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)

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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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Vaibhav S.

Enterprise (> 1000 emp.)

6/22/2020

"Excellent product for end to end Machine Learning"

4.5/5

What do you like best about Amazon SageMaker?

Easy deployment of ML Model as HTTP endpoints. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Not enough documentation available on latest features like Batch Transform Review collected by and hosted on G2.com.

Recommendations to others considering Amazon SageMaker:

One of the best tool for end to end Machine Learning Review collected by and hosted on G2.com.

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

Using Sagemaker to build xgboost model. Its UI is very well structured and has support for almost every ML model and python packages. Review collected by and hosted on G2.com.

Verified User in Hospital & Health Care

Mid-Market (51-1000 emp.)

9/30/2019

"Best AutoML tool available in current era"

4.5/5

What do you like best about Amazon SageMaker?

You can integrate with other AWS ecosystem components very easily, which is one of the best features of Amazon SageMaker. Plus, you will be charged based on your usage. It has Jupyter Notebook, which facilitates developer efficiency, and it is also very scalable with customization available at your fingertips. All machine learning algorithms are very well defined and understandable, and any machine learning engineer with basic experience can work with SageMaker. Most machine learning and deep learning libraries are supported. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

It demands good coding knowledge to use it. If you don't have any prior experience with coding or coding languages, you might find it hard to use. Features like drag and drop are missing, which are available with other tools. On a larger dataset, sometimes it takes longer than expected. Review collected by and hosted on G2.com.

Recommendations to others considering Amazon SageMaker:

I would advise those people who have good knowledge of coding and want to develop AutoML and customize it. Every ML engineer must try it once. Review collected by and hosted on G2.com.

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

We are using Amazon SageMaker to build models on healthcare data. By doing this, we can have a proper solution for our problems, allowing us to delve deeper into the process of analyzing data and finalizing our approach. We are using possible Amazon ecosystem tools to facilitate our work and complete it within a predefined time. Review collected by and hosted on G2.com.

Verified User in Oil & Energy

Mid-Market (51-1000 emp.)

6/11/2020

Business partner of the seller or seller's competitor, not included in G2 scores.

"Sage maker is an excellent tool, we can easily do our ML models"

5/5

What do you like best about Amazon SageMaker?

Best one is this is online machine learning platform very easy to understand and train developers, it is so easy to implement all our machine learning models, one can easily do with out much expertise Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

I believe all good, may be some sort of UI experience need to improve. All are good only Review collected by and hosted on G2.com.

Verified User in Research

Small-Business (50 or fewer emp.)

6/19/2020

"Sagemaker is a great ML tool to use in business world"

4/5

What do you like best about Amazon SageMaker?

The overall simplicity it provides as a tool. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Truth is i haven't found anything negative for now Review collected by and hosted on G2.com.

Recommendations to others considering Amazon SageMaker:

If you decide to use Sagemaker to bring ml products into production, you will really get excited about the ease of use. Review collected by and hosted on G2.com.

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

We deploy ml models in AWS using SageMaker. The easy deployment steps probably make SageMaker such a popular choice. Review collected by and hosted on G2.com.

Verified User in Information Technology and Services

Enterprise (> 1000 emp.)

6/10/2020

"Sagemaker is useful for end to end ML pipeline"

4.5/5

What do you like best about Amazon SageMaker?

I like the concept of having an infrastructure where you can train the model and deploy to the public for seamlessly. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

I feel there could be more helpful resources available for the getting started that would help. Review collected by and hosted on G2.com.

Verified User in Information Services

Small-Business (50 or fewer emp.)

6/18/2020

"Its alive"

1/5

What do you like best about Amazon SageMaker?

I like the AWS environment and automated access to Jupyter notebooks. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

It restricts the way I am willing to do my work. Review collected by and hosted on G2.com.

Vivek A.

Web Application Developer

Computer Software

Mid-Market (51-1000 emp.)

9/5/2018

"Easy to train and deploy the Machine Learning model"

4/5

What do you like best about Amazon SageMaker?

I have worked with DeepLens by AWS for various face recognition application. It's very easy to use and configure. You don't need your own NVIDIA machine to train the model. If you have more data and need a powerful machine to train. Just upgrade your cloud and start training. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

Sometimes AWS doesn't say some of the configurations explicitly, you have to be familiar with AWS. There are very less good resources for that. Our company has some help from AWS marketing developer Review collected by and hosted on G2.com.

maría jose g.

Software Developer

Small-Business (50 or fewer emp.)

6/22/2018

"Automatic Learning !"

5/5

What do you like best about Amazon SageMaker?

I love this platform is so simple because it allows me as a developer to create data in a simple way I do not have to work in a tedious way implementing algorithms because it gives me everything is so simple it saves me many hours of work because with it I can implement up to my own framework I work without any problem, I can also have notebooks and connect directly in S3 .

To be able to verify if the model I have generated I like I can do integrated A / B tests and in this way I achieve better results and success in what I look for . its simplicity has allowed me to work very efficiently and very quickly acquiring very complete and successful works and models Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

for beginners who wish to use this platform the only disadvantage is that it requires very high payments because this platform implements the GPU computation to provide a better training of the GPU which makes them faster Review collected by and hosted on G2.com.

Recommendations to others considering Amazon SageMaker:

it is a great platform I recommend it, but at the beginning it generates a lot of expenses you can recover as you implement it in your business Review collected by and hosted on G2.com.

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

Amazon SageMaker gives me easier access to other known learning frameworks, while managing the infrastructure for the creation, training and delivery of my work models, since I can evaluate and implement models in a flexible and efficient way in a very simple way Review collected by and hosted on G2.com.

Alvaro I.

Director of Web Development

Mid-Market (51-1000 emp.)

6/20/2018

"ML/AI with AWS SageMaker"

4.5/5

What do you like best about Amazon SageMaker?

- Lots of Amazon examples of use cases where you will use this kind of tools

- The configuration for your environment is super easy

- The SDK is simple to use Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

- Since it's "new," you won't find much about it on the Internet.

- I think it would be super helpful to have other languages in the Development Kit besides Sparks and Python (probably Ruby or Java or even JavaScript). Review collected by and hosted on G2.com.

Recommendations to others considering Amazon SageMaker:

Learn Python Review collected by and hosted on G2.com.

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

At this stage, we are testing it with a parking rotation inside our business offices. It's more than a Proof of Concept kind of app, which has helped me fully understand the concepts and the utility of this tool. If you are planning to start digging into the Machine Learning and Artificial Intelligence world, this might be the best way to start. You will obviously need to understand how to code, but if you are familiar with Python, that will be enough. Review collected by and hosted on G2.com.

Saransh D.

Graduate Research Assistant

Higher Education

Enterprise (> 1000 emp.)

6/29/2018

"My experience has been good with this software. "

4/5

What do you like best about Amazon SageMaker?

It has enough room for experienced people as well as for those who just need things done without going much deeper into building models. It provides easy and efficient customization which easy to alter and change. If one is already using Amazon, then there is no need to transition. There are a lot of examples available to work with. Review collected by and hosted on G2.com.

What do you dislike about Amazon SageMaker?

The algorithms are there and they can be implemented with ease but the user needs better description as to where they are located so that they can find them more easily. There should be some options which make this mobile friendly. Since it is a new software, there isn't much documentation out for this software. Review collected by and hosted on G2.com.