---
description: Learn more about Amazon SageMaker price, benefits, and disadvantages for businesses in New Zealand. Read verified software reviews and find tools that fit your business needs.
image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress
title: Amazon SageMaker Pricing, Reviews & Features - Capterra New Zealand 2026
---

Breadcrumb: [Home](/) > [Machine Learning Software](/directory/31103/machine-learning/software) > [Amazon SageMaker](/software/1016802/amazon-sagemaker)

# Amazon SageMaker

Canonical: https://www.capterra.co.nz/software/1016802/amazon-sagemaker

> Web-based solution that allows data scientists and developers to prepare, train, build, and deploy high-quality machine learning (ML).
> 
> Verdict: Rated **4.7/5** by 3 users. Top-rated for **Likelihood to recommend**.

-----

## Quick Stats & Ratings

| Metric | Rating | Detail |
| **Overall** | **4.7/5** | 3 Reviews |
| Ease of Use | 4.0/5 | Based on overall reviews |
| Customer Support | 4.0/5 | Based on overall reviews |
| Value for Money | 4.5/5 | Based on overall reviews |
| Features | 4.7/5 | Based on overall reviews |
| Recommendation percentage | 90% | (9/10 Likelihood to recommend) |

## About the vendor

- **Company**: Amazon Web Services
- **Location**: Seattle, US
- **Founded**: 2006

## Commercial Context

- **Pricing model**:  (Free version available)
- **Pricing Details**: Contact AWS for information on pricing. AWS provides a usage-based pricing model for all their SageMaker products. The price scales to the type of instance used.
- **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500
- **Deployment & Platforms**: Cloud, SaaS, Web-based
- **Supported Languages**: English
- **Available Countries**: United States

## Features

- Activity Dashboard
- Data Visualisation
- ML Algorithm Library
- Model Training
- Predictive Modeling
- Workflow Management

## Category

- [Machine Learning Software](https://www.capterra.co.nz/directory/31103/machine-learning/software)

## Alternatives

1. [Rayven](https://www.capterra.co.nz/software/173908/rayven-industrial-business-intelligence) — 5.0/5 (24 reviews)
2. [Google Cloud](https://www.capterra.co.nz/software/170983/google-cloud-platform) — 4.7/5 (2262 reviews)
3. [Clickworker](https://www.capterra.co.nz/software/175432/clickworker) — 4.3/5 (58 reviews)
4. [Anaconda](https://www.capterra.co.nz/software/191760/anaconda) — 4.6/5 (86 reviews)
5. [MySQL](https://www.capterra.co.nz/software/11482/mysql) — 4.6/5 (2094 reviews)

## Reviews

### "Amazon SageMaker: Simplified Machine Learning Models in the Cloud" — 4.0/5

> **Maha** | *19 August 2023* | Computer Software | Recommendation rating: 9.0/10
> 
> **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.
> 
> Great experience in training and deploying ML models for IoT and home automation.

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### "Excellent logiciel pour le Machine Learning" — 5.0/5

> **Eunice** | *8 February 2023* | Market Research | Recommendation rating: 9.0/10
> 
> **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.
> 
> 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.

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### "Great Gateway to Machine Learning" — 5.0/5

> **Senamela** | *21 November 2022* | Information Technology & Services | Recommendation rating: 10.0/10
> 
> **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.
> 
> Sagemaker has made my ML Journey less painful and more enjoyable.

## Links

- [View on Capterra](https://www.capterra.co.nz/software/1016802/amazon-sagemaker)

## This page is available in the following languages

| Locale | URL |
| en | <https://www.capterra.com/p/234216/Amazon-SageMaker/> |
| en-AE | <https://www.capterra.ae/software/1016802/amazon-sagemaker> |
| en-AU | <https://www.capterra.com.au/software/1016802/amazon-sagemaker> |
| en-CA | <https://www.capterra.ca/software/1016802/amazon-sagemaker> |
| en-GB | <https://www.capterra.co.uk/software/1016802/amazon-sagemaker> |
| en-IE | <https://www.capterra.ie/software/1016802/amazon-sagemaker> |
| en-IL | <https://www.capterra.co.il/software/1016802/amazon-sagemaker> |
| en-IN | <https://www.capterra.in/software/1016802/amazon-sagemaker> |
| en-NZ | <https://www.capterra.co.nz/software/1016802/amazon-sagemaker> |
| en-SG | <https://www.capterra.com.sg/software/1016802/amazon-sagemaker> |
| en-ZA | <https://www.capterra.co.za/software/1016802/amazon-sagemaker> |

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