Migrate to the Cloud. Without Starting from Zero.
Move your on-premises data warehouse to Snowflake, Databricks, or Azure — preserving existing business logic, maintaining full data lineage, and enabling parallel-run migration without business disruption.
- 2 On-premises DWHs migrated (ProSiebenSat.1)
- 50% Less new employee onboarding time
- 400% Faster data integration
Everything your cloud migration needs — in one platform
From legacy DWH to cloud-native data vault — model-driven, governed, and auditable.
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Platform-Native Code Generation
Datavault Builder generates native SQL for Snowflake, Databricks, Azure Synapse, BigQuery, and more. No generic abstraction layer — real platform SQL.
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Parallel-Run Migration
Run the new cloud vault alongside your legacy DWH during migration. Compare outputs, validate results, and cut over when ready.
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Legacy Logic Preservation
Existing transformation logic is re-modelled in Data Vault 2.0 — not discarded. Your business rules are preserved and version-controlled.
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Multi-Team Governance
Multiple agile teams can develop independently on the same vault — with pattern enforcement and auto-documentation preventing drift.
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Full Lineage from Day One
100% automatic data lineage from every source to every report is generated from the first day of development — not added later.
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No Cloud Lock-In
Platform-agnostic architecture means you can migrate to a different cloud later — without rebuilding your models.
ProSiebenSat.1: 2 DWHs, 40 developers, 50% faster onboarding
ProSiebenSat.1, Europe’s leading broadcasting group, needed to migrate two on-premises data warehouses to a unified Snowflake platform — while keeping 5 agile teams of 40 developers productive throughout the transition.
With Datavault Builder:
- 2 on-premises DWHs migrated to Snowflake in a single project
- 5 agile teams of 40 developers working independently but consistently
- 50% reduction in new employee onboarding time — standardised patterns, auto-documented
- Full data lineage from every source to every Power BI report
Porta: 200+ KPIs per department on Snowflake
Porta, a leading European furniture retailer, migrated their BI infrastructure to Snowflake with Datavault Builder — replacing a fragile legacy system with an automated data vault delivering a single source of truth.
Every department now has 200+ governed KPIs delivered directly to Power BI — with the flexibility to add new requirements within the same sprint.
Trusted by data-driven teams across industries
Frequently Asked Questions
- Datavault Builder generates native SQL for Snowflake, Databricks, Microsoft Fabric, Azure Synapse, Google BigQuery, SQL Server, Oracle, Exasol, and PostgreSQL. You choose your target platform and Datavault Builder generates the right SQL for it.
- Yes. Parallel-run migration is one of the most common patterns. You develop the new vault while the legacy system stays live, compare results between the two, and cut over department by department or mart by mart.
- Datavault Builder enforces Data Vault 2.0 patterns across all developers — preventing pattern drift, auto-generating documentation, and enabling independent development on the same vault. ProSiebenSat.1 ran 5 teams of 40 developers on this model.
Plan your migration with a live demo
20 minutes. We'll walk through a migration scenario on your target platform — Snowflake, Databricks, or Azure.