TrustRadius

Datatron MLOps Platform vs. Weights & Biases

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
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
Weights & Biases
Score 10.0 out of 10
N/A
Weights & Biases helps machine learning teams build better models. Practitioners can debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, datasets and predictions — and collaborate with their teammates.
$50
per month per user
Pricing
Datatron MLOps PlatformWeights & Biases
Editions & Modules
No answers on this topic
Starter
$50
per month per user
Enterprise
custom pricing
Offerings
Pricing Offerings
Datatron MLOps PlatformWeights & Biases
Free Trial
YesNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Best Alternatives
Datatron MLOps PlatformWeights & Biases
Small Businesses
Google Cloud AI
Google Cloud AI
Score 8.5 out of 10
Google Cloud AI
Google Cloud AI
Score 8.5 out of 10
Medium-sized Companies
Google Cloud AI
Google Cloud AI
Score 8.5 out of 10
Google Cloud AI
Google Cloud AI
Score 8.5 out of 10
Enterprises
Dataiku
Dataiku
Score 8.6 out of 10
Dataiku
Dataiku
Score 8.6 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Datatron MLOps PlatformWeights & Biases
Likelihood to Recommend
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Datatron MLOps PlatformWeights & Biases
Likelihood to Recommend
Datatron
No answers on this topic
Weights & Biases
No brainer to use it when doing ML experiments as it is very easy compared to any other open source tool. You don't have to host anything like in Tensorboard.
Experiment details can be shared very easily with public using the reports
Verified User
Anonymous
Read full review
Pros
Datatron
No answers on this topic
Weights & Biases
  • Metrics Logging
  • Hyperparmeters Sweeps
  • Model Artifcats
Verified User
Anonymous
Read full review
Cons
Datatron
No answers on this topic
Weights & Biases
  • Dashboard lags when we log a lot of metrics
  • Improved support for matplotlib charts and documentation of wandb custom charts is not straghtforward
Verified User
Anonymous
Read full review
Return on Investment
Datatron
No answers on this topic
Weights & Biases
  • Made it very easy to track experiments
  • Track ML and Business Metrics improvements across experiments
  • Reproduce runs which is essential in ML modelling
Verified User
Anonymous
Read full review
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

Weights & Biases Screenshots

Screenshot of Weights & Biases