Azure Machine Learning vs. Hive AutoML Comparison


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About Accelerate the end-to-end machine learning lifecycle with Azure Machine Learning Studio. Empower developers and data scientists with a wide range of productive experiences for building, training, and deploying machine learning models faster. Accelerate time to market and foster team collaboration with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible ML. Productivity for all skill levels, with code-first and drag-and-drop designer, and automated machine learning. Robust MLOps capabilities that integrate with existing DevOps processes and help manage the complete ML lifecycle. Responsible ML capabilities – understand models with interpretability and fairness, protect data with differential privacy and confidential computing, and control the ML lifecycle with audit trials and datasheets. Best-in-class support for open-source frameworks and languages including MLflow, Kubeflow, ONNX, PyTorch, TensorFlow, Python, and R.	About Build and deploy deep learning models for custom use cases. Our automated machine learning process allows customers to create powerful AI solutions built on our best-in-class models and tailored to the specific challenges they face. Digital platforms can quickly create models specifically made to fit their guidelines and needs. Build large language models for specialized use cases such as customer and technical support bots. Create image classification models to better understand image libraries for search, organization, and more.
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	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 Data scientists, AI, and machine learning developers	Audience Companies and developer teams interested in a platform that enables them to build and deploy deep learning models for custom use cases
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 Not Supported	API Offers API Not 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 Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Microsoft Founded: 1975 United States azure.microsoft.com/en-us/products/machine-learning/	Company Information Hive Founded: 2013 United States thehive.ai/solutions/auto-ml
Alternatives Gemini Enterprise Agent Platform Google	Alternatives Gemini Enterprise Agent Platform Google
Anaconda	V7 Darwin V7
Amazon SageMaker Amazon	Automaton AI
TensorFlow	Clarifai
Huawei Cloud ModelArts Huawei Cloud View All	Dataloop AI View All
Categories AI Development Supported AI Governance Supported AI Infrastructure Supported Data Labeling Supported Machine Learning Supported ML Experiment Tracking Supported ML Model Deployment Supported ML Model Management Supported	Categories AI Development Supported Deep Learning Supported Image Annotation Supported Machine Learning Supported
Machine Learning Features Deep Learning Not Supported ML Algorithm Library Not Supported Model Training Not Supported Natural Language Processing (NLP) Not Supported Predictive Modeling Supported Statistical / Mathematical Tools Not Supported Templates Not Supported Visualization Not Supported Show More Features Data Labeling Features Human-in-the-loop Supported Labeling Automation Supported Labeling Quality Supported Performance Tracking Supported Polygon, Rectangle, Line, Point Supported SDK Supported Supports Audio Files Supported Task Management Supported Team Collaboration Supported Training Data Management Supported
Integrations APERIO DataWise Supported Azure AI Search Supported Azure Container Registry Supported Azure Data Science Virtual Machines Supported Azure Kinect DK Supported Azure Percept Supported BotCore Supported Cranium Supported Hive Moderation Not Supported Kedro Supported MLflow Supported Microsoft Azure Supported ModelOp Supported NVIDIA Triton Inference Server Supported New Relic Supported Omnisient Supported Slingshot Supported Superwise Supported Visual Studio Code Supported Wizata Supported Show More Integrations View All 23 Integrations	Integrations APERIO DataWise Not Supported Azure AI Search Not Supported Azure Container Registry Not Supported Azure Data Science Virtual Machines Not Supported Azure Kinect DK Not Supported Azure Percept Not Supported BotCore Not Supported Cranium Not Supported Hive Moderation Supported Kedro Not Supported MLflow Not Supported Microsoft Azure Not Supported ModelOp Not Supported NVIDIA Triton Inference Server Not Supported New Relic Not Supported Omnisient Not Supported Slingshot Not Supported Superwise Not Supported Visual Studio Code Not Supported Wizata Not Supported Show More Integrations View All 2 Integrations
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