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What is Datatron MLOps Platform?

Datatron is an MLOps platform that helps businesses deploy, catalog, manage, monitor, & govern ML models in production (on-prem, in any cloud, or integrated feature-by-feature via our API). Datatron is vendor, library, and framework agnostic and supports models built on any stack, including AWS, Azure, GCP, SAS, H2O, Python, R, Scikit-Learn, and Tensor-Flow. Whether users are just getting started in MLOps, or want to remedy or supplement a homegrown solution, Datatron aims to provide a solution.

Videos

Screenshots

Screenshot of "AI Health" Dashboard - See the health of your program in a single pane of glass, including drift, bias, and custom performance metrics
Screenshot of Monitor for bias and drift, and data scientists can use Datatron as a starting point to investigate issue root cause
Screenshot of Datatron's patented static endpoint allows endless configurations in the gateway, including a/b testing, shadow mode, and canary mode
Screenshot of Both real-time inferencing and offline batch jobs can be configured and deployed in the ML gateway.
Screenshot of Simplified Kubernetes Management - Provision environments, create clusters, and manage Kubernetes in just a few clicks
Screenshot of JupyterHub Integration - Upload, download, register, share, and deploy models right from within your Notebook

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Screenshot of "AI Health" Dashboard - See the health of your program in a single pane of glass, including drift, bias, and custom performance metrics

Technical Details

Technical Details
Deployment TypesOn-Premise, SaaS
Operating SystemsLinux
Mobile ApplicationNo
Supported CountriesUnited States, Canada, Europe, and worldwide
Supported LanguagesEnglish

FAQs

What are Datatron MLOps Platform's top competitors?
DataRobot, Domino Enterprise MLOps Platform, and WhyLabs are common alternatives for Datatron MLOps Platform.
Who uses Datatron MLOps Platform?
The most common users of Datatron MLOps Platform are from Enterprise.