40 Developers. One Governed Platform.
Scale data warehouse development across multiple agile teams — with enforced patterns, auto-generated documentation, CI/CD pipelines, and governance that doesn't slow you down.
- 40 Developers on one platform (ProSiebenSat.1)
- 50% Less employee onboarding time
- 14.7 min Requirement to production
The DataOps platform for enterprise data teams
From pattern enforcement to CI/CD — everything your data engineering team needs to scale without chaos.
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Pattern Enforcement at Scale
Data Vault 2.0 patterns are enforced by the platform — not by code reviews. Every developer follows the same standard automatically.
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Self-Documenting Architecture
Documentation is generated automatically from the model — always up to date, never a separate task. New joiners ramp up in days, not weeks.
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CI/CD & Git Native
ITIL-compliant deployments via Jenkins, Azure DevOps, or GitLab. One-click releases. Git versioning for every model change.
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DataOps Delivery Model
Agile sprints, business user involvement from day one, and automated testing — data delivered like software, not like a waterfall project.
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Parallel Development
Multiple teams work independently on the same vault without blocking each other. Merge conflicts are prevented by the model structure.
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Business User Collaboration
Business users define requirements directly in the tool. Data engineers implement them. No translation layer, no misunderstandings.
ProSiebenSat.1: 5 teams, 40 developers, 50% faster onboarding
ProSiebenSat.1, Europe’s leading broadcasting group, needed to scale data warehouse development across 5 agile teams with 40 developers — while maintaining consistency, quality, and speed across all teams.
With Datavault Builder:
- 5 agile teams of 40 developers working independently but consistently
- 50% reduction in new employee onboarding time — standardised patterns, auto-documented architecture
- Full data lineage from every source to every Power BI report
- 2 on-premises DWHs migrated to Snowflake in a single project
C&A: DataOps across 20+ European markets
C&A runs a DataOps delivery model across 20+ European markets — with multiple data engineering teams delivering new requirements in agile sprints, governed by the same Data Vault 2.0 standards enforced by Datavault Builder.
New KPI requirements are delivered within the same sprint, with business users involved in the definition process and full lineage generated automatically.
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It's the confidence of business users in the new data infrastructure and trustworthiness of data where DVB stepped in.
Trusted by data-driven teams across industries
Frequently Asked Questions
- Pattern enforcement is built into the platform — developers model data structures, and Datavault Builder generates the correct Data Vault 2.0 SQL. There is no way to generate non-compliant code. Pattern drift is architecturally impossible, not just prevented by code review.
- Datavault Builder integrates with Jenkins, Azure DevOps, GitLab CI, and other standard CI/CD pipelines. Every model change is version-controlled in Git and deployed through your existing release process.
- ProSiebenSat.1 achieved 50% reduction in onboarding time. Because all patterns are standardised and architecture is auto-documented, new team members learn the system — not a custom codebase. Most developers are productive within days.
See how Datavault Builder scales with your team
20 minutes. We'll show you pattern enforcement, CI/CD integration, and how parallel development works in practice.