Move your data from Google Firestore with your free account
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 Firestore connector details
The Google Firestore connector captures data from your Firestore collections into Estuary, keeping your NoSQL data in sync for analytics, pipelines, or downstream systems.
- Schema-flexible ingestion: Automatically maps Firestore’s hierarchical collections and subcollections into Estuary collections.
- Real-time change capture: Streams document inserts and updates directly from Firestore with high fidelity.
- Smart backfill options: Choose from none, async, or sync modes to control how existing data is captured.
- Simple setup: Authenticate with a Google Cloud service account and minimal configuration.
- Safe & scalable: Built to handle Firestore’s nested structure while preventing data duplication or overload.
💡 Data freshness: Real-time streaming — continuously captures updates from Firestore to Estuary as they happen.
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 from Google Firestore 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 Firestore insights always reflect the latest data by connecting your databases to Google Firestore with change data capture.
- Or connect critical SaaS apps to Google Firestore with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
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 |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
Build Free Pipeline
