Cloud AI Platform Pipelines vs GraphLab Create

GraphLab Create vs Cloud AI Platform Pipelines: What are the differences?

GraphLab Create: 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; Cloud AI Platform Pipelines: Deploy robust, repeatable machine learning pipelines. It provides a way to deploy robust, repeatable machine learning pipelines along with monitoring, auditing, version tracking, and reproducibility, and delivers an enterprise-ready, easy to install, secure execution environment for your ML workflows.

GraphLab Create and Cloud AI Platform Pipelines can be categorized as "Machine Learning as a Service" tools.

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, Cloud AI Platform Pipelines provides the following key features:

• Push-button installation via the Google Cloud Console
• Enterprise features for running ML workloads, including pipeline versioning, automatic metadata tracking of artifacts and executions, Cloud Logging, visualization tools, and more
• Seamless integration with Google Cloud managed services like BigQuery, Dataflow, AI Platform Training and Serving, Cloud Functions, and many others