Automate Your Data Warehouse on Snowflake

Datavault Builder generates 100% native Snowflake SQL. Model visually, generate code automatically, deploy in one click — from requirement to production in 14.7 minutes on average.

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14.7 min From requirement to production
400% Productivity increase
100% Native Snowflake SQL — no runtime engine

Successful DWH automation implementations across industries

40 developers scaled a cloud migration to Snowflake

ProSiebenSat.1 migrated two on-premises DWHs to a unified Snowflake platform with 5 agile teams of 40 developers — halving new employee training time in the process.

Datavault Builder provided the standardised patterns and automated deployment that made decentralised development at that scale possible.

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Porta built a single point of truth on Snowflake

Porta used Datavault Builder on Snowflake to build a single source of truth that enabled agile Data Mart delivery — up to 200 KPIs per department in Power BI.

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If automation is a good fit, you'll know. If not, you'll walk away with clarity and next steps you can use right away.

Matt Discovery Call Lead Datavault Builder

Frequently Asked Questions

: Yes — 100% native Snowflake SQL/DDL. No proprietary runtime engine runs inside your Snowflake account.
: dbt handles transformations only. Datavault Builder covers the full DWH lifecycle: data modelling, staging, Raw Vault, Business Vault, dimensional output, data lineage, and CI/CD deployment — in one visual tool.
: Yes. Datavault Builder supports Snowpark for Python-based transformations alongside traditional SQL generation.
: Most teams go from first requirement to production in 14.7 minutes on average. Full project setup typically succeeds within 6 months (94% success rate).

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Live demo. Honest answers on whether it’s the right fit for your team.

Matt Collett

Sales Director