Stream data from Braze to Amazon RDS for SQL Server
Move data from Braze to Amazon RDS for SQL Server 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 Braze with Amazon RDS for SQL Server in 3 simple steps
Connect Braze as your data source
Set up a source connector for Braze 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 Amazon RDS for SQL Server 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 Amazon RDS for SQL Server.
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.

Braze connector details
The Braze connector captures engagement, campaign, and analytics data from the Braze REST API into Flow collections, enabling unified insights across marketing and product data.
- Captures campaigns, events, segments, KPIs, and analytics data from Braze APIs
- Supports customizable start date for incremental data collection
- Secure authentication using Braze REST API Key and endpoint URL
- Optimized for large-scale data ingestion with performance improvements
- Works seamlessly within Estuary’s Private and BYOC environments for compliance and governance
💡 Tip: Ideal for unifying user engagement data with downstream analytics in Snowflake, BigQuery, or Databricks for a complete customer view.

Amazon RDS for SQL Server connector details
- Merge-based materializations to sync only what's changed
- Low-latency delivery from streaming and batch sources
- Automatic schema alignment so your destination matches your pipeline's evolving data
- Flexible deployment models, including BYOC and hybrid for enterprise governance
- Unified streaming + batch outputs in a single tool
- End-to-end security and compliance for sensitive data workloads
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.

Braze to Amazon RDS for SQL Server pricing estimate
Estimated monthly cost to move 800 GB from Braze to Amazon RDS for SQL Server is approximately $1,000.
Data moved
Choose how much data you want to move from Braze to Amazon RDS for SQL Server each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
What customers are saying
Why Estuary is the best choice for data integration
Estuary combines streaming and batch data movement capabilities into a unified modern data pipeline. This approach simplifies building and operating pipelines like Braze to Amazon RDS for SQL Server without custom code or orchestration.

Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
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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 Braze to Amazon RDS for SQL Server 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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DataOps made simple
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.






































