Stream data from Amazon RDS for MariaDB to Google Cloud SQL for PostgreSQL
Move data from Amazon RDS for MariaDB to Google Cloud SQL for PostgreSQL in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 7+GB/secSingle dataflow
How to integrate Amazon RDS for MariaDB with Google Cloud SQL for PostgreSQL in 3 simple steps
Connect Amazon RDS for MariaDB as your data source
Set up a source connector for Amazon RDS for MariaDB 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 Google Cloud SQL for PostgreSQL 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 Google Cloud SQL for PostgreSQL.
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 MariaDB connector details
Estuary’s Amazon RDS for MariaDB connector uses Change Data Capture (CDC) via the binary log to stream real-time changes from RDS-hosted MariaDB databases into Estuary collections. Built on the same foundation as Estuary’s MySQL connector, it supports continuous replication for inserts, updates, and deletes, enabling low-latency data movement across your ecosystem.
- Continuous CDC replication using MariaDB’s binary logs
- Supports backfill + streaming for complete table capture
- Compatible with read replicas for offloading workloads
- Configurable binlog retention and recovery safeguards
- Secure connectivity through SSH tunneling or IP allowlisting, with deployment options in Estuary’s managed cloud or private BYOC environments for enhanced data control and compliance

Google Cloud SQL for PostgreSQL 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.

Amazon RDS for MariaDB to Google Cloud SQL for PostgreSQL pricing estimate
Estimated monthly cost to move 800 GB from Amazon RDS for MariaDB to Google Cloud SQL for PostgreSQL is approximately $1,000.
Data moved
Choose how much data you want to move from Amazon RDS for MariaDB to Google Cloud SQL for PostgreSQL each month.
GB
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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 Amazon RDS for MariaDB to Google Cloud SQL for PostgreSQL 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 Amazon RDS for MariaDB to Google Cloud SQL for PostgreSQL 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 integrations with Amazon RDS for MariaDB
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.




































