Move your data from Amazon RDS for MariaDB with your free account
Continously ingest and deliver both streaming and batch change data from 100s of sources using Estuary's custom no-code connectors.
- <100ms Data pipelines
- 100+ Connectors
- 2-5x less than batch ELT
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 Flow 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
HIGH THROUGHPUT
Distributed event-driven architecture enable boundless scaling with exactly-once semantics.
DURABLE REPLICATION
Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.
REAL-TIME INGESTION
Capture and relay every insert, update, and delete in milliseconds.
Real-timehigh throughput
Point a connector and replicate changes from Amazon RDS for MariaDB in <100ms. Leverage high-availability, high-throughput Change Data Capture.Or choose from 100s of batch and real-time connectors to move and transform data using ELT and ETL.
- Ensure your Amazon RDS for MariaDB insights always reflect the latest data by connecting your databases to Amazon RDS for MariaDB with change data capture.
- Or connect critical SaaS apps to Amazon RDS for MariaDB with real-time data pipelines.
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | KAFKA | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Speed | <100ms | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale |
Deliver real-time and batch data from DBs, SaaS, APIs, and more
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