5 things to know about where Fivetran sends your data

Fivetran presents data destinations as a central architectural decision because they determine how data is governed, analyzed, modeled, and returned to business systems. Its platform standardizes schemas and metadata across destinations, aiming to make dbt projects, SQL logic, and prebuilt analytics packages portable among warehouses such as Snowflake, BigQuery, Databricks, and Redshift. Tables can use either soft-delete mode for current-state records or history mode for native SCD Type 2 tracking, with automatic restructuring when modes change. Fivetran also supports managed open data lakes using Iceberg and Delta formats in cloud storage, enabling multiple query engines to access shared data while automatically updating catalogs such as AWS Glue, Unity Catalog, and BigLake. Through its Activations reverse ETL service, governed warehouse data can be synchronized to operational tools including CRMs, marketing platforms, advertising systems, and collaboration applications. The company supports more than 30 destination types, spanning cloud warehouses, data lakes, analytical and relational databases, streaming services, and vector databases, with common connector coverage and optional hybrid deployment for data residency needs.

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