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Amazon SageMaker pros and cons

3.6 out of 5
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Amazon SageMaker Pros review quotes

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.
SP
Dec 16, 2019
They are doing a good job of evolving.
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,857 professionals have used our research since 2012.
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.
Subhash Vaid - PeerSpot reviewer
Jan 26, 2024
The most valuable feature of Amazon SageMaker for me is the model deployment service.
Natu Lauchande - PeerSpot reviewer
Feb 27, 2024
The tool makes our ML model development a bit more efficient because everything is in one environment.
VK
Dec 26, 2023
I have contacted the solution's technical support, and they were really good. I rate the technical support a ten out of ten.
PU
Sep 18, 2020
The deployment is very good, where you only need to press a few buttons.
JJ
Feb 27, 2020
The most valuable feature of Amazon SageMaker is that you don't have to do any programming in order to perform some of your use cases.
 

Amazon SageMaker Cons review quotes

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.
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.
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: April 2024.
768,857 professionals have used our research since 2012.
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.
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.
Natu Lauchande - PeerSpot reviewer
Feb 27, 2024
The product must provide better documentation.
VK
Dec 26, 2023
The payment and monitoring metrics are a bit confusing not only for Amazon SageMaker but also for the range of other products that fall under AWS, especially for a new user of the product.
PU
Sep 18, 2020
Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier.
JJ
Feb 27, 2020
AI is a new area and AWS needs to have an internship training program available.