AWS Sagemaker Insights

What is AWS Sagemaker?

Amazon SageMaker is a fully managed machine learning service. It enables data scientists and developers to build, train, and deploy machine learning models quickly. SageMaker provides a comprehensive set of tools and services covering the entire ML workflow, from data preparation to model deployment and monitoring. Common use cases include predictive analytics, computer vision, natural language processing, and fraud detection.

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What other technologies are related to AWS Sagemaker?

AWS Sagemaker Competitor Technologies

AWS Bedrock

AWS Bedrock provides a different approach to model access and deployment, offering Foundation Models, and thus competes in the broader ML platform space.

mentioned alongside AWS Sagemaker in 46% (3.3k) of relevant job posts

Azure ML

Azure ML is a direct competitor, offering a similar suite of tools for building, training, and deploying machine learning models.

mentioned alongside AWS Sagemaker in 25% (4.3k) of relevant job posts

GCP Vertex AI

GCP Vertex AI is a direct competitor, providing a similar end-to-end machine learning platform on Google Cloud.

mentioned alongside AWS Sagemaker in 26% (3.5k) of relevant job posts

AWS Sagemaker Complementary Technologies

MLFlow

MLflow is an open-source platform for managing the ML lifecycle, including experiment tracking, model packaging, and deployment. It is complementary to SageMaker as it can be used for model management and tracking, and integrated within SageMaker workflows.

mentioned alongside AWS Sagemaker in 20% (4.5k) of relevant job posts

TensorFlow

TensorFlow is a popular open-source machine learning framework that is often used with SageMaker for building and training models. SageMaker supports TensorFlow as a framework.

mentioned alongside AWS Sagemaker in 6% (11.1k) of relevant job posts

AWS Glue

AWS Glue is a data integration service that can be used to prepare data for machine learning in SageMaker.

mentioned alongside AWS Sagemaker in 10% (6.5k) of relevant job posts