← All Use Cases

MULTI-CLOUD CONSOLIDATION

End vendor lock-in

Sources scattered across BigQuery, Snowflake, and Redshift? DVT federates across all three into one unified target. Switch cloud providers without rewriting your pipeline. Your SQL models are engine-agnostic.

REAL-WORLD EXAMPLE

A SaaS company with acquisitions has data in BigQuery (marketing), Snowflake (finance), and Redshift (product). DVT consolidates all three into a single PostgreSQL analytics database.

DATA FLOW

BigQuery + Snowflake + Redshift → DVT → Unified target

WHAT ENABLES THIS

DIALECT TRANSPILATION →

one DuckDB-dialect model compiles to each warehouse's SQL automatically

SWITCHING THE DEFAULT TARGET →

proven: 67/67 models green after swapping the lakehouse with a 2-line profile change

SUPPORTED DATABASES →

all three warehouses are first-class federation sources on the Max plan

RELATED USE CASES

CLOUD REPATRIATION

Bring your data home

ANALYTICS ENGINEERING

dbt + any source

Sound like your situation? You can have the first model running today.

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