Tech Insights

Model Registry

Last updated May 19, 2025, generated by Sumble

What is Model Registry?

A Model Registry is a centralized repository for managing machine learning models. It tracks model versions, metadata (such as training parameters, data sources, and performance metrics), and lineage. It facilitates model deployment, monitoring, and governance by providing a single source of truth for all models within an organization. Common uses include version control for models, collaboration among data scientists, and streamlined model deployment pipelines.

Find organizations using Model Registry on Sumble →

What other technologies are related to Model Registry?

Model Registry Competitor Technologies

MLFlow

MLflow provides a model registry component for managing and versioning machine learning models, directly competing with dedicated model registry solutions.

mentioned alongside Model Registry in 0% (73) of relevant job posts

AWS Sagemaker

SageMaker provides its own model registry as part of its broader machine learning platform, offering similar functionality to a standalone model registry.

mentioned alongside Model Registry in 0% (52) of relevant job posts

Databricks

Databricks provides a managed MLflow service, including a model registry. It serves as a competitor to other model registry offerings.

mentioned alongside Model Registry in 0% (62) of relevant job posts

Model Registry Complementary Technologies

Airflow

Airflow is a workflow management platform. It can be used to automate the process of training, registering, and deploying models, making it complementary to a model registry.

mentioned alongside Model Registry in 0% (70) of relevant job posts

Docker

Docker is a containerization platform. Model registries often store containerized models, and Docker facilitates the deployment of these models. Thus it is complementary.

mentioned alongside Model Registry in 0% (72) of relevant job posts

Git

Git is a version control system. It can be used for storing code and other artifacts related to models, and could be used to keep track of versions, but is very basic and could be used in conjunction with a model registry.

mentioned alongside Model Registry in 0% (70) of relevant job posts