Amazon SageMaker Reviews & Product Details

Amazon SageMaker is a fully managed service that enables data scientists and developers to build, train, and deploy machine learning (ML) models at scale. It provides a comprehensive suite of tools and infrastructure, streamlining the entire ML workflow from data preparation to model deployment. With SageMaker, users can quickly connect to training data, select and optimize algorithms, and deploy models in a secure and scalable environment. Key Features and Functionality: - Integrated Development Environments (IDEs): SageMaker offers a unified, web-based interface with built-in IDEs, including JupyterLab and RStudio, facilitating seamless development and collaboration. - Pre-built Algorithms and Frameworks: It includes a selection of optimized ML algorithms and supports popular frameworks like TensorFlow, PyTorch, and Apache MXNet, allowing flexibility in model development. - Automated Model Tuning: SageMaker can automatically tune models to achieve optimal accuracy, reducing the time and effort required for manual adjustments. - Scalable Training and Deployment: The service manages the underlying infrastructure, enabling efficient training of models on large datasets and deploying them across auto-scaling clusters for high availability. - MLOps and Governance: SageMaker provides tools for monitoring, debugging, and managing ML models, ensuring robust operations and compliance with enterprise security standards. Primary Value and Problem Solved: Amazon SageMaker addresses the complexity and resource-intensive nature of developing and deploying ML models. By offering a fully managed environment with integrated tools and scalable infrastructure, it accelerates the ML lifecycle, reduces operational overhead, and enables organizations to derive insights and value from their data more efficiently. This empowers businesses to innovate rapidly and implement AI solutions without the need for extensive in-house expertise or infrastructure management.

Seller

Amazon Web Services (AWS)

Discussions

Amazon SageMaker Community

Languages Supported

English, Spanish

Solution Type

All-in-One

Overview by

John Miranda (Digital Marketing Specialist at Amazon Web Services)

Value at a Glance

Averages based on real user reviews.

Time to Implement

2 months

Perceived Cost

$$$$$

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Top-Rated Alternatives

Azure Machine Learning

4.3/5(90)

View All Alternatives

User Insights

Average based on 57 real user reviews.

Implementation Time

2 months

Perceived Cost

$$$$$

Amazon SageMaker Integrations

(7)

Integration information sourced from real user reviews.

G2 reviews are authentic and verified.

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Gourav J.

Machine Learning Engineer

Mid-Market (51-1000 emp.)

6/10/2023

"Amazon SageMaker review"

5/5

What do you like best about Amazon SageMaker?

I am exclusively using Amazon SageMaker for both professional and personal usage. The variety of applications make it handy while working on machine learning tasks. The training and canvas features I've been using for quite some time make my ML tasks faster and more productive. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Amazon SageMaker is a great platform for ML tasks; all features and applications are really easy to use. The feature that needs attention is the offered free trial, which is not sufficient, and Amazon should provide GPU access as well. Apart from this, it's a great ML online platform. Review collected by and hosted on G2.com.

Femina B.

Freelancer

Small-Business (50 or fewer emp.)

6/7/2023

"Not great with image input model"

3/5

What do you like best about Amazon SageMaker?

I like how wonderfully it works based on numbers data or text data. I tried working on it along with other AWS products like AWS Lambda and AWS API Gateway. And the documents or examples are also good for it. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

I wanted to work on passing an image or video input and get the image output out of it but it was not really helpful as it takes the data in Excel format and then we have to save it in an S3 bucket. It retrieves the data from it but I'm not sure how to pass an image in it. Review collected by and hosted on G2.com.

What problems is Amazon SageMaker solving and how is that benefiting you?

Amazon is great with data science projects like cosine similarity and other similar projects as far as I worked on it and it has benefited me. Also, the sample projects attached in it are great. I would definitely work on it in the future. Also, we get access to change the GPU whenever we need, so that's another great service. Review collected by and hosted on G2.com.

Avineet A.

Sr. Cloud Architect

Mid-Market (51-1000 emp.)

10/10/2023

"Complete AWS based AI ML Studio"

4/5

What do you like best about Amazon SageMaker?

Ability to implement AI ML capabilities and leverage existing ML models. Ability to integrate CI CD pipelines for MLOps. Review collected by and hosted on G2.com.

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. CI CD can be more self managed. Review collected by and hosted on G2.com.

Shyam P.

Engineer - Data Scientist

Mid-Market (51-1000 emp.)

6/13/2023

"Amazon Sagemaker Benefits"

5/5

What do you like best about Amazon SageMaker?

I like the endpoint creation which can inference our model through lambda function. Along with Sagemaker I used API gateway as well as to use the model in local environment. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

When I used sagemaker for object detection using py torch then it was not taking the image and I used to resize the image and then pass it to model. But in local it was working without even resizing the image Review collected by and hosted on G2.com.

Verified User in Financial Services

Mid-Market (51-1000 emp.)

6/14/2023

"AWS SageMaker for training/deployment of large-scale recommenders"

4.5/5

What do you like best about Amazon SageMaker?

SageMaker makes it very easy to train and deploy models. The managed infrastructure allows us to focus on business logic without needing to deal with things like cluster management, autoscaling, etc. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Sometimes things can be a little overcomplicated to use. For example, the batch transform functionality requires us to write separate inference containers in addition to real-time inference containers. Review collected by and hosted on G2.com.

Verified User in Computer Software

Enterprise (> 1000 emp.)

4/25/2023

"Lots of features for ML Workflows"

4/5

What do you like best about Amazon SageMaker?

Sagemaker provides a platform for executing ML workflows well-integrated with other AWS services such as S3, Secrets Manager and Lambda etc. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

The Sagemaker Pipelines UI is less friendly than other pipeline orchestration tools such as Airflow and Azure. Sagemaker Studio and Image terminals are nowhere as nice as specialized IDEs such as IntelliJ for development purposes Review collected by and hosted on G2.com.

Debjyoti S.

Lead Data Scientist

Consulting

Enterprise (> 1000 emp.)

6/16/2023

"I use it often for Data Science Solutions"

4/5

What do you like best about Amazon SageMaker?

It's really helps in deploying applications faster and in a very convenient way. The pricing is also light on pocket. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

The thing I dislike about Amazon Sagemaker is, we need to remember some of the commands. Review collected by and hosted on G2.com.

Imrankhan A.

Senior software engineer

Information Technology and Services

Mid-Market (51-1000 emp.)

6/14/2023

"Sagemaker for image based applications"

4.5/5

What do you like best about Amazon SageMaker?

In sagemaker we can have some of basic models and we can create complex AI models and train and test without hassle. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Sagemaker is not having extensive data for images. Review collected by and hosted on G2.com.

Akpovi Ludovic A.

General Manager

Small-Business (50 or fewer emp.)

12/8/2022

"Reliability and Reputation"

5/5

What do you like best about Amazon SageMaker?

Amazon SageMaker is widely present all over the world with remarkable technical support. Excellent product knowledge and details, and the best shipment tracking. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Destination restrictions for certain products for reasons I do not know. But these warnings are instructive to avoid losing money. Review collected by and hosted on G2.com.