Move Amazon Redshift Batch to Any Destination, Real-time ETL & CDC

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REAL-TIME ETL & CDC

Move your data from Amazon Redshift Batch with your free account

Continously ingest and deliver both streaming and batch change data from 150+ of sources using Estuary's custom no-code connectors.

  • <100ms Data pipelines
  • 200+ Connectors
  • 2-5x less than batch ELT

01. Move from Amazon Redshift Batch02. Transform in-flight03. Select a destination

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Estuary’s Amazon Redshift connector enables seamless data capture from your Redshift clusters into Estuary 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 Estuary collections for unified processing
  • Supports incremental syncs via ascending cursor fields to minimize load and latency
  • Easily configured using Estuary’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

How to connect Amazon Redshift Batch to your destination in 3 easy steps

1

Connect Amazon Redshift Batch as your data source

Securely connect Amazon Redshift Batch and choose the objects, tables, or collections you need to sync.

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 your destination

Continuously or periodically deliver data to your destination with support for change data capture and reliable delivery for accurate insights.

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HIGH THROUGHPUT

Distributed event-driven architecture enable boundless scaling with exactly-once semantics.

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DURABLE REPLICATION

Cloud storage backed CDC w/ heart beats ensures reliability, even if your destination is down.

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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 200+ 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.

See how you can integrate Amazon Redshift Batch with any destination:

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or choose from these popular data sources:

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

EstuaryBatch ELT/ETLDIY PythonKafka
Price$$$-$$$$$-$$$$$-$$$$
Speed<100ms5min+Varies<100ms
EaseAnalysts can manageAnalysts can manageData EngineerSenior Data Engineer
Scale
Maintenance EffortLowMediumHighHigh

Detailed Comparison

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

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