Datatron vs. TensorFlow 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 An end-to-end open source machine learning platform. TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML powered applications. Build and train ML models easily using intuitive high-level APIs like Keras with eager execution, which makes for immediate model iteration and easy debugging. Easily train and deploy models in the cloud, on-prem, in the browser, or on-device no matter what language you use. A simple and flexible architecture to take new ideas from concept to code, to state-of-the-art models, and to publication faster. Build, deploy, and experiment easily with TensorFlow.
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 Supported Mac Supported Linux Supported Cloud Supported On-Premises 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 Organizations interested in a powerful open source machine learning platform
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 Free Free Version 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 5.0 / 5 ease 5.0 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros TensorFlow is awesome for learning and executing machine learning, machine learning models, applications, and more. It's free and open source, and easy to get started. Cons Not much I don't like about TensorFlow. It's free and open source so how can you dislike it?
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 TensorFlow Founded: 2015 United States www.tensorflow.org
Alternatives IBM Watson Studio IBM	Alternatives Gemini Enterprise Agent Platform Google
Azure Machine Learning Microsoft	Amazon Rekognition Amazon
scikit-learn	Amazon SageMaker Amazon
Keepsake Replicate	Azure Machine Learning Microsoft
Fairly View All	Kubeflow View All
Categories AI Governance Supported Machine Learning Supported Model Risk Management Supported	Categories AI Development Supported AI/ML Model Training Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported Quantum Computing Supported
	Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Not Supported Statistical / Mathematical Tools Supported Templates Not Supported Visualization Supported
Integrations Amazon SageMaker Model Building Not Supported Amazon SageMaker Studio Not Supported BentoML Not Supported Cirrascale Not Supported Flyte Not Supported Google AI Edge Not Supported IBM SPSS Modeler Not Supported LeanXcale Not Supported ModelOp Not Supported NodeShift Not Supported Nutanix Karbon Platform Services Not Supported OpenVINO Not Supported PostgreSQL Supported Qualcomm Cloud AI SDK Not Supported RunCode Not Supported TensorFlow Supported Wallaroo.AI Not Supported Xtendlabs Not Supported ZETIC.ai Not Supported skillsync Not Supported Show More Integrations View All 12 Integrations	Integrations Amazon SageMaker Model Building Supported Amazon SageMaker Studio Supported BentoML Supported Cirrascale Supported Flyte Supported Google AI Edge Supported IBM SPSS Modeler Supported LeanXcale Supported ModelOp Supported NodeShift Supported Nutanix Karbon Platform Services Supported OpenVINO Supported PostgreSQL Not Supported Qualcomm Cloud AI SDK Supported RunCode Supported TensorFlow Not Supported Wallaroo.AI Supported Xtendlabs Supported ZETIC.ai Supported skillsync Supported Show More Integrations View All 193 Integrations
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