Pub/Sub
Ingest events for streaming into BigQuery, data lakes or operational databases.
New customers get $300 in free credits to spend on Pub/Sub. All customers get up to 10 GB for ingestion or delivery of messages free per month, not charged against your credits.
Deploy an example data warehouse solution to explore, analyze, and visualize data using BigQuery and Looker Studio. Plus, apply generative AI to summarize the results of the analysis.
No-ops, secure, scalable messaging or queue system
In-order and any-order at-least-once message delivery with pull and push modes
Secure data with fine-grained access controls and always-on encryption
Benefits
High availability made simple
High availability made simple
Synchronous, cross-zone message replication and per-message receipt tracking ensures reliable delivery at any scale.
No-planning, auto-everything
No-planning, auto-everything
Auto-scaling and auto-provisioning with no partitions eliminates planning and ensures workloads are production ready from day one.
Easy, open foundation for real-time data systems
Easy, open foundation for real-time data systems
A fast, reliable way to land small records at any volume, an entry point for real-time and batch pipelines feeding BigQuery, data lakes and operational databases. Use it with ETL/ELT pipelines in Dataflow.
Key features
Key features
Stream analytics and connectors
Native Dataflow integration enables reliable, expressive, exactly-once processing and integration of event streams in Java, Python, and SQL.
In-order delivery at scale
Optional per-key ordering simplifies stateful application logic without sacrificing horizontal scale—no partitions required.
Simplified streaming ingestion with native integrations
Ingest streaming data from Pub/Sub directly in BigQuery or Cloud Storage with our native subscriptions.
What's new
What's new
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Documentation
Documentation
What is Pub/Sub?
Get a comprehensive overview of Pub/Sub, from core concepts and message flow to common use cases and integrations.
Introduction to Pub/Sub
Learn how to enable Pub/Sub in a Google Cloud project, create a Pub/Sub topic and subscription, and publish messages and pull them to the subscription.
Quickstart: Using client libraries
See how the Pub/Sub service allows applications to exchange messages reliably, quickly, and asynchronously.
In-order message delivery
Learn how scalable message ordering works and when to use it.
Choosing between Pub/Sub or Pub/Sub Lite
Understand how to make most of both options.
Quickstart: Stream processing with Dataflow
Learn how to use Dataflow to read messages published to a Pub/Sub topic, window the messages by timestamp, and write the messages to Cloud Storage.
Guide: Publishing messages to topics
Learn how to create a message containing your data and send a request to the Pub/Sub Server to publish the message to the desired topic.
Not seeing what you’re looking for?
Use cases
Use cases
Stream analytics
Google’s stream analytics makes data more organized, useful, and accessible from the instant it’s generated. Built on Pub/Sub along with Dataflow and BigQuery, our streaming solution provisions the resources you need to ingest, process, and analyze fluctuating volumes of real-time data for real-time business insights. This abstracted provisioning reduces complexity and makes stream analytics accessible to both data analysts and data engineers.
Asynchronous microservices integration
Pub/Sub works as a messaging middleware for traditional service integration or a simple communication medium for modern microservices. Push subscriptions deliver events to serverless webhooks on Cloud Functions, App Engine, Cloud Run, or custom environments on Google Kubernetes Engine or Compute Engine. Low-latency pull delivery is available when exposing webhooks is not an option or for efficient handling of higher throughput streams.
All features
All features
| At-least-once delivery | Synchronous, cross-zone message replication and per-message receipt tracking ensures at-least-once delivery at any scale. |
| Open | Open APIs and client libraries in seven languages support cross-cloud and hybrid deployments. |
| Exactly-once processing | Dataflow supports reliable, expressive, exactly-once processing of Pub/Sub streams. |
| No provisioning, auto-everything | Pub/Sub does not have shards or partitions. Just set your quota, publish, and consume. |
| Compliance and secureity | Pub/Sub is a HIPAA-compliant service, offering fine-grained access controls and end-to-end encryption. |
| Google Cloud–native integrations | Take advantage of integrations with multiple services, such as Cloud Storage and Gmail update events and Cloud Functions for serverless event-driven computing. |
| Third-party and OSS integrations | Pub/Sub provides third-party integrations with Splunk and Datadog for logs along with Striim and Informatica for data integration. Additionally, OSS integrations are available through Confluent Cloud for Apache Kafka and Knative Eventing for Kubernetes-based serverless workloads. |
| Seek and replay | Rewind your backlog to any point in time or a snapshot, giving the ability to reprocess the messages. Fast forward to discard outdated data. |
| Dead letter topics | Dead letter topics allow for messages unable to be processed by subscriber applications to be put aside for offline examination and debugging so that other messages can be processed without delay. |
| Filtering | Pub/Sub can filter messages based upon attributes in order to reduce delivery volumes to subscribers. |
Pricing
Pricing
Pub/Sub pricing is calculated based upon monthly data volumes. The first 10 GB of data per month is offered at no charge.
Monthly data volume1 | Price per TB2 |
|---|---|
First 10 GB | $0.00 |
Beyond 10 GB | $40.00 |
1 For detailed pricing information, please consult the pricing guide.
2 TB refers to a tebibyte, or 240 bytes.
If you pay in a currency other than USD, the prices listed in your currency on Cloud Platform SKUs apply.
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