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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
Amazon Redshift connector details
The Amazon Redshift connector materializes Flow collections into Redshift tables using S3 as a secure staging layer for high-performance data loading. It ensures exactly-once delivery with optimized bulk loading and schema management. Designed for scalability, it handles both historical backfills and continuous data updates seamlessly.
- Materializes data into Redshift tables with exactly-once delivery
- Uses S3 staging for fast, reliable data transfer
- Supports standard and delta updates
- Works with SSL or SSH tunneling for secure connectivity
- Secure deployment within Estuary’s Private and BYOC environments for compliance and governance
💡 Tip: For best performance, keep one materialization per schema and ensure your Redshift cluster and S3 bucket are in the same AWS region.
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 Amazon Redshift 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 Redshift insights always reflect the latest data by connecting your databases to Amazon Redshift with change data capture.
- Or connect critical SaaS apps to Amazon Redshift 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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