Stream data from Amazon RDS for MariaDB to Google Sheets
Move data from Amazon RDS for MariaDB to Google Sheets in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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How to integrate Amazon RDS for MariaDB with Google Sheets 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 Sheets 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 Sheets.
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 Sheets connector details
The Google Sheets materialization connector writes Estuary collections into sheets within a Google spreadsheet, making operational data available for lightweight reporting, collaboration, and quick analysis. Each selected collection can be mapped to a separate sheet, and Estuary keeps those sheets updated as upstream data changes.
- Materialize Estuary collections into sheets within a selected Google spreadsheet.
- Map each collection to a specific sheet using a separate materialization binding.
- Authenticate with OAuth in the Estuary web app, or use a Service Account JSON key for manual configuration.
- Share the target spreadsheet with the service account and grant edit access when using service-account authentication.
- Use the spreadsheet URL and sheet name to configure where each collection is written.
- Add an internal tracking column to each sheet so Estuary can maintain materialization state.
💡 Tip: Use Google Sheets materialization for lightweight reporting, team dashboards, QA workflows, and quick operational views. For larger analytics workloads, use destinations such as BigQuery, Snowflake, Databricks, PostgreSQL, or S3.
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 MariaDB to Google Sheets pricing estimate
Estimated monthly cost to move 800 GB from Amazon RDS for MariaDB to Google Sheets is approximately $1,000.
Data moved
Choose how much data you want to move from Amazon RDS for MariaDB to Google Sheets each month.
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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 Sheets 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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