LanceWhat is Datatron?
Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment.
Datatron is a tool in the Development & Training Tools category of a tech stack.
Key Features
Explore models built and uploaded by your Data Science team, all from one centralized repositoryCreate and scale model deployments in just a few clicks. Deploy models developed in any framework or languageMake better business decisions to save your team time and money. Monitor model performance and detect model decay as it happensSpend less time on model validation, bias detection, and internal audit processes. Go from model development to internal auditing to production faster than everManage multivariate models through A/B testing for live inference and batch tasksApply business logic to your model prediction results. Create workflows for your models using multiple sources and languages
Datatron Pros & Cons
Pros of Datatron
No pros listed yet.
Cons of Datatron
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Datatron Alternatives & Comparisons
What are some alternatives to Datatron?
Heroku
Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.
Google App Engine
Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
Apache Camel
An open source Java framework that focuses on making integration easier and more accessible to developers.
