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Domino Model Monitor vs NannyML

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NannyML

7.9#4 in machine learning model monitoring softwareFrom $99 a month
Free planWebAPILinuxSelf-hosted
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What both publish

FactDomino Model MonitorNannyML
Drift monitoringThe 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.
Founded2013Belgian company records state that NannyML was established on 19 March 2020.
IntegrationsDomino'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.
PurposeDomino 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 plans

  • Domino CloudPriced on request
  • EnterprisePriced on request
  • PremiumPriced on request

NannyML plans

  • Open SourceFree
  • Starter (beta)$99 a month
  • Starter$399 a month
  • Scale$999 a month
  • Pro (beta)$3,800 a month
  • EnterprisePriced on request

Pick Domino Model Monitor if…

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.

Pick NannyML if…

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.

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