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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



MariaDB connector details
The Estuary MariaDB connector captures real-time change data (CDC) from MariaDB databases using the binary log. It continuously streams inserts, updates, and deletes into Flow collections for analytics or replication.
- Streams real-time CDC events via the MariaDB binary log (binlog_format=ROW)
- Performs an initial backfill before switching to continuous CDC mode
- Supports self-hosted, Azure Database for MariaDB, and read replica setups
- Enables secure SSH tunneling for private network connections
- Handles time zone configuration for accurate DATETIME capture


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 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 MariaDB insights always reflect the latest data by connecting your databases to MariaDB with change data capture.
- Or connect critical SaaS apps to MariaDB with real-time data pipelines.
Don't see a connector?Request and our team will get back to you in 24 hours
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 |

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