Integrations

A typical machine Learning (ML) workflow involves a variety of tasks, including data collection, labeling, curation, training, validation, and inference. These tasks generate or consume a significant amount of data that needs to be stored and managed efficiently. ApertureDB is built to be the unifying backend for the various steps in a ML/AI pipeline. It already integrates with some popular libraries and frameworks.