SFTP integration
SFTP data, in your warehouse.
A built-in ingestr connector: add credentials, pick tables, schedule it.
name: raw.table
type: ingestr
parameters:
source_connection: sftp
source_table: '<table>'
destination: snowflake
incremental_strategy: merge$ bruin run assets/raw/sftp.asset.yml
- extract · SFTP dataincremental
- load · snowflake raw.datamerged
- checks · not_null, unique
Loaded and checked. Downstream models can run.
How it connects
Connected in three steps.
Secure File Transfer Protocol providing encrypted file transfer capabilities over SSH, enabling secure data exchange between systems.
- 01
Add a SFTP connection with its credentials.
- 02
Pick the tables to load and how: replace, append or merge.
- 03
Bruin runs it on your schedule and checks every load.
Connection parameters
- user
- SFTP username
- password
- SFTP password (if not using key-based auth)
- host
- SFTP server hostname
- port
- SFTP port (default: 22)
- private_key_path
- Path to SSH private key file
The platform
Part of the Bruin platform.
Data in, ready for everything downstream: the models, the checks, the lineage and the AI layer.
Sources
DatabasesWarehousesApps & APIsFiles & storageStreams & webhooksWeb scrapingMove
Data IngestionFrequently asked
Questions about SFTP.
Does Bruin have a built-in SFTP integration?
Yes. Built-in ingestr source.
Where can SFTP data go?
Snowflake, BigQuery, Databricks, Redshift, ClickHouse, Postgres, DuckDB, MotherDuck, Microsoft Fabric and more, plus files on S3 and GCS.
How fresh is the data?
As fresh as your schedule. Incremental loads append, merge or replace a time window, every few minutes if you like.
Do we need Bruin Cloud?
No. The Bruin CLI and ingestr run locally, in CI or in your own orchestrator. Bruin Cloud adds scheduling, lineage, alerts and the AI data analyst on top.
Ready to connect SFTP?
$100 in credits and 50 AI tasks. No credit card.
A demo walks through your own data.