Stream data from Google Cloud SQL for SQL Server to SingleStore
Move data from Google Cloud SQL for SQL Server to SingleStore 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 Google Cloud SQL for SQL Server with SingleStore in 3 simple steps
- 1
Connect Google Cloud SQL for SQL Server as your data source
Set up a source connector for Google Cloud SQL for SQL Server 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 SingleStore 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 SingleStore.
- 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.

Google Cloud SQL for SQL Server connector details
The Google Cloud SQL for SQL Server source connector captures inserts, updates, and deletes from Cloud SQL for SQL Server databases using SQL Server Change Data Capture. After an initial backfill of selected tables, Estuary reads from SQL Server CDC change tables and writes the data into Estuary collections so downstream systems stay current in near real time.
- Capture change events from Google Cloud SQL for SQL Server databases that support SQL Server CDC.
- Enable CDC on both the source database and each table you want to capture before running the connector.
- Use tables with primary keys when possible; for tables without primary keys, manually define the Estuary collection key during capture setup.
- Connect using the Cloud SQL instance public IP or an SSH tunnel, with SQL Server traffic on port
1433. - Grant the capture user
SELECTaccess on the source schemas andcdcschema, access to CDC change tables, andVIEW DATABASE STATEorVIEW DATABASE PERFORMANCE STATE. - Optionally use Automatic Capture Instance Management or Automatic Change Table Cleanup, but these features require
db_ownerpermissions.

SingleStore connector details
The SingleStore materialization connector in Estuary delivers data from Estuary collections directly into tables in a SingleStore database. It supports continuous materialization from real-time or batch pipelines, using standard merge-based updates by default with optional delta updates for applicable workloads.
- Materializes Estuary collections directly into SingleStore tables
- Standard merge-based updates by default to keep destination records synchronized
- Optional delta updates for workloads where changes should be applied incrementally
- Automatic table creation for configured materialization bindings
- Custom SQL after table creation for additional table-level configuration
- Configurable destination table names for individual bindings
- SSL/TLS connection support, including certificate and hostname verification
- Configurable timezone handling for datetime columns
- Username and password authentication
- Support for SingleStoreDB Cloud, including SSL-secured connections
- Option to exclude the root Flow document from standard updates for advanced use cases
Each materialization binding maps an Estuary collection to a SingleStore table. The connector creates the destination table when needed, and you can optionally run additional SQL after table creation for further configuration.
For SingleStoreDB Cloud, SSL is required. Estuary supports several SSL modes, including verify_ca and verify_identity, with support for supplying the SingleStore server CA certificate.

See how Recart uses SingleStore
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 Cloud SQL for SQL Server to SingleStore pricing estimate
Estimated monthly cost to move 800 GB from Google Cloud SQL for SQL Server to SingleStore is approximately $1,000.
Data moved
Choose how much data you want to move from Google Cloud SQL for SQL Server to SingleStore 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 Cloud SQL for SQL Server to SingleStore 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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