GraphLab Create vs Paperspace: What are the differences?
Developers describe GraphLab Create as "Machine learning platform that enables data scientists and app developers to easily create intelligent apps at scale". Building an intelligent, predictive application involves iterating over multiple steps: cleaning the data, developing features, training a model, and creating and maintaining a predictive service. GraphLab Create does all of this in one platform. It is easy to use, fast, and powerful. On the other hand, Paperspace is detailed as "The way to access and manage limitless computing power in the cloud". It is a high-performance cloud computing and ML development platform for building, training and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use it to iterate faster and collaborate on intelligent, real-time prediction engines.
GraphLab Create and Paperspace belong to "Machine Learning as a Service" category of the tech stack.
Some of the features offered by GraphLab Create are:
- Analyze terabyte scale data at interactive speeds, on your desktop.
- A Single platform for tabular data, graphs, text, and images.
- State of the art machine learning algorithms including deep learning, boosted trees, and factorization machines.
On the other hand, Paperspace provides the following key features:
- Intelligent alert
- Two-factor authentication
- Share drives