Use case — Microsoft SQL Server
Your SQL Server is already there. What it lacks is an architecture.
Most organizations running SQL Server also have years of accumulated scripts, stacked views and working tables whose origin no one remembers. beVault generates native T-SQL optimized for on-premises SQL Server or Azure SQL, and lets you build a Data Vault 2.0 architecture on top of your existing infrastructure — without forcing a move to the cloud.
- Native T-SQL generated — no additional abstraction layer
- Compatible with SQL Server on-premise and Azure SQL Managed Instance
- Native historization, without reliance on homegrown temporal mechanisms
- Progressive domain by domain deployment, without production downtime
Challenges
Four signs that a SQL Server is running out of steam
Scripts without owner
Hundreds of stored procedures written by successive teams. No one knows what can be touched without risk.
Tests impossible
Each modification is validated in production. Regressions are discovered in reports, not before.
Overwritten history
Tables are updated in place. Reconstructing the state of the data six months ago has become a project in its own right.
Cloud migration under pressure
The cloud isn't mandatory. But without architecture, migration won't solve the underlying problems.
What beVault provides
A Data Vault 2.0 architecture on your SQL Server
- 01
Inventory and Prioritization
Mapping of sources, reports, and their consumers. We select a high-value domain.
- 02
T-SQL code generation
The Raw Vault is generated with correct Data Vault 2.0 structures — hubs, links, satellites — in native SQL Server T-SQL.
- 03
Mart reconstruction
The metrics are recalculated from the Data Vault and compared figure by figure with the old system before any cutover.
- 04
Progressive decommission
Domain by domain, old scripts are replaced. Velocity increases with each iteration.
Frequently asked questions
SQL Server and beVault
Should we migrate to Azure?
No. beVault runs on SQL Server on-premise. If you migrate to Azure SQL eventually, the same model follows without change.
Are existing stored procedures migrated?
No — we cleanly rebuild the loading layer rather than migrating problematic code.
Is the generated T-SQL readable?
Yes. It's standard T-SQL, commented, versionable in Git and exportable at any time.
Does beVault work with SSIS or Azure Data Factory?
beVault orchestrates its own loads. If SSIS or ADF handle other flows, the two coexist.
Next step