Stream data from HTTP File (REST) to Amazon RDS for MySQL
Move data from HTTP File (REST) to Amazon RDS for MySQL in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
- No credit card required
- 30-day free trial


- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate HTTP File (REST) with Amazon RDS for MySQL in 3 simple steps
Connect HTTP File (REST) as your data source
Set up a source connector for HTTP File (REST) 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 MySQL 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 MySQL.
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.

HTTP File (REST) connector details
- Log-based CDC for high-performance, low-impact data capture
- Automatic schema evolution to handle changes in source structure without manual intervention
- Unified streaming and batch ingestion in the same pipeline
- Hybrid deployment and BYOC support for security and control
- Fault-tolerant pipelines that resume automatically from the last checkpoint
- Kafka API connectivity for direct integration into streaming ecosystems

Amazon RDS for MySQL connector details
The Amazon RDS for MySQL materialization connector streams data from Estuary collections into MySQL tables hosted on Amazon RDS, enabling continuous synchronization between Estuary and your managed MySQL environment.
- Supported versions: MySQL 5.7 and later
- Deployment flexibility: Connect directly or through SSH tunneling for secure private access
- Delta or standard updates: Choose between merge or delta modes for efficient data writes
- Timezone control: Supports both IANA timezone names and numeric UTC offsets for consistent datetime materialization
- Full SSL support: Configure SSL modes including verify_ca and verify_identity for secure communication
- Automatic table creation: The connector creates or updates MySQL tables as Estuary collections change
- Enterprise ready: Works seamlessly within Private or BYOC deployments for compliance and governance
💡 Tip: Use this connector to stream real-time analytics or transactional data into RDS MySQL for dashboards, reporting, or downstream applications.
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.

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



What customers are saying
Getting started with Estuary
Free account
Getting started with Estuary is simple. Sign up for a free account.
Sign upDocs
Make sure you read through the documentation, especially the get started section.
Learn moreCommunity
Join the Slack community for the easiest way to get support while getting started.
Join Slack CommunityEstuary 101
Watch the Estuary 101 webinar for a guided introduction to using Estuary.
Watch

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 HTTP File (REST) to Amazon RDS for MySQL 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.
Related articles
mysqlHow to Integrate MongoDB with Relational Databases in Real Time (No Code)

mysqlHow to Replicate MySQL to ClickHouse in Real Time Using CDC (In Minutes)

mysqlHow to Connect Salesforce to MySQL (No Code Required)

mysqlReplicate MySQL to Iceberg in Real-time: [No-Code + Manual Guide]

mysqlHow to Move Data from Oracle to MySQL: 2 Effective Methods

mysqlMySQL to AlloyDB Migration: How to Move Data in Minutes

Related integrations with HTTP File (REST)
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.





































