and strong model deployment capabilities (Ease of Use: 3 all-time mentions; AI Integration: 2; Computing Power: 2; Efficiency: 2; Fast Processing: 2; Features: 2; Implementation Ease: 2; Model Management: 2; Setup Ease: 2; Time-saving: 2).
- **Amazon SageMaker trade-offs:** Cost complexity and potential for high bills (Expensive: 3 all-time mentions), steep learning curve (Complexity: 2; Learning Curve: 2), and fragmented user experience.
- **Red Hat OpenShift Data Science strengths:** Unified, enterprise-ready platform, strong collaboration, containerization, and integration with Kubernetes/OpenShift.
- **Red Hat OpenShift Data Science trade-offs:** Resource-intensive, complex setup and administration, and licensing costs noted in recent reviews.

### Is Amazon SageMaker or Red Hat OpenShift Data Science better for small businesses?

Red Hat OpenShift Data Science is the better fit for small businesses, as its largest reviewer segment is Mid-Market, while Amazon SageMaker is primarily used by Enterprise reviewers.

- **Amazon SageMaker:** Largest segment is Enterprise; reviewers highlight strong ROI for large-scale ML teams but note cost and complexity may be challenging for smaller organizations.
- **Red Hat OpenShift Data Science:** Largest segment is Mid-Market; reviewers describe easier collaboration and centralized workflows, which can benefit smaller teams.

### Which Data Science and Machine Learning Platforms platform has better integrations?

Amazon SageMaker is favored for integrations, with frequent reviewer mentions of AWS ecosystem compatibility.

- **Amazon SageMaker:** Reviewers frequently cite integration with AWS services such as S3, Lambda, Redshift, EMR, and Glue.
- **Red Hat OpenShift Data Science:** Reviewers mention integration with Red Hat OpenShift (18 all-time mentions) and Kubernetes.

### How do Amazon SageMaker and Red Hat OpenShift Data Science compare on customer support?

Amazon SageMaker and Red Hat OpenShift Data Science are rated at parity for Quality of Support, both scoring 8.7.

- **Amazon SageMaker:** Reviewers consistently describe responsive support and helpful documentation, with several noting strong assistance for AWS integrations.
- **Red Hat OpenShift Data Science:** Reviewers highlight quick support replies and effective communication, especially for integration and configuration issues.

### Which is easier to implement, Amazon SageMaker or Red Hat OpenShift Data Science?

Amazon SageMaker scores higher on Ease of Setup (8.4 vs. 7.6), making it easier to implement than Red Hat OpenShift Data Science by the materiality threshold.

- **Amazon SageMaker:** Reviewers describe straightforward setup, especially for those familiar with AWS, but note a learning curve for new users.
- **Red Hat OpenShift Data Science:** Reviewers mention a more complex initial setup and configuration, particularly for new users or those unfamiliar with containerization.

Alternatives

**Amazon SageMaker Alternatives**

 ![Gemini platform](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_4dd8c3d8b249576df722c91920b11d18/gemini-platform.png "Gemini platform")

[
Gemini platform
](/products/gemini-platform/reviews)

 ![Dataiku](https://images.g2crowd.com/uploads/product/hd_favicon/3fe6cc82516a2babaa3dfd8f9dfcc4b3/dataiku.svg "Dataiku")

[
Dataiku
](/products/dataiku/reviews)

 ![Azure Machine Learning](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_f176b4154a751d10150daa67a57b7dc5/azure-machine-learning-studio.jpg "Azure Machine Learning")

[
Azure Machine Learning Studio
](/products/microsoft-azure-machine-learning/reviews)

 ![Alteryx](https://images.g2crowd.com/uploads/product/hd_favicon/5200f776b24b5976b8f7d151d1d2e8fd/alteryx.svg "Alteryx")

[
Alteryx
](/products/alteryx/reviews)

**Red Hat OpenShift Data Science Alternatives**

 ![Databricks](https://images.g2crowd.com/uploads/product/hd_favicon/135d1c9e39e19ef56dc8d0bf90fce20f/databricks.svg "Databricks")

[
Databricks
](/products/databricks/reviews)

 ![IBM watsonx.ai](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_24bb2b0b5af8e7d875ea09d767bcb097/ibm-watsonx-ai.jpg "IBM watsonx.ai")

[
IBM watsonx.ai
](/products/ibm-watsonx-ai/reviews)

 ![Gemini platform](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_4dd8c3d8b249576df722c91920b11d18/gemini-platform.png "Gemini platform")

[
Gemini platform
](/products/gemini-platform/reviews)

 ![Dataiku](https://images.g2crowd.com/uploads/product/hd_favicon/3fe6cc82516a2babaa3dfd8f9dfcc4b3/dataiku.svg "Dataiku")

[
Dataiku
](/products/dataiku/reviews)

## Amazon SageMaker vs Red Hat OpenShift Data Science

When assessing the two solutions, reviewers found them equally easy to use. However, Amazon SageMaker is easier to set up and administer.reviewers also preferred doing business with Amazon SageMaker overall.

- Reviewers felt that Red Hat OpenShift Data Science meets the needs of their business better than Amazon SageMaker.
- When comparing quality of ongoing product support, Amazon SageMaker and Red Hat OpenShift Data Science provide similar levels of assistance.
- For feature updates and roadmaps, our reviewers preferred the direction of Red Hat OpenShift Data Science over Amazon SageMaker.