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Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
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 Flow collections to Pub/Sub topics in real time
- Authentication options: Supports OAuth (via the Flow 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 Flow collection keys to maintain sequence integrity
- Flexible integration: Compatible with all GCP regions and existing Pub/Sub infrastructure
💡 Tip: Use this connector to stream Flow data into event-driven applications, trigger workflows in Cloud Functions, or power analytics pipelines through Pub/Sub subscriptions.
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes to Google PubSub in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Google PubSub insights always reflect the latest data by connecting your databases to Google PubSub with change data capture.
- Or connect critical SaaS apps to Google PubSub with real-time data pipelines.
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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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
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