Move your data from BigQuery with your free account
Capture data from BigQuery and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
BigQuery connector details
The BigQuery Batch connector captures data from your BigQuery datasets into Estuary collections by periodically running SQL queries and translating the results into JSON documents. It’s ideal for analytical workloads or datasets that don’t require continuous change tracking.
- Periodically executes queries from BigQuery tables or views and loads results into Estuary collections
- Supports cursor-based incremental updates for efficient polling and reduced reprocessing
- Customizable polling intervals (default: every 24 hours) for flexible scheduling
- Uses a Google Cloud Service Account with BigQuery User and Data Viewer roles for secure access
- Works seamlessly within Estuary’s Private and BYOC environments for compliance and governance
💡 Tip: Specify a timestamp or monotonically increasing ID column as your cursor to reduce data volume and capture only new or updated records efficiently.
How to connect BigQuery to your destination in 3 easy steps
- 1
Connect BigQuery as your data source
Securely connect BigQuery and choose the objects, tables, or collections you need to sync.
- 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
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Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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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. Capture data from BigQuery using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect BigQuery to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse BigQuery data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send BigQuery data:
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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| 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 |
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