dotCloud vs Datatron: What are the differences?

dotCloud: Deploy, manage and scale any web app. Build your ideal application stack by combining powerful cloud services. Experiment for free, then go live and only pay for what you need. dotCloud enables developers and IT organizations to deploy, manage and scale their applications with unprecedented ease and flexibility by assembling and customizing powerful pre-configured stacks and services; Datatron: Production AI Model Management at Scale. Automate the standardized deployment, monitoring, governance, and validation of all your models to be developed in any environment.

dotCloud and Datatron are primarily classified as "Platform as a Service" and "Machine Learning" tools respectively.

Some of the features offered by dotCloud are:

• Develop faster- Don’t waste time with servers. Just select the services you need, combine them in a stack, and get back to writing code. It’s like playing lego!
• Don't worry about ops- We keep your app running 24/7 with built-in load-balancing, monitoring and failover. Scale in seconds to handle surges in traffic - and only pay for what you need.
• Not just for throw-away apps- Create maintainable, future-proof applications with a service-oriented architecture. Build custom services and network topologies. Need custom support, pricing or SLAs? We do that too.

On the other hand, Datatron provides the following key features:

• Explore models built and uploaded by your Data Science team, all from one centralized repository
• Create and scale model deployments in just a few clicks. Deploy models developed in any framework or language
• Make better business decisions to save your team time and money. Monitor model performance and detect model decay as it happens