BigML vs Lateral: What are the differences?
Developers describe BigML as "Machine Learning, made simple. Predictive analytics for big data and not-so-big data". BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services. On the other hand, Lateral is detailed as "The ultimate API for recommending your content". Delight your users with personalised content recommendations. It's easy to set up and works with or without collaborative data. The Lateral API is trained on 10s of millions of high quality documents from law, academia and journalism. It can understand any document and provide intelligent recommendations.
BigML and Lateral belong to "Machine Learning as a Service" category of the tech stack.