Stream into Amazon RDS for PostgreSQL with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon RDS for PostgreSQL using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

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01. Select a source02. Transform in-flight03. Deliver to Amazon RDS for PostgreSQL

Amazon RDS for PostgreSQL connector details

The Amazon RDS for PostgreSQL materialization connector in Estuary delivers data from Estuary collections into PostgreSQL tables hosted on Amazon RDS. It supports continuous materialization from real-time or batch pipelines, using standard merge-based updates by default with optional delta updates for applicable workloads.

Standard merge-based updates by default to keep destination rows synchronized
Optional delta updates for workloads where changes should be applied incrementally
Optional hard deletes so records deleted upstream can also be deleted from destination tables
Automatic table creation for tables managed by the connector
Configurable database schemas and table names for individual bindings
AWS IAM or username/password authentication
Direct Amazon RDS connectivity or SSH tunneling for databases in private AWS networks
Configurable SSL mode for secure PostgreSQL connections
Custom SQL during table creation for indexes or other table-level configuration

Estuary creates the destination tables used by the materialization; manually pre-created tables are not supported. You can configure a default PostgreSQL schema, override the schema for individual bindings, and optionally execute additional SQL when Estuary creates a table.

For more details about the Amazon RDS for PostgreSQL connector, check out the documentation page.

How to connect your data source to Amazon RDS for PostgreSQL in 3 easy steps

1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
3
Sync to Amazon RDS for PostgreSQL
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.

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HIGH THROUGHPUT

Distributed, event-driven architecture scales for demanding data workloads.

DURABLE COLLECTIONS

Store data as it moves so you can transform, replay, and deliver it downstream.

FLEXIBLE LATENCY

From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.

From <100ms to batch

Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Amazon RDS for PostgreSQL, with capture and delivery cadence based on connector capabilities and pipeline configuration.

Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Amazon RDS for PostgreSQL through Estuary.
Transform and route data through Estuary collections before delivering it to Amazon RDS for PostgreSQL.

See what you can connect to Amazon RDS for PostgreSQL:

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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.

Feature Comparison

	Estuary	Batch ELT/ETL	DIY Python	Kafka
Price	$	$$-$$$$	$-$$$$	$-$$$$
Latency	<100ms to scheduled	5min+	Varies	<100ms
Ease	Analysts can manage	Analysts can manage	Data Engineer	Senior Data Engineer
Scale
Maintenance Effort	Low	Medium	High	High