
Stream into Google Spanner with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Google Spanner using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines



Google Spanner connector details
The Google Spanner materialization connector in Estuary delivers data from Estuary collections into tables in a Google Spanner database. It supports continuous materialization from real-time or batch pipelines and provides controls for table configuration, delete handling, and efficient key distribution.
- Materializes Estuary collections directly into Google Spanner tables
- Standard updates to keep destination records synchronized with Estuary collections
- Optional hard deletes so records deleted upstream can also be removed from Google Spanner
- Soft deletes by default, represented through
_meta/op - Configurable destination table names for individual bindings
- Alternative schema support for bindings that should use a non-default schema
- Custom SQL during table creation for additional table-level configuration
- Google Cloud service account authentication
- Built-in key distribution optimization that adds a hash prefix to table keys to distribute writes across Spanner splits and reduce hotspots
- Option to exclude the root Flow document from standard updates for advanced use cases
The connector’s key-distribution optimization is enabled by default to spread writes across Google Spanner splits and avoid concentrated write hotspots. It can be disabled through advanced configuration when the original key ordering is preferred.
How to connect your data source to Google Spanner in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 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
Sync to Google Spanner
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
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. Bring data from databases, SaaS apps, APIs, files, and event streams into Google Spanner, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Google Spanner through Estuary.
- Transform and route data through Estuary collections before delivering it to Google Spanner.
See what you can connect to Google Spanner:
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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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| 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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