A data movement platform that synchronizes databases and applications with warehouses and lakes through cloud, self-managed, and hybrid deployments.

A data access layer that lets AI agents read and act across business systems through connectors, managed credentials, and developer interfaces.

A visual development tool for creating and maintaining source connectors through forms and editable YAML manifests.

Hybrid data replication with an Airbyte-managed control plane and customer-run data planes that keep records, credentials, and encryption keys inside the customer environment.

A searchable data layer that unifies selected business records so AI agents can retrieve context without repeatedly querying source APIs.

An open-source Python library that runs Airbyte connectors locally and makes retrieved data available to analysis and AI libraries.