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Datatron

Make your data science, engineering, devops, and governance teams work more efficiently
Datatron Overview
Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you.
  • System-wide Features:
  • Teamwork and Collaboration
  • Enterprise Security
  • Governance
  • Enterprise Support
  • MLOps Features:
  • Data Acquisition
  • Data Versioning
  • Data Visualization
  • Data Preparation
  • Data Pipelines
  • Data Labeling
  • AutoML
  • Featurization
  • Feature Store
  • ML Pipelines or Workflows
  • Model Registry
  • Model Marketplace
  • Model Training
  • Distributed Model Training
  • Model Debugging
  • Experiment Management
  • Deep Learning Support
  • Reinforcement Learning Support
  • Bias Detection and Mitigation
  • Model Explainability
  • Hyperparameter Optimization
  • Model Packaging
  • Model Deployment and Serving
  • Edge ML Support
  • Model Monitoring
  • Cost Management
  • ML Infrastructure Orchestration
  • Accelerator Support
  • Kubernetes Support
  • Model Deployment Sub-features:
  • Model serving
  • Integrates with CI/CD pipeline
  • Roll-back options
  • Optimizes Infrastructure Dynamically
  • Auto-scales Infrastructure
  • Supports Batch Inference
  • Supports Streaming Inference

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Additional Product Information
Product Links
Deploys On
  • Amazon Web Services
  • Google Cloud Platform
  • Microsoft Azure
  • Other Public Cloud
  • Kubernetes
  • NVIDIA
  • Private Cloud or Datacenter
  • SaaS
Pricing:
Free Version
Paid Version
Datatron Vendor Information
Vendor Overview
Datatron provides a single model governance and management platform for all of your ML, AI, and Data Science models in production.
Vendor Details
Year Founded
2016
HQ Location
San Francisco, California, United States
Ownership
Private
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