ANALYTICS ENGINEERING

dbt + any source

Already using dbt? DVT extends your project to reference sources beyond your warehouse. Add MySQL operational data, Oracle ERP data, or S3 files — without changing your existing models. Same ref(), same source(), same everything.

REAL-WORLD EXAMPLE

A data team using dbt with Snowflake needs to join CRM data from an on-prem MySQL instance. Instead of building a separate Fivetran pipeline, they add the MySQL source to their DVT project and write one SQL model.

DATA FLOW

WHAT ENABLES THIS

DROP INTO AN EXISTING PROJECT →

DVT wraps stock dbt-core — your models, macros, and packages run unchanged

SOURCES.YML & META.CONNECTION →

four yaml lines bind a source to another engine; ref() and source() stay the same

.SQL MODELS →

f_table and f_incremental sit beside your existing materializations

RELATED USE CASES

HYBRID ANALYTICS

Best of both worlds

STARTUP DATA STACK

Full ELT on a laptop

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

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