Comet ML vs. Datatron MLOps Platform

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Comet ML
Score 8.0 out of 10
N/A
Comet.ml is an MLOps software that allows engineers and data scientists to automatically track their datasets, code changes, experimentation history, and production models to drive efficiency, transparency, and reproducibility. Comet allows data scientists to maintain their preferred workflow and tools, while tracking previous work and collaborating throughout the iterative process.
$0
per month
Datatron MLOps Platform
Score 0.0 out of 10
Enterprise companies (1,001+ employees)
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…N/A
Pricing
Comet MLDatatron MLOps Platform
Editions & Modules
Starter
$50
per month per user
Community
Free
Enterprise
Custom
No answers on this topic
Offerings
Pricing Offerings
Comet MLDatatron MLOps Platform
Free Trial
YesYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
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Comet MLDatatron MLOps Platform
Small Businesses
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Score 8.5 out of 10
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Medium-sized Companies
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Score 8.5 out of 10
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Score 8.5 out of 10
Enterprises
Dataiku
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Score 8.6 out of 10
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User Testimonials
Comet MLDatatron MLOps Platform
ScreenShots

Datatron MLOps Platform Screenshots

Screenshot of "AI Health" Dashboard - See the health of your program in a single pane of glass, including drift, bias, and custom performance metricsScreenshot of Monitor for bias and drift, and data scientists can use Datatron as a starting point to investigate issue root causeScreenshot of Datatron's patented static endpoint allows endless configurations in the gateway, including a/b testing, shadow mode, and canary modeScreenshot 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 clicksScreenshot of JupyterHub Integration - Upload, download, register, share, and deploy models right from within your Notebook