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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
MySQL connector details
The Estuary MySQL connector materializes Flow collections into MySQL tables for downstream analytics or application use. It supports standard and delta update modes, ensuring efficient incremental writes. The connector works with both self-hosted and managed MySQL services like Amazon RDS, Google Cloud SQL, and Azure Database for MySQL, with optional SSH tunneling for secure connectivity.
- Writes Flow collections to MySQL tables in real time
- Supports standard and delta updates for optimized performance
- Compatible with RDS, Cloud SQL, and Azure Database for MySQL
- Handles date-time normalization and time zone alignment automatically
- Enables secure connections via SSL or SSH tunneling
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 MySQL 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 MySQL insights always reflect the latest data by connecting your databases to MySQL with change data capture.
- Or connect critical SaaS apps to MySQL 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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