Firebase Predictions vs Cloud AI Platform Pipelines: What are the differences?

Developers describe Firebase Predictions as "Define dynamic user groups based on predicted behavior". Firebase Predictions uses the power of Google’s machine learning to create dynamic user groups based on users’ predicted behavior. On the other hand, Cloud AI Platform Pipelines is detailed as "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.

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

Some of the features offered by Firebase Predictions are:

• Boost revenue and retention through customized user experiences
• Send smarter notifications
• Create custom predictions

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