Move your data from Amazon Redshift Batch with your free account
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 Batch connector details
Estuary’s Amazon Redshift connector enables seamless data capture from your Redshift clusters into Flow collections for analysis or downstream synchronization. It supports incremental data extraction using user-defined cursors, ensuring that only new or updated records are transferred efficiently.
- Captures data from Amazon Redshift clusters into Flow collections for unified processing
- Supports incremental syncs via ascending cursor fields to minimize load and latency
- Easily configured using Flow’s web interface or YAML specifications
- Compatible with IAM-based authentication and custom JDBC parameters for fine-grained control
- Secured through private network connectivity, SSH tunneling, or BYOC deployment options for compliance-focused environments
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 Amazon Redshift Batch 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 Batch insights always reflect the latest data by connecting your databases to Amazon Redshift Batch with change data capture.
- Or connect critical SaaS apps to Amazon Redshift Batch 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
Build Free Pipeline
