Datatron vs. MLflow Comparison


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About Datatron offers tools and features built from scratch, specifically to make machine learning in production work for you. Most teams discover that there’s more to just deploying models, which is already a very manual and time-consuming task. Datatron offers single model governance and management platform for all of your ML, AI, and Data Science models in production. We help you automate, optimize, and accelerate your ML models to ensure that they are running smoothly and efficiently in production. Data Scientists use a variety of frameworks to build the best models. We support anything you’d build a model with ( e.g. TensorFlow, H2O, Scikit-Learn, and SAS ). Explore models built and uploaded by your data science team, all from one centralized repository. Create a scalable model deployment in just a few clicks. Deploy models built using any language or framework. Make better decisions based on your model performance.	About MLflow is an open source platform to manage the ML lifecycle, including experimentation, reproducibility, deployment, and a central model registry. MLflow currently offers four components. Record and query experiments: code, data, config, and results. Package data science code in a format to reproduce runs on any platform. Deploy machine learning models in diverse serving environments. Store, annotate, discover, and manage models in a central repository. The MLflow Tracking component is an API and UI for logging parameters, code versions, metrics, and output files when running your machine learning code and for later visualizing the results. MLflow Tracking lets you log and query experiments using Python, REST, R API, and Java API APIs. An MLflow Project is a format for packaging data science code in a reusable and reproducible way, based primarily on conventions. In addition, the Projects component includes an API and command-line tools for running projects.
Platforms Supported Windows Not Supported Mac Not Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Enterprises in search of a solution to automate and accelerate the management of their ML processes	Audience Companies looking for an open source platform solution for the machine learning lifecycle
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing No information available. Free Version Not Supported Free Trial Supported	Pricing No information available. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software

Training Documentation Supported Webinars Supported Live Online Supported In Person Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Datatron Founded: 2016 United States www.datatron.com/platform/	Company Information MLflow Founded: 2018 United States mlflow.org
Alternatives IBM Watson Studio IBM	Alternatives Union Cloud Union.ai
Azure Machine Learning Microsoft	Amazon SageMaker Amazon
scikit-learn	Azure Machine Learning Microsoft
Keepsake Replicate	Gemini Enterprise Agent Platform Google
Fairly View All	DVC iterative.ai View All
Categories AI Governance Supported Machine Learning Supported Model Risk Management Supported	Categories AI Gateways Supported LLM Evaluation Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported

Integrations Google Cloud Platform Supported H2O.ai Supported TensorFlow Supported Amazon Web Services (AWS) Supported Apache Spark Not Supported Azure Marketplace Not Supported CrateDB Not Supported Dagster Not Supported Hadoop Supported Jozu Not Supported Keras Not Supported Kubernetes Not Supported LLaMA-Factory Not Supported Ludwig Not Supported MySQL Supported OpenMetadata Not Supported Ragas Not Supported Ray Not Supported ZenML Not Supported neptune.ai Not Supported Show More Integrations View All 12 Integrations	Integrations Google Cloud Platform Supported H2O.ai Supported TensorFlow Supported Amazon Web Services (AWS) Not Supported Apache Spark Supported Azure Marketplace Supported CrateDB Supported Dagster Supported Hadoop Not Supported Jozu Supported Keras Supported Kubernetes Supported LLaMA-Factory Supported Ludwig Supported MySQL Not Supported OpenMetadata Supported Ragas Supported Ray Supported ZenML Supported neptune.ai Supported Show More Integrations View All 48 Integrations
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