Domino Model Monitor
5.6#14 in machine learning model monitoring softwareWebAPISelf-hosted
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| Fact | Domino Model Monitor | Evidently AI |
|---|---|---|
| Integrations | Domino's partner ecosystem includes Anaconda, Snowflake, Palantir, RStudio, SageMaker, MathWorks, Stata, Collibra, DataRobot, H2O.ai, Okera, Teradata, Trifacta, and Pinnacle 21. | Documented integration examples cover Jupyter and Colab, Streamlit, MLflow, DVCLive, Airflow, Metaflow, FastAPI, PostgreSQL, Prefect, Grafana, Prometheus and AWS SES. |
| Purpose | Domino Model Monitor automates model evaluation and alerts when production models degrade enough to require expert review. | Evidently evaluates, tests, and monitors LLMs, RAG applications, AI agents, and machine-learning models. |
| Support | The Cloud and Premium plans include premium support with a two-business-day non-urgent SLA, while Enterprise includes one-business-day non-urgent support. | Community support is provided through Discord, GitHub issue reporting, documentation, courses and direct email contact. |
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.
It suits teams evaluating or monitoring AI applications and predictive ML models, including those that want open-source tooling or a hosted platform. Its synthetic-data and red-team capabilities may also suit teams assessing adversarial inputs and risks.