Stream into Alloy DB for Postgres with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Alloy DB for Postgres 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 Alloy DB for Postgres

Alloy DB for Postgres connector details

The AlloyDB materialization connector continuously writes data from Estuary collections into AlloyDB tables, allowing you to keep a fully managed, PostgreSQL-compatible database in Google Cloud up to date with your real-time data streams.

PostgreSQL-compatible: Built on Estuary’s PostgreSQL connector, providing identical configuration and behavior
Secure connectivity: Uses SSH tunneling to connect to AlloyDB instances (since IP allowlisting isn’t supported)
Automatic table creation: Estuary creates and manages target tables automatically based on your collection schemas
Delta or merge updates: Supports both incremental (delta) and standard merge-based updates
Ideal for analytics and applications: Perfect for workloads that need transactional consistency and scalable cloud performance

💡 Tip: Configure your SSH bastion VM within the same Google Cloud project as your AlloyDB instance for secure, low-latency connections.

For more details about the Alloy DB for Postgres connector, check out the documentation page.

How to connect your data source to Alloy DB for Postgres 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 Alloy DB for Postgres
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 Alloy DB for Postgres, 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 Alloy DB for Postgres through Estuary.
Transform and route data through Estuary collections before delivering it to Alloy DB for Postgres.

See what you can connect to Alloy DB for Postgres:

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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