Amazon SageMaker Review: Is It The Right Data Science and Machine Learning Platforms For Your Team?
Best for SMB teams · Mid-market · Enterprise
Free Plan Available
GDPR
SOC 2
HIPAA
ISO 27001
GE Healthcare
Intuit
Dow Jones
ADP, Inc
CernerTrusted by many companies including GE Healthcare
Overview
Pricing
Features
Buyer feedback
Alternatives
Customers
Media
Security & Compliance
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FAQ
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What is Amazon SageMaker?
Amazon SageMaker is an integrated platform designed to reduce the time and effort expended in the development of machine learning models. It provides a single web-based interface enabling users to quickly upload their data, tune and train models, compare results, and move their finished models into production. Its Autopilot feature takes away the heaviest lifting, automatically training, building, and tuning the perfect model based on data supplied. Furthermore, it assists with the data preparation process and workflow, making ML production smoother,
Best For
Suited for solo users, small teams, SMBs, and enterprise
Security & Compliance
SOC 2GDPRHIPAAISO 27001SSO & MFA supported
Data residency:Global
Amazon SageMaker Software Demo
Amazon SageMaker was reviewed internally using user feedback, in-house testing, and market research to assess its performance, reliability, and user experience. Learn how we review products and our evaluation process.
Who should consider Amazon SageMaker
- Use cases
- Machine learning model development, Data science teams in enterprises, Automated model tuning and deployment
- Team types
- Data scientists, Machine learning engineers
- Company size
- Medium Business, Large Enterprises
- Workflow style
- Flexible and configurable
- Setup complexity
- Medium
Why teams choose Amazon SageMaker
Integrated environment for end-to-end ML workflow
Autopilot feature automates model training and tuning
Seamless model deployment into production
Is Amazon SageMaker right for you?
Best for enterprises needing automated, end-to-end machine learning workflows.
Choose Amazon SageMaker if
- You require a unified platform for data upload, model training, and deployment.
- Your team benefits from automated model tuning via Autopilot to speed development.
- You have medium to large teams with cloud infrastructure expertise for complex ML projects.
Consider alternatives if
- Your team lacks cloud infrastructure skills or ML expertise to handle complexity.
- You need a simple, no-code machine learning solution for quick, lightweight use.
What buyers should know before shortlisting Amazon SageMaker
Amazon SageMaker simplifies the machine learning model development process with its integrated platform. Its Autopilot feature significantly reduces the effort required to build and tune models, making it accessible for users at various skill levels.
Amazon SageMaker pros and cons
- Amazon SageMaker pros
Integrated environment for end-to-end ML workflow
Autopilot feature automates model training and tuning
Seamless model deployment into production
- Amazon SageMaker cons
Steep learning curve for beginners
Pricing details are not publicly transparent
Ready to try it?
Get started with Amazon SageMaker
Try the free plan and upgrade when ready.
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See how it stacks up
Compare Amazon SageMaker side-by-side with top Data Science and Machine Learning Platforms alternatives.
What is the pricing of Amazon SageMaker?
Amazon SageMaker Pricing Plans
Amazon SageMaker reviews and ratings
Buyer sentiment
Users appreciate the comprehensive ML capabilities and automation but note complexity and pricing opacity as drawbacks.
What buyers like
- Automation of model training
- End-to-end platform integration
- Robust deployment options
Common complaints
- Steep learning curve
- Unclear pricing
What users are saying
AA
Avineet A
10/10/23
"Complete AWS based AI ML Studio"
What do you like best about Amazon SageMaker? Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD ...
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SP
Shyam P
06/22/23
"Amazon Sagemaker Benefits"
What do you like best about Amazon SageMaker? I like the endpoint creation which can inference our model through lambda function. Along with Sagemaker ...
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DS
Debjyoti S
06/16/23
"I use it often for Data Science Solutions"
What do you like best about Amazon SageMaker? It's really helps in deploying applications faster and in a very convenient way. The pricing is also ...
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AU
Anonymous User
06/14/23
"Can improve the deployment process"
What do you like best about Amazon SageMaker? Unlike GCP its little better to use in my point of view. What do you dislike about Amazon ...
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IA
Imrankhan A
06/14/23
"Sagemaker for image based applications"
What do you like best about Amazon SageMaker? In sagemaker we can have some of basic models and we can create complex AI models and train and test ...
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AU
Anonymous User
06/14/23
"AWS SageMaker for training/deployment of large-scale recommenders"
What do you like best about Amazon SageMaker? SageMaker makes it very easy to train and deploy models. The managed infrastructure allows us to focus ...
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What are the features of Amazon SageMaker?
Data privacy is a critical feature of any software that deals with sensitive information. It refers to the protection of personal and confid…
Data security refers to the practice of protecting digital data from unauthorized access, use, disclosure, disruption, modification, or dest…
Labeling is a software feature that enables the user to organize and categorize different items or data within the software. This feature is…
Machine learning is a powerful technology that allows computers to learn and improve from data without being explicitly programmed. This inn…
Training management is a software feature that helps organizations efficiently manage their training programs and activities. It serves as a…
The Transparency Tool is a powerful feature that is commonly found in software applications, particularly those that are used for design and…
Amazon SageMaker security and data handling
Key compliance certifications and security features for IT and security teams evaluating Amazon SageMaker.
Certifications
Security features
Developer & data
Alternatives to Amazon SageMaker
Accelerate your machine learning ...
Very Good
Amazon SageMaker Customers
GE Healthcare
Intuit
Dow Jones
ADP, Inc
Cerner
Amazon SageMaker Support Options
Frequently Asked Questions About Amazon SageMaker
Common questions buyers ask before choosing Amazon SageMaker.
Amazon SageMaker is a Data Science and Machine Learning Platforms. Amazon SageMaker offers Transparency Tool, Data Privacy, Labeling, Machine Learning, Data Security and many more functionalities.
Amazon SageMaker is a strong fit if: You require a unified platform for data upload, model training, and deployment.; Your team benefits from automated model tuning via Autopilot to speed development.. Consider alternatives if: Your team lacks cloud infrastructure skills or ML expertise to handle complexity.; You need a simple, no-code machine learning solution for quick, lightweight use..
Buyers commonly note the following limitations of Amazon SageMaker: Steep learning curve for beginners; Pricing details are not publicly transparent; Complexity may be overwhelming for small teams.
Some top alternatives to Amazon SageMaker includes Amazon Personalize, Qualified, Workvivo, Vivas.AI and Bedrock.
Amazon SageMaker offers Freemium, Subscription pricing models
The starting price is not disclosed by Amazon SageMaker. You can visit Amazon SageMaker pricing page to get the latest pricing.
Ready to try it?
Get started with Amazon SageMaker
Get started with the free plan — no credit card required.
Disclaimer: This research has been collated from a variety of authoritative sources. We welcome your feedback at [email protected].