BentoML vs. Daria Comparison


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About Serve your ML model in any cloud in minutes. Unified model packaging format enabling both online and offline serving on any platform. 100x the throughput of your regular flask-based model server, thanks to our advanced micro-batching mechanism. Deliver high-quality prediction services that speak the DevOps language and integrate perfectly with common infrastructure tools. Unified format for deployment. High-performance model serving. DevOps best practices baked in. The service uses the BERT model trained with the TensorFlow framework to predict movie reviews' sentiment. DevOps-free BentoML workflow, from prediction service registry, deployment automation, to endpoint monitoring, all configured automatically for your team. A solid foundation for running serious ML workloads in production. Keep all your team's models, deployments, and changes highly visible and control access via SSO, RBAC, client authentication, and auditing logs.	About Daria’s advanced automated features allow users to quickly and easily build predictive models, significantly cutting back on days and weeks of iterative work associated with the traditional machine learning process. Remove financial and technological barriers to build AI systems from scratch for enterprises. Streamline and expedite workflows by lifting weeks of iterative work through automated machine learning for data experts. Get hands-on experience in machine learning with an intuitive GUI for data science beginners. Daria provides various data transformation functions to conveniently construct multiple feature sets. Daria automatically explores through millions of possible combinations of algorithms, modeling techniques and hyperparameters to select the best predictive model. Predictive models built with Daria can be deployed straight to production with a single line of code via Daria’s RESTful API.
Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not 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 Companies, professionals and developers in search of a solution to simplify model deployment	Audience Cloud-based, automated machine learning tool for predictive modeling and analytics for anyone
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 Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing No information available. Free Version Not Supported Free Trial 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 Not Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information BentoML United States www.bentoml.com	Company Information XBrain Founded: 2014 South Korea xbrain.team/product.html
Alternatives Domino Enterprise AI Platform Domino Data Lab	Alternatives ScoopML
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Azure Machine Learning Microsoft	Predibase
Huawei Cloud ModelArts Huawei Cloud	PredictSense Winjit
Amazon SageMaker Amazon View All	MLBox Axel ARONIO DE ROMBLAY View All
Categories AI Development Supported AI Infrastructure Supported Machine Learning Supported ML Model Deployment Supported	Categories AI Development Supported Machine Learning Supported

Integrations AWS Lambda Supported Amazon EC2 Supported Amazon SageMaker Supported Amazon Web Services (AWS) Supported Apache Airflow Supported Apache Spark Supported Azure Container Registry Supported Docker Supported Google Cloud Run Supported Google Compute Engine Supported Grafana Cloud Supported H2O.ai Supported Heroku Supported Keras Supported Kubernetes Supported NVIDIA DRIVE Supported Prometheus Supported Swagger Supported TensorFlow Supported ZenML Supported Show More Integrations View All 23 Integrations	Integrations AWS Lambda Not Supported Amazon EC2 Not Supported Amazon SageMaker Not Supported Amazon Web Services (AWS) Not Supported Apache Airflow Not Supported Apache Spark Not Supported Azure Container Registry Not Supported Docker Not Supported Google Cloud Run Not Supported Google Compute Engine Not Supported Grafana Cloud Not Supported H2O.ai Not Supported Heroku Not Supported Keras Not Supported Kubernetes Not Supported NVIDIA DRIVE Not Supported Prometheus Not Supported Swagger Not Supported TensorFlow Not Supported ZenML Not Supported Show More Integrations
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