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Amazon SageMaker pros and cons

3.9 out of 5
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Prominent pros & cons

PROS

Amazon SageMaker simplifies deployment with a one-touch feature and offers comprehensive framework support.
It provides extensive integration capabilities, such as with AWS Lambda, without requiring programming skills for some use cases.
The tool is valued for automating processes and improving ML model development efficiency by aggregating necessary components in one environment.
Features like Autopilot, hyperparameter tuning, API endpoint creation, and ensemble models enhance functionality and effectiveness.
Amazon SageMaker includes powerful tools like its feature store, automated hyperparameter tuning, and AutoML capabilities to optimize machine learning activities.

CONS

Pricing is an issue as high costs can drive companies to explore other cloud options, and it should be cheaper, especially for large data workloads.
There is a need for better documentation with more examples and clearer guidance to make the information more user-friendly.
Scalability could be improved by making integration with networks like Hadoop and Apache Spark easier, and there are better solutions for large data like Databricks.
Creating notebook instances for multiple users is expensive, and the complexity of use is concerning, requiring substantial time to learn.
There are concerns about the security of integrations, especially when exposing data, and improvements in data security and access policy integration are needed.
 

Amazon SageMaker Pros review quotes

SaravananThiagarajan - PeerSpot reviewer
Jul 17, 2024
The technical support of the tool was good.
Tristan Bergh - PeerSpot reviewer
Nov 13, 2023
The superb thing that SageMaker brings is that it wraps everything well. It's got the deployment, the whole framework.
Leshmi Giridharan - PeerSpot reviewer
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.
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,067 professionals have used our research since 2012.
SP
Dec 16, 2019
They are doing a good job of evolving.
Padmanesh NC - PeerSpot reviewer
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.
Asif  Meem - PeerSpot reviewer
Jul 10, 2023
The solution is easy to scale...The documentation and online community support have been sufficient for us so far.
Subrata Mukherjee - PeerSpot reviewer
Nov 13, 2024
The most valuable features in Amazon SageMaker are its AutoML, feature store, and automated hyperparameter tuning capabilities.
Subhash Vaid - PeerSpot reviewer
Jan 26, 2024
The most valuable feature of Amazon SageMaker for me is the model deployment service.
Ethan Kang - PeerSpot reviewer
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.
Natu Lauchande - PeerSpot reviewer
Feb 27, 2024
The tool makes our ML model development a bit more efficient because everything is in one environment.
 

Amazon SageMaker Cons review quotes

SaravananThiagarajan - PeerSpot reviewer
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.
Tristan Bergh - PeerSpot reviewer
Nov 13, 2023
The solution is complex to use.
Leshmi Giridharan - PeerSpot reviewer
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.
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: December 2024.
824,067 professionals have used our research since 2012.
SP
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.
Padmanesh NC - PeerSpot reviewer
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.
Asif  Meem - PeerSpot reviewer
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.
Subrata Mukherjee - PeerSpot reviewer
Nov 13, 2024
Improvements are needed in terms of complexity, data security, and access policy integration in Amazon SageMaker.
Subhash Vaid - PeerSpot reviewer
Jan 26, 2024
Amazon SageMaker could improve in the area of hyperparameter tuning by offering more automated suggestions and tips during the tuning process.
Ethan Kang - PeerSpot reviewer
Oct 28, 2024
When starting a new session, the waiting time can be quite long, ranging from two to five minutes.
Natu Lauchande - PeerSpot reviewer
Feb 27, 2024
The product must provide better documentation.