# Amazon SageMaker Software Pricing, Alternatives & More 2026 | Capterra

> With the help of Capterra, learn about Amazon SageMaker Software - reviews, pricing plans, popular comparisons to other Machine Learning products and more.

Source: https://www.capterra.com/p/234216/Amazon-SageMaker

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# 

 Amazon SageMaker Software Review 2026: Features, Reviews, Integrations, Pros & Cons

Last updated on March 13, 2026

Provider data verified by our Software Research team, and reviews moderated by our Reviews Verification team.

[Description](#description)[Use cases](#use-cases)[Alternatives](#alternatives)[Features](#features)[Pricing](#pricing)[Support](#support)[Reviews](#reviews)

Amazon SageMaker

## What is Amazon SageMaker?

Amazon SageMaker is an ML solution that allows data scientists and developers to prepare, train, build and deploy high-quality machine learning (ML). With Amazon SageMaker, data scientists and business analysts can classify and process large amounts of structured and unstructured data using integrated development environments or no-code interfaces.

## What is Amazon SageMaker used for?

[Machine Learning](https://www.capterra.com/machine-learning-software/)

Overall rating

Based on 3 user reviews

Reviews sentiment

Positive

\-

Neutral

\-

Negative

\-

Contact vendor  
for pricing

Free trial  
not available

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## Compare with a popular alternative

Capterra selects software alternatives based on relevant features, verified user reviews and user interactions. Placement may be influenced by client status.

### Amazon SageMaker

4.7 (3)

VS.

[### Rayven](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/)

[5.0 (24)](https://www.capterra.com/p/173908/Rayven-Industrial-business-intelligence/#reviews)

Starting Price

Contact vendor

Starting Price

Contact vendor

Free Trial

Free Version

Pricing Options

Free Trial

Free Version

Ease Of Use

4.0 (3)

Ease Of Use

4.9 (24)

Value For Money

4.5 (2)

Value For Money

5.0 (24)

Customer Service

4.0 (2)

Customer Service

5.0 (24)

## Amazon SageMaker alternatives

[Google Cloud](https://www.capterra.com/p/268690/Google-Cloud-Platform/)

[4.7 (2,259)](https://www.capterra.com/p/268690/Google-Cloud-Platform/reviews/)

Starting price

Contact vendor for pricing

[Learn More](https://www.capterra.com/p/268690/Google-Cloud-Platform/)

[Clickworker](https://www.capterra.com/p/175432/Clickworker/)

[4.3 (58)](https://www.capterra.com/p/175432/Clickworker/reviews/)

Starting price

Contact vendor for pricing

[Learn More](https://www.capterra.com/p/175432/Clickworker/)

[Anaconda](https://www.capterra.com/p/191760/Anaconda/)

[4.6 (86)](https://www.capterra.com/p/191760/Anaconda/reviews/)

Starting price

Contact vendor for pricing

[Learn More](https://www.capterra.com/p/191760/Anaconda/)

[MySQL](https://www.capterra.com/p/11482/MySQL/)

[4.6 (2,094)](https://www.capterra.com/p/11482/MySQL/reviews/)

Starting price

$2000.00

Per User, Per Month

[Learn More](https://www.capterra.com/p/11482/MySQL/)

## Features

Features with the highest number of reviews are displayed first. Those that have no reviews appear next, sorted alphabetically.

Data Capture and Transfer

5.0 (2)

100.00% of 2 reviewers that rated this feature as important or highly important

Import, collect, and capture data from multiple sources

Data Visualization

4.5 (2)

50.00% of 2 reviewers that rated this feature as important or highly important

Graphical representation of data

Predictive Modeling

4.0 (2)

50.00% of 2 reviewers that rated this feature as important or highly important

Analyzing historical and current data and generating a model to help predict future outcomes.

Configurable Workflow

4.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Configure existing workflows to meet your organization's needs

Data Connectors

5.0 (1)

100.00% of 1 reviewers that rated this feature as important or highly important

Connect to big data sources

ML Algorithm Library

3.0 (1)

0.00% of 1 reviewers that rated this feature as important or highly important

Share, track, and store machine learning models and data.

Amazon SageMaker 12 features

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Configure existing workflows to meet your organization's needs

Import, collect, and capture data from multiple sources

Connect to big data sources

Graphical representation of data

Share, track, and store machine learning models and data.

Process of testing an ML algorithm by feeding it training data to learn from

Allows users to manage data from a number of sources

Drag and drop/visual interfaces that allow non-tech users to build without writing code

Predict future data based on historical data sets

Analyzing historical and current data and generating a model to help predict future outcomes.

Create, design and manage workflows for repetitive tasks

Features

4.7 (3)

4.7

Based on 3 reviews

## Pricing

Value for money

4.5 (2)

### Starting price

Contact vendor  
for pricing

Free trial  
available

Value for money

4.5 (2)

4.5

Based on 2 reviews

## Support, customer service and training options

Customer Service

4.0 (2)

Support

-   Email/Help Desk
-   FAQs/Forum
-   Knowledge Base
-   Phone Support
-   24/7 (Live rep)
-   Chat

Training

-   In Person
-   Live Online
-   Webinars
-   Documentation
-   Videos

Deployment

-   Web
-   Android
-   iPhone/iPad

Typical users

-   Freelancers
-   Small businesses
-   Mid size businesses
-   Enterprises

Customer Service

4.0 (2)

4.0

Based on 2 reviews

## User reviews

Overall rating

4.7

Based on 3 reviews

Filter by rating

5(2)

4(1)

3(0)

2(0)

1(0)

Mentioned topic

Sorted by most recent

MS

Maha S.

Assistant Professor

Computer Software

### "Amazon SageMaker: Simplified Machine Learning Models in the Cloud"

4.0

Overall Rating

4.0

4.0

Ease of Use

3.0

3.0

Features

4.0

4.0

Customer Service

3.0

3.0

Likelihood to Recommend

9/10

August 19, 2023

Great experience in training and deploying ML models for IoT and home automation.

Pros

I enjoyed the simple machine learning model training using SageMaker. I used it for creating recommender systems for IoT home automation networks. It is very simple to load data sets from with in the Amazon EC2 cloud using the Amazon S3 datastore. The amazing capability in SageMaker is the automatic feature selection and creation for the ML data model using the SageMaker Data Wrangler. This proved to be very accurate and reduced a lot of the noise in my data sets with minimal configuration on my side. Features are even managed in a separate container to be managed later by allowing addition/removal/updating feature entries. Real-time predictions is another great property in Amazon SageMaker in addition to checking the conformity of the data in the ML model across subsets of the data set to ensure balanced data points/features. Sagemaker can even map the role each feature plays in the prediction to give the developer better sense on how the prediction output is biased/affected by each individual feature.

Cons

Definitely it would be great to have an offline local reference implementation to test against. However, this is a cloud system after all and accordingly, developers lose the local testing advantages.

Switched from

[Keras](https://www.capterra.com/p/171047/Keras/)

[TensorFlow](https://www.capterra.com/p/170397/TensorFlow/)

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

EH

Eunice H.

Data Scientist

Market Research

### "Excellent logiciel pour le Machine Learning"

5.0

Overall Rating

5.0

5.0

Ease of Use

4.0

4.0

Features

5.0

5.0

Customer Service

0.0

0.0

Likelihood to Recommend

9/10

February 8, 2023

J'ai commencé à utiliser Amazon SageMaker au travail car j'avais des soucis d'environnement virtuel et d'incompatibilité sur mon Mac (notamment avec des librairies python comme TensorFlow ou Spacy). SageMaker a réglé tous mes soucis, il est très facile de passer d'un environnement à l'autre (déjà créé par SageMaker d'ailleurs). Je gagne également beaucoup de temps avec les instances plus puissantes.

Pros

J'aime beaucoup passer d'une instance à l'autre, par exemple lorsque je dois faire tourner un modèle de Machine Learning assez lourd avec beaucoup de données, je choisie une instance plus puissante et c'est donc beaucoup plus rapide, cela me fait gagner un temps fou!

Cons

Ce que je n'aime pas c'est que les instances s'allument parfois toute seule (et sont parfois payantes), je dois toujours vérifier que seulement celles dont j'ai besoin sont allumées.

Review source

Non-incentivized review: any software user can leave a review for any product listed on our site. All submitted reviews are subject to our verification process prior to publication.

SM

Senamela M.

Software Engineer

Information Technology and Services

### "Great Gateway to Machine Learning"

5.0

Overall Rating

5.0

5.0

Ease of Use

5.0

5.0

Features

5.0

5.0

Customer Service

5.0

5.0

Likelihood to Recommend

10/10

November 21, 2022

Sagemaker has made my ML Journey less painful and more enjoyable.

Pros

I've had fun using Sagemaker to train models, I also enjoyed the functionality that allows us to provision resources to better suit the ML Training needs.

Cons

Make it easier to delete domains, since leaving resources on the account incurs charges quickly.

Reasons for choosing Amazon SageMaker

Full Suite of Products and a wide array of options.

Review source

Incentivized review: software users are invited to submit an honest review and offered a nominal incentive for their time and effort. All incentivized reviews are subject to our verification process prior to publication.

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[Learn more](https://www.capterra.com/resources/proprietary-data-research/)

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