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Amazon SageMaker pros and cons

Vendor: Amazon Web Services (AWS)

3.9 out of 5

36 reviews
91% willing to recommend

1,272 followers

Pros & Cons summary

Amazon SageMaker enables machine learning without extensive programming, offering tools like AutoML and hyperparameter tuning. Integration with AWS services and Python support enhances utility. Its ML operations simplify model design and deployment, aided by Feature Store and CI/CD pipelines. While technical support is responsive, pricing can be high. Documentation and data integration need clarity and security improvements. Training modules and hyperparameter suggestions require enhancement for better usability.

Buyer's Guide

Get pricing advice, tips, use cases and valuable features from real users of this product.

Prominent pros & cons

PROS

Amazon SageMaker allows machine learning without programming and facilitates API endpoint creation.

Amazon SageMaker provides efficient deployment capabilities and model control.

Amazon SageMaker's integration with AWS resources enhances ML workload management.

Amazon SageMaker features autopilot capabilities that assist users in running experiments effectively.

Amazon SageMaker offers valuable features like hyperparameter tuning and AutoML.

CONS

Amazon SageMaker's IDE is considered immature and can improve over time.

There is a need for better integration with big data networks like Hadoop and Apache Spark.

The complexity of Amazon SageMaker should be addressed to make it more user-friendly and integrate data security and access policy effectively.

Amazon SageMaker faces high pricing and scalability issues, pushing users to consider other cloud options.

Documentation for Amazon SageMaker needs to be clearer and more comprehensive to help users better utilize its capabilities.

Amazon SageMaker Pros review quotes

SaravananThiagarajan

Data Scientist at a computer software company with 5,001-10,000 employees

Jul 17, 2024

The technical support of the tool was good.

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Data Scientist at a computer software company with 501-1,000 employees

Nov 13, 2023

The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework.

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Leshmi Giridharan

Data specialist at a mining and metals company with 11-50 employees

Jan 22, 2024

The Autopilot feature is really good because it's helpful for people who don't have much experience with coding or data pipelines. When we suggest SageMaker to clients, they don't have to go through all the steps manually. They can leverage Autopilot to choose variables, run experiments, and monitor costs. The results are also pretty accurate.

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Amazon SageMaker

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SP

Data Scientist at a tech vendor with 10,001+ employees

Dec 16, 2019

They are doing a good job of evolving.

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Big Data Solution Architect - Spatial Data Specialist at SCIERA, INC

Aug 10, 2023

The solution's ability to improve work at my organization stems from the ensemble model and a combination of various models it provides.

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Software Engineer at Sportsbet

Jul 10, 2023

The solution is easy to scale...The documentation and online community support have been sufficient for us so far.

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Subrata Mukherjee

Senior Technical Architect; Head of Platform at Blenheim Chalcot IT Services India

Nov 13, 2024

The most valuable features in Amazon SageMaker are its AutoML, feature store, and automated hyperparameter tuning capabilities.

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VP, Principal at Axtria - Ingenious Insights

Jan 26, 2024

The most valuable feature of Amazon SageMaker for me is the model deployment service.

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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.

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Tech Lead - Sanlam Fintech Cluster - Data,ML,AI Eng. at Sanlam

Feb 27, 2024

The tool makes our ML model development a bit more efficient because everything is in one environment.

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Amazon SageMaker Cons review quotes

SaravananThiagarajan

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.

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Data Scientist at a computer software company with 501-1,000 employees

Nov 13, 2023

The solution is complex to use.

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Leshmi Giridharan

Data specialist at a mining and metals company with 11-50 employees

Jan 22, 2024

The training modules could be enhanced. We had to take in-person training to fully understand SageMaker, and while the trainers were great, I think more comprehensive online modules would be helpful.

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Amazon SageMaker

Free Report: Amazon SageMaker Reviews and More

Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: January 2025.

831,265 professionals have used our research since 2012.

SP

Data Scientist at a tech vendor with 10,001+ employees

Dec 16, 2019

I would suggest that Amazon SageMaker provide free slots to allow customers to practice, such as a free slot to try out working with a Sandbox.

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Big Data Solution Architect - Spatial Data Specialist at SCIERA, INC

Aug 10, 2023

In general, improvements are needed on the performance side of the product's graphical user interface-related area since it consumes a lot of time for a user.

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Software Engineer at Sportsbet

Jul 10, 2023

The pricing of the solution is an issue...In SageMaker, monitoring could be improved by supporting more data types other than JSON and CSV.

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Subrata Mukherjee

Senior Technical Architect; Head of Platform at Blenheim Chalcot IT Services India

Nov 13, 2024

Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker.

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VP, Principal at Axtria - Ingenious Insights

Jan 26, 2024

Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process.

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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.

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Tech Lead - Sanlam Fintech Cluster - Data,ML,AI Eng. at Sanlam

Feb 27, 2024

The product must provide better documentation.

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Show 10 more reviews (out of 36)

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