Stream data from Oracle Database (Batch) to Google Spanner
Move data from Oracle Database (Batch) to Google Spanner in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Oracle Database (Batch) with Google Spanner in 3 simple steps
- 1
Connect Oracle Database (Batch) as your data source
Set up a source connector for Oracle Database (Batch) 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.
- 2
Configure Google Spanner 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 Google Spanner.
- 3
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.

Oracle Database (Batch) connector details
The Oracle Database Batch Query connector in Estuary captures data by periodically querying Oracle tables and views and loading the results into Estuary collections. It supports several query patterns, making it useful when LogMiner-based CDC is unavailable, when capturing from database views or read replicas, or when you need custom SQL queries.
- ROWSCN-based incremental capture using Oracle’s
ORA_ROWSCNto identify rows modified since the previous poll - Cursor-based incremental capture using fields such as update timestamps, creation timestamps, or incrementing IDs
- Full-refresh capture for tables or views without a suitable cursor
- Custom SQL queries for filtering, aggregations, or capturing specific subsets of data
- Configurable polling schedules, with a default interval of 5 minutes
- Automatic table discovery across accessible Oracle schemas
- Primary-key-aware collections, using discovered primary keys when available
- Support for Oracle Database 11g and later, including self-hosted databases, Amazon RDS, Oracle Cloud Infrastructure, and other managed platforms
For discovered tables, the connector can use ORA_ROWSCN to perform an initial full backfill and then capture only new or updated rows on subsequent polls. When no cursor is configured, the full table or view is re-read during each polling cycle.

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.
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.

Oracle Database (Batch) to Google Spanner pricing estimate
Estimated monthly cost to move 800 GB from Oracle Database (Batch) to Google Spanner is approximately $1,000.
Data moved
Choose how much data you want to move from Oracle Database (Batch) to Google Spanner 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 Oracle Database (Batch) to Google Spanner 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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