Domino Model Monitor
5.6#14 in machine learning model monitoring softwareWebAPISelf-hosted
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| Fact | Domino Model Monitor | NannyML |
|---|---|---|
| Drift monitoring | The monitoring platform tracks data drift and model quality degradation with integrated monitoring and alerts. | NannyML detects concept drift and multivariate and univariate data drift, and relates drift alerts to changes in model performance. |
| Founded | 2013 | Belgian company records state that NannyML was established on 19 March 2020. |
| Integrations | Domino's partner ecosystem includes Anaconda, Snowflake, Palantir, RStudio, SageMaker, MathWorks, Stata, Collibra, DataRobot, H2O.ai, Okera, Teradata, Trifacta, and Pinnacle 21. | NannyML Cloud is offered through both Azure Marketplace and AWS Marketplace. |
| Purpose | Domino Model Monitor automates model evaluation and alerts when production models degrade enough to require expert review. | NannyML monitors deployed machine-learning models and estimates model performance even when ground truth is delayed or absent. |
Domino Model Monitor suits large AI-driven enterprises and regulated organizations monitoring production models. It is especially relevant where teams need drift alerts, retraining workflows, or self-managed deployment options.
NannyML suits teams that need to monitor deployed models when ground truth is delayed or absent, and connect model performance with business outcomes. It can also suit teams looking for self-managed open-source installation or Cloud deployment.