Stream data from Google Firestore to MotherDuck
Move data from Google Firestore to MotherDuck in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Google Firestore with MotherDuck in 3 simple steps
Connect Google Firestore as your data source
Set up a source connector for Google Firestore in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure MotherDuck as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to MotherDuck.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

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.

MotherDuck connector details
The MotherDuck connector from Estuary brings data collections into MotherDuck tables with cloud-native efficiency. Data is staged in Amazon S3 or Google Cloud Storage, then seamlessly loaded into MotherDuck for low-latency querying and analytics. By supporting both merge operations and delta updates, the connector makes it easy to power CDC pipelines while optimizing for cost and performance.
- Materializes data collections into MotherDuck tables for real-time insights
- Uses S3 or GCS as a scalable, temporary staging layer
- Supports delta updates for CDC-style replication and merges for consistency
- Flexible sync scheduling to balance freshness with resource usage
- Secure integration with MotherDuck Service Token authentication

See how Surface Ventures uses MotherDuck
Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Google Firestore to MotherDuck pricing estimate
Estimated monthly cost to move 800 GB from Google Firestore to MotherDuck is approximately $1,000.
Data moved
Choose how much data you want to move from Google Firestore to MotherDuck each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Google Firestore to MotherDuck integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
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