The G2 on Amazon SageMaker

Amazon SageMaker Pros and Cons: Top Advantages and Disadvantages

Quick AI Summary Based on G2 Reviews

Generated from real user reviews

Users appreciate the robust AI/ML capabilities of Amazon SageMaker, benefiting from seamless integration and built-in algorithms. (4 mentions)

Users value the seamless AI integration in Amazon SageMaker, enhancing their ML model deployment and management capabilities. (3 mentions)

Users value the easy integrations of Amazon SageMaker, enhancing collaboration and MLOps with responsive customer support. (3 mentions)

Users appreciate the seamless integrations of Amazon SageMaker, facilitating collaboration and enhancing AI/ML workflows effectively. (3 mentions)

Users value the robust AI and ML capabilities of Amazon SageMaker, enhancing their machine learning development experience. (2 mentions)

Users value the integrated platform of Amazon SageMaker for simplifying the entire machine learning lifecycle efficiently. (2 mentions)

Users find Amazon SageMaker expensive, particularly for large-scale tasks, leading to unpredictable costs and complex pricing management. (4 mentions)

Users find the pricing structure complex and often face high costs with Amazon SageMaker's long-running jobs and deployments. (2 mentions)

Users find the complex pricing structure of Amazon SageMaker can lead to unexpected costs and confusion. (2 mentions)

Users feel the complex interface of Amazon SageMaker is cluttered and lacks a seamless web experience. (1 mentions)

Users highlight the responsibility for cost management with Amazon SageMaker, especially when testing larger models incurs extra expenses. (1 mentions)

Top Pros or Advantages of Amazon SageMaker

1. Features

Users appreciate the robust AI/ML capabilities of Amazon SageMaker, benefiting from seamless integration and built-in algorithms.

See 4 mentions

See Related User Reviews

Avineet A.

Mid-Market (51-1000 emp.)

4.0/5

"Complete AWS based AI ML Studio"

What do you like about Amazon SageMaker?

Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD pipelines for MLOps.

Krishna K.

Small-Business (50 or fewer emp.)

5.0/5

"The infrastructure is taken care"

What do you like about Amazon SageMaker?

Provision of built in Algorithms and framework. Lot of the times, it's the data that causes the issues with the predictions. When we got the data righ

2. AI Integration

Users value the seamless AI integration in Amazon SageMaker, enhancing their ML model deployment and management capabilities.

See 3 mentions

See Related User Reviews

Avineet A.

Mid-Market (51-1000 emp.)

4.0/5

"Complete AWS based AI ML Studio"

What do you like about Amazon SageMaker?

Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD pipelines for MLOps.

Pranav A.

Enterprise (> 1000 emp.)

4.0/5

"Best ML tool there"

What do you like about Amazon SageMaker?

Offers managed Jupyter notebooks (SageMaker Studio, Studio Lab), supports popular ML frameworks (TensorFlow, PyTorch, MXNet), and provides tools for d

3. Easy Integrations

Users value the easy integrations of Amazon SageMaker, enhancing collaboration and MLOps with responsive customer support.

See 3 mentions

See Related User Reviews

Avineet A.

Mid-Market (51-1000 emp.)

4.0/5

"Complete AWS based AI ML Studio"

What do you like about Amazon SageMaker?

Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD pipelines for MLOps.

Muhamamd U.

Small-Business (50 or fewer emp.)

4.5/5

"Powering the Potential of AWS SageMaker in Data Science Projects"

What do you like about Amazon SageMaker?

It is highly scalable, very compute-powerful, very well integrated with most vendors' data warehouses and data lakes, and can be accessed in the brows

4. Integrations

Users appreciate the seamless integrations of Amazon SageMaker, facilitating collaboration and enhancing AI/ML workflows effectively.

See 3 mentions

See Related User Reviews

Avineet A.

Mid-Market (51-1000 emp.)

4.0/5

"Complete AWS based AI ML Studio"

What do you like about Amazon SageMaker?

Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD pipelines for MLOps.

Muhamamd U.

Small-Business (50 or fewer emp.)

4.5/5

"Powering the Potential of AWS SageMaker in Data Science Projects"

What do you like about Amazon SageMaker?

It is highly scalable, very compute-powerful, very well integrated with most vendors' data warehouses and data lakes, and can be accessed in the brows

5. AI Capabilities

Users value the robust AI and ML capabilities of Amazon SageMaker, enhancing their machine learning development experience.

See 2 mentions

See Related User Reviews

Avineet A.

Mid-Market (51-1000 emp.)

4.0/5

"Complete AWS based AI ML Studio"

What do you like about Amazon SageMaker?

Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD pipelines for MLOps.

Pranav A.

Enterprise (> 1000 emp.)

4.0/5

"Best ML tool there"

What do you like about Amazon SageMaker?

Offers managed Jupyter notebooks (SageMaker Studio, Studio Lab), supports popular ML frameworks (TensorFlow, PyTorch, MXNet), and provides tools for d

6. Integrated Platform

Users value the integrated platform of Amazon SageMaker for simplifying the entire machine learning lifecycle efficiently.

See 2 mentions

See Related User Reviews

Muhamamd U.

Small-Business (50 or fewer emp.)

4.5/5

"Powering the Potential of AWS SageMaker in Data Science Projects"

What do you like about Amazon SageMaker?

It is highly scalable, very compute-powerful, very well integrated with most vendors' data warehouses and data lakes, and can be accessed in the brows

Ranisha R.

Mid-Market (51-1000 emp.)

5.0/5

"Excellent"

What do you like about Amazon SageMaker?

What I like best about Amazon SageMaker is its ability to manage the entire machine learning lifecycle in one integrated platform. It simplifies model

Top Cons or Disadvantages of Amazon SageMaker

1. Expensive

Users find Amazon SageMaker expensive, particularly for large-scale tasks, leading to unpredictable costs and complex pricing management.

See 4 mentions

See Related User Reviews

Muhamamd U.

Small-Business (50 or fewer emp.)

4.5/5

"Powering the Potential of AWS SageMaker in Data Science Projects"

What do you dislike about Amazon SageMaker?

I can hardly make an estimate of the price calculation. Even though there is some tool called AWS pricing calculator, the list of available configurat

Krishna K.

Small-Business (50 or fewer emp.)

5.0/5

"The infrastructure is taken care"

What do you dislike about Amazon SageMaker?

Though we are getting compute for a reasonable costs, the onus of responsibility to run the large model lies witth the users. When they run larger mod

2. Complexity

Users find the pricing structure complex and often face high costs with Amazon SageMaker's long-running jobs and deployments.

See 2 mentions

See Related User Reviews

Pranav A.

Enterprise (> 1000 emp.)

4.0/5

"Best ML tool there"

What do you dislike about Amazon SageMaker?

SageMaker is expensive, especially for long-running training jobs, large-scale deployments, or when using high-performance instances. The pay-as-you-g

Ranisha R.

Mid-Market (51-1000 emp.)

5.0/5

"Excellent"

What do you dislike about Amazon SageMaker?

What I dislike about Amazon SageMaker is that its pricing can be complex and quickly become expensive, especially for long-running training jobs or la

3. Complexity Issues

Users find the complex pricing structure of Amazon SageMaker can lead to unexpected costs and confusion.

See 2 mentions

See Related User Reviews

Pranav A.

Enterprise (> 1000 emp.)

4.0/5

"Best ML tool there"

What do you dislike about Amazon SageMaker?

SageMaker is expensive, especially for long-running training jobs, large-scale deployments, or when using high-performance instances. The pay-as-you-g

Ranisha R.

Mid-Market (51-1000 emp.)

5.0/5

"Excellent"

What do you dislike about Amazon SageMaker?

What I dislike about Amazon SageMaker is that its pricing can be complex and quickly become expensive, especially for long-running training jobs or la

4. Complex Interface

Users feel the complex interface of Amazon SageMaker is cluttered and lacks a seamless web experience.

See 1 mentions

See Related User Reviews

Avineet A.

Mid-Market (51-1000 emp.)

4.0/5

"Complete AWS based AI ML Studio"

What do you dislike about Amazon SageMaker?

User Interface could be less cluttered and controlled, needs to be more web like. At the moment it looks and feels like a client tool hosted on web. C

5. Cost

Users highlight the responsibility for cost management with Amazon SageMaker, especially when testing larger models incurs extra expenses.

See 1 mentions

See Related User Reviews

Krishna K.

Small-Business (50 or fewer emp.)

5.0/5

"The infrastructure is taken care"

What do you dislike about Amazon SageMaker?

Though we are getting compute for a reasonable costs, the onus of responsibility to run the large model lies witth the users. When they run larger mod

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G2 reviews are authentic and verified.

Here's how.

Verified User in Sporting Goods

Small-Business (50 or fewer emp.)

9/9/2018

"Aws sagemaker review"

4.5/5

What do you like best about Amazon SageMaker?

I loved that I could upload all my data to S3 and then train my model from there. Also, the algorithms provided were very useful Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Not much to dislike other than the fact that AWS lacked the region that is closer to me. Review collected by and hosted on G2.com.

Victoria P.

Web Developer

Computer Software

Small-Business (50 or fewer emp.)

8/19/2018

"Good Software !"

5/5

What do you like best about Amazon SageMaker?

It offers simple and effective personalization which simple to modify and alter. It integrates all the very best pieces of numerous programs in a user interface that is easy to use. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

There ought to be some choices making this mobile friendly. For novices who want to utilize this platform the only drawback is that it needs high payments. Review collected by and hosted on G2.com.

Verified User in Education Management

Mid-Market (51-1000 emp.)

6/18/2018

"Open source AWS that is clean and accessible"

5/5

What do you like best about Amazon SageMaker?

It incorporates all of the best pieces of multiple programs in an interface that is user friendly. It includes examples and walkthroughs on how to use the different features so you can learn through usage. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

I don't like that it is run by amazon, and not a more reliable developer. This is nearly made up for by it being open source though Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

9/12/2018

"Visit the site weekly and helps fulfill my clients requests"

3.5/5

What do you like best about Amazon SageMaker?

How easy it is to use. Tech Support is a big help when needed Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Sometimes it breaks down and we need to open a case with Tech Support. Review collected by and hosted on G2.com.

Verified User in Construction

Small-Business (50 or fewer emp.)

5/4/2018

"Wonderful world of Amazon SageMaker"

5/5

What do you like best about Amazon SageMaker?

Incredibly efficient program. From project conception to construction documents, sagemaker streamlines the process. Many features save days if not weeks of time. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

At times sagemaker can be overly formulaic. This shackles creativity to some degree. The interface can at times be anything but intuitive, which leads to a long and arduous learning curve. Review collected by and hosted on G2.com.