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Capture data from Estuary and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.

<100ms to batch
200+ connectors
Managed data pipelines

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01. Move from Estuary02. Transform in-flight03. Select a destination

Estuary connector details

The Estuary capture connector in Estuary enables you to stream data from your source system in real time, with minimal impact on performance. Using log-based Change Data Capture (CDC), Estuary continuously ingests new and updated records without heavy bulk loads. Whether you need low-latency replication, hybrid cloud integration, or continuous analytics, Estuary ensures your data is accurate, fresh, and always moving where it needs to go.

Log-based CDC for high-performance, low-impact data capture
Automatic schema evolution to handle changes in source structure without manual intervention
Unified streaming and batch ingestion in the same pipeline
Hybrid deployment and BYOC support for security and control
Fault-tolerant pipelines that resume automatically from the last checkpoint
Kafka API connectivity for direct integration into streaming ecosystems

For more details about the Estuary connector, check out the documentation page.

How to connect Estuary to your destination in 3 easy steps

1
Connect Estuary as your data source
Securely connect Estuary 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
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.

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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. Capture data from Estuary using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

Connect Estuary to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
Capture once and reuse Estuary data across transformations and multiple downstream destinations without rebuilding source extraction.

See where you can send Estuary data:

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Details

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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