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Pros & Cons summary

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Prominent pros & cons

PROS

Amazon SageMaker allows seamless deployment with minimal effort and supports building, training, and deploying AI models from scratch.
Amazon SageMaker provides valuable integration capabilities, such as connecting to AWS cloud resources and offering API endpoints, making it easier to manage machine learning workloads.
Amazon SageMaker excels in automating processes, including features like AutoML, feature store, versioning, and hyperparameter tuning, which enhance efficiency and accuracy.
Amazon SageMaker offers significant return on investment by improving time to insight, providing revenue increases, and reducing costs, especially in applications like real-time fraud detection.
Amazon SageMaker is supported by excellent technical support and a comprehensive framework that includes tools like Visual Studio Code and Jupyter Notebooks for model development and deployment.

CONS

The cost of using Amazon SageMaker is relatively high compared to other cloud platforms, driving companies to consider alternatives.
Scalability issues exist, particularly in handling big data and integrating with networks like Hadoop and Apache Spark.
Amazon SageMaker's documentation needs improvement for clarity and accessibility, making it challenging for new users.
Integrations are a major challenge, especially concerning data flow management, security, and AWS capability emphasis.
Pricing is complicated and based on machine types, storage, and computation, adding complexity to cost management.
 

Amazon SageMaker Pros review quotes

NeerajPokala - PeerSpot reviewer
Machine Learning Engineer at Macquarie Group
Mar 30, 2026
Amazon SageMaker definitely provides ROI.
reviewer2315208 - PeerSpot reviewer
Data Lake and MLOps Lead at a energy/utilities company with 10,001+ employees
Jul 29, 2025
The tangible benefits we have observed from using Amazon SageMaker include improved time to insight and generally the common stack that is easier to support over time.
Saurabh Jaiswal - PeerSpot reviewer
Python AWS & AI Expert at a tech consulting company
Apr 28, 2025
The various integration options available in Amazon SageMaker, such as Firehose for connecting to data pipelines, are simple to use.
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
Hemant Paralkar - PeerSpot reviewer
Lead Consultant at Saama
Dec 12, 2024
The evolution from SageMaker Classic to SageMaker Studio, particularly the UI part of Studio, is commendable.
reviewer1363764 - PeerSpot reviewer
Senior Solutions Architect at a tech vendor with 10,001+ employees
Dec 27, 2024
The most valuable features include the ML operations that allow for designing, deploying, testing, and evaluating models.
Maxwell Seefeld - PeerSpot reviewer
President & CEO at Y12
Dec 23, 2024
They offer insights into everyone making calls in my organization.
SaravananThiagarajan - PeerSpot reviewer
Data Scientist at a computer software company with 5,001-10,000 employees
Jul 17, 2024
The technical support of the tool was good.
Ethan Kang - PeerSpot reviewer
Senior Actuary at Accelerant Holdings
Oct 28, 2024
The intuitive interface and streamlined user experience make it easy to navigate and set up various tools like Visual Studio Code or Jupyter Notebook.
reviewer2618670 - PeerSpot reviewer
AWS & Azure Engineer at a media company with 11-50 employees
Dec 12, 2024
SageMaker supports building, training, and deploying AI models from scratch, which is crucial for my ML project.
Jenitha Rashmi P - PeerSpot reviewer
Senior Project Lead at Intellect Design Arena
Apr 26, 2024
We've had experience with unique ML projects using SageMaker. For example, we're developing a platform similar to ChatGPT that requires models. We utilize Amazon SageMaker to create endpoints for these models, making accessing them convenient as needed.
 

Amazon SageMaker Cons review quotes

NeerajPokala - PeerSpot reviewer
Machine Learning Engineer at Macquarie Group
Mar 30, 2026
Comparatively, GCP offers very low cost when compared to Amazon SageMaker. People are moving from Amazon SageMaker to GCP because of the cost constraints.
reviewer2315208 - PeerSpot reviewer
Data Lake and MLOps Lead at a energy/utilities company with 10,001+ employees
Jul 29, 2025
They could add features such as managing environments, experiment management across those environments, and the integration with training datasets as you go through those experiments.
Saurabh Jaiswal - PeerSpot reviewer
Python AWS & AI Expert at a tech consulting company
Apr 28, 2025
There is room for improvement in the collaboration with serverless architecture, particularly integration with AWS Lambda.
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: May 2026.
893,221 professionals have used our research since 2012.
Hemant Paralkar - PeerSpot reviewer
Lead Consultant at Saama
Dec 12, 2024
Improvement is needed in the no-code and low-code capabilities of Amazon SageMaker.
reviewer1363764 - PeerSpot reviewer
Senior Solutions Architect at a tech vendor with 10,001+ employees
Dec 27, 2024
One area for improvement is the pricing, which can be quite high.
Maxwell Seefeld - PeerSpot reviewer
President & CEO at Y12
Dec 23, 2024
The main challenge with Amazon SageMaker is the integrations.
SaravananThiagarajan - PeerSpot reviewer
Data Scientist at a computer software company with 5,001-10,000 employees
Jul 17, 2024
For any cloud provider, the cost has to be substantially reduced, especially in the case of Amazon SageMaker, which is extremely expensive for huge workloads.
Ethan Kang - PeerSpot reviewer
Senior Actuary at Accelerant Holdings
Oct 28, 2024
When starting a new session, the waiting time can be quite long, ranging from two to five minutes.
reviewer2618670 - PeerSpot reviewer
AWS & Azure Engineer at a media company with 11-50 employees
Dec 12, 2024
Having all documentation easily accessible on the front page of SageMaker would be a great improvement.
Jenitha Rashmi P - PeerSpot reviewer
Senior Project Lead at Intellect Design Arena
Apr 26, 2024
In my opinion, one improvement for Amazon SageMaker would be to offer serverless GPUs. Currently, we incur costs on an hourly basis. It would be beneficial if the tool could provide pay-as-you-go pricing based on endpoints.