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# Amazon SageMaker vs Google Cloud AutoML Comparison - What are their main differences?

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Amazon SageMakerGoogle Cloud AutoML[+ Add Product](#)

Pricing

**Amazon SageMaker**

**Contact Vendor for Pricing** · Basic

**Google Cloud AutoML**
No pricing available

**Pricing Insights**
from reviews

Perceived Cost

**Amazon SageMaker**
$$$$$

**Google Cloud AutoML**
Not enough reviews yet

Average Discount

**Amazon SageMaker**
Not enough reviews yet

**Google Cloud AutoML**
15%

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Time to Implement

**Amazon SageMaker** 6 months
Based on 100 responses

**Google Cloud AutoML** 6 months
Based on 100 responses

Return on Investment

**Amazon SageMaker** 6 months
Based on 100 responses

**Google Cloud AutoML** 6 months
Based on 100 responses

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

 ![Google Cloud AutoML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_5ce1baadf28da9a4ff7dfef94752a5f9/google-cloud-automl.jpg "Google Cloud AutoML")

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**Pros & Cons**
from reviews

**Amazon SageMaker**

Ease of Use (3)

AI Integration (2)

Expensive (3)

Complexity (2)

**Google Cloud AutoML**

AI Integration (1)

Ease of Use (1)

Cost (1)

Expensive (1)

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)

**Google Cloud AutoML**
[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_4a9a6d57cdd833bf0381d21fd9246641/google-workspace.png "Product Avatar Image")

Google Workspace

](https://www.g2.com/products/google-workspace/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_13aba37ae908d9cf29a2452925257ccc/microsoft-sentinel-solutions-for-sap-applications.jpeg "Product Avatar Image")

Microsoft Sentinel...

](https://www.g2.com/products/microsoft-sentinel-solutions-for-sap-applications/reviews)[

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_240340edca859994ec71e4490aa20022/mysql.png "Product Avatar Image")

MySQL

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

 ![Product Avatar Image](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_d9d3ff178178a1f790a9d6114e104471/zoho-crm.png "Product Avatar Image")

Zoho

](https://www.g2.com/products/zoho-crm/reviews)[
View all
](https://www.g2.com/products/google-cloud-automl/integrations)

**Ratings**
from reviews

Meets Requirements

**Amazon SageMaker**

**8.7** /10

Based on 47 responses

**Google Cloud AutoML**

**8.7** /10

Based on 42 responses

Ease of Use

**Amazon SageMaker**

**8.4** /10

Based on 48 responses

**Google Cloud AutoML**

**9.0** /10

Based on 42 responses

Ease of Setup

**Amazon SageMaker**

**8.4** /10

Based on 35 responses

**Google Cloud AutoML**

**8.5** /10

Based on 39 responses

Ease of Admin

**Amazon SageMaker**

**8.4** /10

Based on 20 responses

**Google Cloud AutoML**

**8.4** /10

Based on 20 responses

Quality of Support

**Amazon SageMaker**

**8.7** /10

Based on 42 responses

**Google Cloud AutoML**

**8.2** /10

Based on 42 responses

Has the product been a good partner in doing business?

**Amazon SageMaker**

**9.2** /10

Based on 20 responses

**Google Cloud AutoML**

**8.9** /10

Based on 19 responses

Product Direction (% positive)

**Amazon SageMaker**

**8.9** /10

Based on 44 responses

**Google Cloud AutoML**

**9.7** /10

Based on 36 responses

**Features**
ratings from reviews

Data Science and Machine Learning Platforms

**8.9** /10

Based on 46 responses

**9.2** /10

Based on 29 responses

MLOps Platforms

**9.6** /10

Based on 6 responses

Not enough data

Low-Code Machine Learning Platforms

Not enough data

**9.3** /10

Based on 7 responses

User Insights

**Reviewers' Company Size**

Small-Business(50 or fewer emp.)
30.8%

Mid-Market(51-1000 emp.)
34.6%

Enterprise(\> 1000 emp.)
34.6%

Small-Business(50 or fewer emp.)
30.8%

Mid-Market(51-1000 emp.)
34.6%

Enterprise(\> 1000 emp.)
34.6%

Small-Business(50 or fewer emp.)
40.0%

Mid-Market(51-1000 emp.)
38.0%

Enterprise(\> 1000 emp.)
22.0%

Small-Business(50 or fewer emp.)
40.0%

Mid-Market(51-1000 emp.)
38.0%

Enterprise(\> 1000 emp.)
22.0%

**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%

[![Google Cloud AutoML](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_5ce1baadf28da9a4ff7dfef94752a5f9/google-cloud-automl.jpg "Google Cloud AutoML")](https://www.g2.com/products/google-cloud-automl/reviews)
Google Cloud AutoML

Information Technology and Services
24.0%

Accounting
6.0%

Computer Software
6.0%

Higher Education
6.0%

Research
6.0%

Other
52.0%

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)

**Google Cloud AutoML Alternatives**

 ![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)

 ![DataRobot](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_4392df8f60987b58908bcb30c16818bc/datarobot.jpeg "DataRobot")

[
DataRobot
](/products/datarobot/reviews)

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

[
Dataiku
](/products/dataiku/reviews)

 ![Intelligence Center X AI Studio](https://images.g2crowd.com/uploads/product/image/thumb_square/thumb_square_3f9c0906fd6d9b7d077d88bc63dfc5f1/intelligence-center-x-ai-studio.png "Intelligence Center X AI Studio")

[
Intelligence Center X AI Studio
](/products/intelligence-center-x-ai-studio/reviews)

## Amazon SageMaker vs Google Cloud AutoML FAQs

Generated using AI

Last updated: August 14, 2026

### What is the difference between Amazon SageMaker vs Google Cloud AutoML?

Amazon SageMaker and Google Cloud AutoML are both rated 4.3/5, but Amazon SageMaker is noted for its end-to-end ML lifecycle management and operational depth, while Google Cloud AutoML is recognized for its ease of use and rapid prototyping for non-experts.

| [Amazon SageMaker](https://www.g2.com/products/amazon-sagemaker/reviews) | [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) |
| --- | --- |
| 4.3/5 (57 reviews) | 4.3/5 (35 reviews) |
| Mid-Market | Mid-Market |
| 8.4 | 8.2 |
| 8.7 | 8.2 |
| End-to-end ML lifecycle management | Ease of use and rapid prototyping |

### How do the pricing models of Amazon SageMaker and Google Cloud AutoML compare?

Amazon SageMaker and Google Cloud AutoML are rated at parity for value, with both products receiving cost-related trade-offs in recent reviews.

- **Amazon SageMaker:** Reviewers frequently cite cost complexity and the potential for high expenses, especially for GPU-intensive or long-running workloads, but also note strong ROI for enterprise ML teams due to reduced infrastructure management.
- **Google Cloud AutoML:** Reviewers highlight that pricing can escalate quickly at scale and is considered high for small businesses, though the automation and ease of use are valued for rapid prototyping.

### What are the best alternatives to Amazon SageMaker and Google Cloud AutoML?

The top three alternatives to Amazon SageMaker and Google Cloud AutoML are Azure Machine Learning Studio, 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) | Mid-Market | Pricing can be complex and expensive for large workloads | End-to-end ML lifecycle management |
| [Google Cloud AutoML](https://www.g2.com/products/google-cloud-automl/reviews) | 4.3/5 (35) | Mid-Market | Pricing escalates quickly at scale, high for small businesses | Ease of use and rapid prototyping |
| [Azure Machine Learning Studio](https://www.g2.com/products/microsoft-azure-machine-learning/reviews) | 4.3/5 (90) | Enterprise | — | Flexible ML development and deployment |
| [Gemini Enterprise Agent Platform](https://www.g2.com/products/gemini-enterprise-agent-platform/reviews) | 4.3/5 (745) | Small-Business | — | AI-powered automation and agent capabilities |
| [Dataiku](https://www.g2.com/products/dataiku/reviews) | 4.4/5 (224) | Enterprise | — | Collaborative data science and ML workflows |

### Which Data Science and Machine Learning Platforms features should I prioritize when comparing Amazon SageMaker and Google Cloud AutoML?

Buyers comparing Amazon SageMaker and Google Cloud AutoML should prioritize ease of use, cost management, deployment flexibility, integration capabilities, and support experience.

- **Ease of Use:** Amazon SageMaker 8.4, Google Cloud AutoML 9.0
- **Cost Management:** Both products receive recurring mentions for cost complexity and high expenses in recent reviews
- **Deployment Flexibility:** Amazon SageMaker is frequently cited for end-to-end ML lifecycle management and operational depth (multiple all-time mentions)
- **Integration Capabilities:** Amazon SageMaker is noted for integration with AWS services; Google Cloud AutoML is highlighted for integration with Google Cloud ecosystem
- **Support Experience:** Amazon SageMaker 8.7, Google Cloud AutoML 8.2

### What are the pros and cons of Amazon SageMaker vs Google Cloud AutoML?

Amazon SageMaker's headline strength is its end-to-end ML lifecycle management, while Google Cloud AutoML is recognized for ease of use and rapid prototyping.

- **Amazon SageMaker strengths:** End-to-end ML lifecycle management (multiple all-time mentions), strong integration with AWS, operational efficiency, and scalability.
- **Amazon SageMaker trade-offs:** Cost complexity and high expenses (3 all-time mentions), steep learning curve and complexity (2 all-time mentions), and fragmented user experience.
- **Google Cloud AutoML strengths:** Ease of use (all-time mention), rapid prototyping, user-friendly interface, and smooth integration with Google Cloud services.
- **Google Cloud AutoML trade-offs:** High pricing for large-scale or small business use (all-time mention), limited advanced customization, and less flexibility for expert users.

### Is Amazon SageMaker or Google Cloud AutoML better for small businesses?

Google Cloud AutoML is a better fit for small businesses, as it is recognized for ease of use and rapid onboarding, despite both products having a mid-market reviewer base.

- **Amazon SageMaker:** Mid-Market segment; reviewers note a steep learning curve and cost management challenges for smaller teams.
- **Google Cloud AutoML:** Mid-Market segment; reviewers highlight its accessibility for users without deep data science expertise and rapid prototyping capabilities, though cost is a concern for small businesses.

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

Amazon SageMaker and Google Cloud AutoML are both recognized for strong integrations within their respective cloud ecosystems, with reviewers citing parity in integration sentiment.

- **Amazon SageMaker:** Reviewers highlight integration with AWS services such as S3, Lambda, and Redshift in recent reviews.
- **Google Cloud AutoML:** Reviewers note integration with Google Cloud Storage and BigQuery, and mention easy integration with other Google Apps.

### How do Amazon SageMaker and Google Cloud AutoML compare on customer support?

Amazon SageMaker and Google Cloud AutoML are rated within 0.5 points on Quality of Support, indicating near parity, with Amazon SageMaker at 8.7 and Google Cloud AutoML at 8.2.

- **Amazon SageMaker:** Reviewers describe responsive support and detailed product knowledge, though some mention fragmented documentation and support experiences.
- **Google Cloud AutoML:** Reviewers report generally positive support experiences, with some noting slower response times for advanced configuration questions.

### Which is easier to implement, Amazon SageMaker or Google Cloud AutoML?

Amazon SageMaker and Google Cloud AutoML score within 0.2 points on Ease of Setup, indicating near parity, with Amazon SageMaker at 8.4 and Google Cloud AutoML at 8.2.

- **Amazon SageMaker:** Reviewers note a steep initial learning curve and complex setup, especially for new AWS users, but also mention that setup is straightforward for those familiar with AWS.
- **Google Cloud AutoML:** Reviewers highlight its user-friendly onboarding and minimal coding requirements, though some mention that advanced configuration can be challenging for new users.