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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
- 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
 


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 to 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 | 

Deliver real-time and batch data from DBs, SaaS, APIs, and more
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