TrustRadius: an HG Insights company

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.

Media

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

1 / 6

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