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Revisamos 313 resultados en vivo para amazon sagemaker y los redujimos a 3 opciones que parecen valer más la pena comparar primero.
Los temas más fuertes en esta lista son Artificial Intelligence y Machine Learning.
Fuente: Amazon Web Services (AWS)
Descripción
A comprehensive service to build, train, and deploy machine learning (ML) models for any use case, including IoT-specific models. It simplifies the AI side of AIoT by providing high-performance tools for model development and edge deployment.
Ideal para
ML model training, Predictive maintenance, Iot analytics y Ai development
Valoración
Fuente: Amazon Web Services (AWS)
Descripción
Amazon WorkSpaces is a fully managed, secure Desktop-as-a-Service (DaaS) solution. It provides users with a reliable cloud desktop streaming experience, accessible from any device. The service includes options like WorkSpaces Personal for persistent desktop environments and WorkSpaces Core for third-party VDI management. Operating within the Asia Pacific (Singapore) Region (ap-southeast-1), it ensures low-latency performance for local users while maintaining high security and encrypted storage.
Ideal para
Remote workforces, Persistent desktop needs, AWS ecosystem users y Secure desktop streaming
Valoración
Fuente: Amazon Web Services (AWS) Singapore
Descripción
Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. It offers up to five times the throughput of standard MySQL and is highly durable with multi-region replication capabilities.
Ideal para
High Performance workloads, MySQL compatibility, PostgreSQL compatibility y Fault Tolerant applications
Valoración
| Comparar | Amazon SageMaker | Amazon WorkSpaces | Amazon Aurora |
|---|---|---|---|
| Fuente | Amazon Web Services (AWS) | Amazon Web Services (AWS) | Amazon Web Services (AWS) Singapore |
| Descripción | A comprehensive service to build, train, and deploy machine learning (ML) models for any use case, including IoT-specific models. It simplifies the AI side of AIoT by providing high-performance tools for model development and edge deployment. | Amazon WorkSpaces is a fully managed, secure Desktop-as-a-Service (DaaS) solution. It provides users with a reliable cloud desktop streaming experience, accessible from any device. The service includes options like WorkSpaces Personal for persistent desktop environments and WorkSpaces Core for third-party VDI management. Operating within the Asia Pacific (Singapore) Region (ap-southeast-1), it ensures low-latency performance for local users while maintaining high security and encrypted storage. | Amazon Aurora is a MySQL and PostgreSQL-compatible relational database built for the cloud that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. It offers up to five times the throughput of standard MySQL and is highly durable with multi-region replication capabilities. |
| Ideal para | ML model training, Predictive maintenance, Iot analytics y Ai development | Remote workforces, Persistent desktop needs, AWS ecosystem users y Secure desktop streaming | High Performance workloads, MySQL compatibility, PostgreSQL compatibility y Fault Tolerant applications |
| Acción | |||
| Valoración |
Si quieres empezar con la opción más equilibrada, te recomiendo:
"Amazon SageMaker de Amazon Web Services (AWS)."
Lo elegí porque Perfect for developers looking to integrate advanced machine learning models directly into their IoT device ecosystems.