Estuary now provides native support for **real-time data streaming into 
PostgreSQL** via its PostgreSQL materialization connector. With this, users can 
configure Flow collections to automatically write into PostgreSQL tables β€” in 
seconds, at scale, and with exactly-once semantics.

Whether you’re using a self-hosted Postgres instance or a managed database like 
**Amazon RDS**, **Google Cloud SQL**, or **Azure Database for PostgreSQL**, 
Estuary ensures secure and reliable connectivity β€” including support for 
**SSL** and **SSH tunneling**.

### Key Features:
- Automatically creates target tables for each collection
- Supports **standard and delta updates**
- Handles schema evolution and reserved Postgres keywords
- Preserves column capitalization and converts data types (e.g., `ipv4`, 
`macaddr`, `duration`)
- Open-source compatible with Docker image:  
  `ghcr.io/estuary/materialize-postgres:dev`

This connector is part of Estuary Flow β€” a real-time data platform that bridges 
Postgres with upstream systems like Kafka, MongoDB, APIs, and more.

πŸ“˜ [Documentation: Streaming into PostgreSQL with 
Estuary](https://docs.estuary.dev/reference/Connectors/materialization-connectors/PostgreSQL/)
  
πŸš€ [Get started with Estuary Flow](https://dashboard.estuary.dev)  
πŸ”§ [Contact the team](https://estuary.dev/contact-us/)

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