Stream into Google PubSub with your free account

Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Google PubSub 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 Google PubSub

Google PubSub connector details

The Google Cloud Pub/Sub materialization connector continuously publishes updates from Estuary collections to Pub/Sub topics in your Google Cloud project. It enables real-time event streaming pipelines that can feed downstream consumers, analytics systems, or microservices.

Continuous delivery: Streams data updates from Estuary collections to Pub/Sub topics in real time
Authentication options: Supports OAuth (via the Estuary web app) or Service Account credentials for manual setup
Automatic topic handling: Can create topics and default subscriptions automatically for ease of use
Multiplex publishing: Materialize multiple collections into a single Pub/Sub topic with unique identifiers
Guaranteed ordering: Publishes messages with ordering keys derived from Estuary collection keys to maintain sequence integrity
Flexible integration: Compatible with all GCP regions and existing Pub/Sub infrastructure

💡 Tip: Use this connector to stream Estuary data into event-driven applications, trigger workflows in Cloud Functions, or power analytics pipelines through Pub/Sub subscriptions.

For more details about the Google PubSub connector, check out the documentation page.

How to connect your data source to Google PubSub 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 Google PubSub
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 Google PubSub, 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 Google PubSub through Estuary.
Transform and route data through Estuary collections before delivering it to Google PubSub.

See what you can connect to Google PubSub:

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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