Getting Started with Fivetran and Snowflake
Move data from your sources into Snowflake with minimal setup.
Why Fivetran and Snowflake?
Fivetran is a managed ELT (extract–load–transform) service: it connects to your sources (databases, SaaS apps, files), extracts data, loads it into your warehouse, and keeps it in sync with automated, incremental syncs. Snowflake is a first-class destination, so Fivetran writes directly into Snowflake tables (often one per source entity) with consistent naming and optional normalization.
Using Fivetran for ingestion lets your team focus on transformation (e.g. with dbt) and analytics instead of building and maintaining connectors. You get reliable, schema-managed pipelines and clear visibility into sync history and schema changes.
Connect Fivetran to Snowflake
In Fivetran, add a destination and choose Snowflake. You’ll need your Snowflake account identifier, a user and password (or key-pair auth), a database and schema for Fivetran to create, and a warehouse. Fivetran will create the destination and test the connection. Then add connectors for each source (e.g. Salesforce, Google Analytics, a PostgreSQL database). Configure the connector (tables or entities to sync, sync frequency), and Fivetran will create schemas and tables in Snowflake and run the first sync.
After the initial load, Fivetran runs incremental syncs on the schedule you set. You can use the raw Fivetran tables as sources in dbt and build staging and mart models on top.
Need help with Fivetran integration?
Kundul helps teams implement Fivetran integrations, optimize Snowflake ingestion pipelines, and build dependable dbt-ready data foundations.
Book a call