Stream into Amazon Redshift with your free account
Deliver data from databases, SaaS apps, APIs, files, and streaming systems into Amazon Redshift using Estuary's pre-built connectors. Run pipelines from real-time streaming to scheduled batch based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Amazon Redshift connector details
The Amazon Redshift connector materializes Estuary 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.
See how Envoy uses Amazon Redshift
How to connect your data source to Amazon Redshift in 3 easy steps
- 1
Connect your data source
Select from more than 100 supported databases and SaaS platforms including PostgreSQL, MySQL, SQL Server, MongoDB, and Kafka.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Sync to Amazon Redshift
Continuously or periodically deliver data into your destination with support for change data capture and reliable delivery for accurate insights.
Learn more
Dive deeper into Amazon Redshift with this quick video from our YouTube channel.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Bring data from databases, SaaS apps, APIs, files, and event streams into Amazon Redshift, with capture and delivery cadence based on connector capabilities and pipeline configuration.
- Connect data from operational databases, SaaS applications, APIs, files, and streaming systems to Amazon Redshift through Estuary.
- Transform and route data through Estuary collections before delivering it to Amazon Redshift.
See what you can connect to Amazon Redshift:
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 | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
One platform for real-time and batch data pipelines
Deliver real-time and batch data from DBs, SaaS, APIs, and more
