Amazon S3 to Snowflake integration
Connect Amazon S3 to Snowflake and automatically sync your cloud data warehouse data.
Amazon S3
Data source
CONNECTOR SOURCE
Amazon S3 to Snowflake
Connect Amazon S3 to Snowflake and automatically sync your cloud data warehouse data. Weld extracts Tables, Views, Schemas, and Databases from Amazon S3, loads them into Snowflake, and lets you transform the data using SQL or dbt, no custom scripts required.
Everything you need to get started
Amazon S3
Snowflake
Weld Connect API
Set up programmatically
Use the Weld Connect REST API to create Amazon S3 connections, configure ELT syncs, and manage pipelines entirely through code. Built for embedding, automation, and CI/CD workflows.
▌FAQs
How do I sync Amazon S3 data to Snowflake?
Sign up for Weld, connect Amazon S3 as a source and Snowflake as a destination. Weld handles the extraction, loading, and lets you transform data using SQL or dbt.
What Amazon S3 data can I sync to Snowflake?
You can sync Tables, Views, Schemas, and Databases. The available objects depend on your Amazon S3 account permissions and configuration.
How often does Weld sync data from Amazon S3?
Sync frequency depends on your Weld plan. Schedules range from every 5 minutes to daily intervals. Each sync processes only new and changed data.
Can I transform Amazon S3 data before it lands in Snowflake?
Yes. Weld supports SQL-based transformations in the platform and integrates with dbt Cloud. You can clean, join, and model your data before analysis.
Is the Amazon S3 to Snowflake integration secure?
Yes. Weld encrypts all data in transit and at rest, is SOC 2 Type II certified, and supports IP whitelisting. Credentials are stored encrypted and never logged.
Start syncing Amazon S3 to Snowflake
Set up your Amazon S3 data pipeline in minutes. No credit card required.