Amazon SageMaker Room for Improvement

Sandeep_Pandey
Data Scientist at a tech vendor with 10,001+ employees
The pricing is complicated and should be simplified. 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. This would be beneficial for newcomers, especially those who are getting into the cloud space. They could explore this area and get all of the aspects including data engineering, data recognition, and data transformation. View full review »
PankajUrmaliya
Lead Data Scientist at a tech services company with 201-500 employees
The interface and the IDE could have some improvement. UX isn't bad but could be better. Orchestration of the ML flow can be made easier (like ETL etc.) Scalability to handle big data can be improved by making integration with networks such as Hadoop and Apache Spark easier. Adding certain AI functionalities similar to what DataRobot or Azure AI has would be really great. View full review »
Jaison Jose
Cloud Architect & Support Service Delivery Manager at Almoayyed Computers
AI is a new area and AWS needs to have an internship training program available. This is one place where I see this solution lagging. There is high-level training available, but when you consider that people have been working with Windows, Linux, and various applications for the past 20 years, they know those products inside and out. SageMaker, on the other hand, is a completely new tool. It can be very hard to digest. AWS needs to provide more use cases for SageMaker. There are some, but not enough. They should collect or create more use cases and then distribute them free of charge to the customers. I would like to see a more graphical, low-code interface that can be used to customize SageMaker. View full review »
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: April 2020.
441,726 professionals have used our research since 2012.
reviewer1318050
Consultant at a tech services company with 501-1,000 employees
The product has come a long way and they've added a lot of things, but in terms of improvement I would like to probably have features such as MLflow embedded into it. Additional features I would like to see would include, as mentioned, MLflow and ML Pipelines which are more of a feature rich support of machine learning pipelines as well as scheduling machine learning pipelines, and visualization of machine learning pipelines. View full review »
reviewer1178424
Vice President & CIO at a logistics company with 201-500 employees
I would say the IDE is quite immature, but it is still in its infancy, so I expect it to get better over time. View full review »
Learn what your peers think about Amazon SageMaker. Get advice and tips from experienced pros sharing their opinions. Updated: April 2020.
441,726 professionals have used our research since 2012.