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

SQL Server Batch connector details
The SQL Server Batch Query connector captures data from SQL Server by periodically executing queries and loading the results into Estuary collections. It is designed for scheduled batch ingestion rather than real-time CDC, making it useful when you need to capture database views, run custom SQL queries, use a read replica, or connect to a SQL Server instance that does not support CDC or Change Tracking.
- Scheduled query-based capture with configurable polling intervals
- Full-refresh and incremental capture using cursor-based queries
- Capture from SQL Server tables and database views
- Custom SQL queries for filtering, aggregations, or capturing specific subsets of data
- Read replica support for reducing load on the primary database
- Flexible cursor options, including update timestamps, creation timestamps, and auto-incrementing IDs
The connector supports self-hosted SQL Server as well as managed deployments such as Amazon RDS and Azure SQL Database.

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.

SQL Server Batch to SingleStore pricing estimate
Estimated monthly cost to move 800 GB from SQL Server Batch to SingleStore is approximately $1,000.
Data moved
Choose how much data you want to move from SQL Server Batch to SingleStore each month.
GB
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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 SQL Server Batch 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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Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.
































