Stream data from Amazon RDS for SQL Server to Databricks
Move data from Amazon RDS for SQL Server to Databricks in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Amazon RDS for SQL Server with Databricks in 3 simple steps
Connect Amazon RDS for SQL Server as your data source
Set up a source connector for Amazon RDS 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.
Configure Databricks 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 Databricks.
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.

Amazon RDS for SQL Server connector details
Estuary’s Amazon RDS for SQL Server connector provides continuous Change Data Capture (CDC) from your SQL Server database into Estuary collections, enabling real-time synchronization of inserts, updates, and deletes without batch processes. Built to leverage SQL Server’s native CDC capabilities, this connector ensures reliable and low-latency data replication for modern analytics and integration use cases.
- Streams change events in real time using SQL Server’s built-in CDC framework
- Automatically detects schema changes and manages new capture instances seamlessly
- Supports Automatic Capture Instance Management and Automatic Change Table Cleanup for minimal maintenance
- Handles backfills and incremental updates to ensure complete data consistency
- Offers enterprise-grade connectivity and security, including SSH tunneling, VPC access control, and support for BYOC or private deployments with Estuary

Databricks connector details
Estuary’s Databricks connector materializes data collections into tables in a Databricks SQL Warehouse. Data changes are first written to a Unity Catalog Volume and then applied transactionally to Databricks tables, ensuring reliable delivery of real-time updates. This connector supports both standard merges and delta updates for high-performance CDC workflows.
- Real-time CDC data sync from data collections into Databricks tables
- Choice of standard (merge) or delta updates to optimize performance and costs
- Native integration with Databricks Unity Catalog for secure, managed storage
- Flexible sync scheduling to balance freshness and warehouse costs

See how Launchmetrics uses Databricks
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.

Amazon RDS for SQL Server to Databricks pricing estimate
Estimated monthly cost to move 800 GB from Amazon RDS for SQL Server to Databricks is approximately $1,000.
Data moved
Choose how much data you want to move from Amazon RDS for SQL Server to Databricks 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 Amazon RDS for SQL Server to Databricks 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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