Move your data from SFTP with your free account

Capture data from SFTP 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 SFTP02. Transform in-flight03. Select a destination

SFTP connector details

The SFTP capture connector in Estuary captures files from an SFTP server and loads their contents into Estuary collections. It can continuously discover and ingest newly added files from a configured directory and its subdirectories, making it useful for automated file-based data pipelines.

Incremental file capture based on file modification time
Recursive capture from subdirectories within the configured SFTP directory
File filtering with regular expressions to capture only matching files
Supports Avro, CSV, JSON, Protobuf, and W3C Extended Log formats
Supports ZIP, GZIP, and ZSTD compression, with automatic compression detection
Automatic file format and schema detection for most captures
Multiple directory bindings within a single capture task
Password or SSH key authentication
Optional Ascending Keys mode for environments where files are written in strict lexicographical path order

By default, Estuary captures existing files and then incrementally captures newly added files according to their modification timestamps. If a file’s modification time changes, it may be captured again. For controlled file-naming schemes, Ascending Keys mode can instead process newly added files based on lexicographical path ordering.

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

How to connect SFTP to your destination in 3 easy steps

1
Connect SFTP as your data source
Securely connect SFTP 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 SFTP using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.

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

See where you can send SFTP data:

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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