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Millersoft Announces Open Source Data Vault Engine & Studio

· 4 min read
Calum Miller
Calum Miller
Director

Data Vault Engine Released

“Great things are done by a series of small things brought together.” — Vincent van Gogh

Millersoft introduces a metadata-driven Data Vault automation platform with a visual Studio for workflow-driven delivery, AI analytics readiness, and open source extensibility.

Edinburgh, Scotland — 20th of July, 2026 — Millersoft today announced the upcoming open source release of the Millersoft Data Vault Engine and Studio, a metadata-driven platform designed to help data teams build, manage, and evolve Data Vault architectures with greater consistency, transparency, and speed.

Released under the Apache License, the Millersoft Data Vault Engine is designed to give organisations, consultants, and data engineers an open foundation for Data Vault automation. The accompanying Millersoft Data Vault Studio provides a visual, workflow-driven interface for modelling, configuration, orchestration, and guided interaction with the Engine.

As organisations prepare for AI analytics, semantic modelling, data products, and enterprise-scale governance, the need for trusted, historised, auditable data foundations has never been greater. Millersoft believes the Data Vault pattern, combined with open source engines and metadata-first automation, represents a new frontier for modern analytics delivery.

“AI analytics, all powered by the Data Vault architecture and open source engines, is the new data frontier,” said Calum Miller, Founder/Owner of Millersoft. “We want teams to explore it, build on it, and adapt it to their own environments. The Engine and Studio are designed to make Data Vault delivery more repeatable, more transparent, and more accessible.”

A Metadata-Driven Approach to Data Vault Delivery​

The Millersoft Data Vault Engine is built around a metadata-first philosophy. Instead of hard-coding every pattern by hand, users define structures, relationships, rules, and workflows that the Engine can use to support repeatable Data Vault generation and operation.

The Studio adds a visual layer that helps teams interact with the Engine through guided workflows, making the platform suitable not only for engineers, but also for architects, analysts, and delivery teams who need a clearer view of how Data Vault components are defined and managed.

Key capabilities include:

  • Metadata-driven Data Vault modelling and automation
  • Visual Studio interface for workflow-driven interaction
  • Support for repeatable Data Vault delivery patterns
  • Open source extensibility under the Apache License
  • A foundation for analytics, AI readiness, governance, and lineage-aware delivery
  • Professional services support for organisations seeking expert guidance

Open Source Foundation, Professional Experience Available​

Millersoft is releasing the platform as open source to encourage experimentation, learning, contribution, and innovation across the Data Vault community.

However, Millersoft also recognises that successful Data Vault delivery requires more than tooling. The Data Vault pattern can appear deceptively simple, but real-world implementations often expose complex challenges around business keys, source-system behaviour, historical change, data quality, integration semantics, and governance.

“The Engine and Studio can help accelerate delivery, but they do not replace Data Vault experience,” added Calum Miller. “Our goal is to give teams a powerful open source foundation while also making experienced support available for organisations that want to avoid common pitfalls and deliver with confidence.”

Millersoft’s consultants bring practical experience building live Data Vaults both manually and using the Millersoft Data Vault Engine. Professional services are available for architecture review, implementation support, modelling validation, delivery acceleration, and best-practice guidance.

Availability​

The Millersoft Data Vault Engine and Studio will be made available as an open source project under the Apache License.

Further details, documentation, community resources, and release information will be published via Millersoft’s official channels.

Organisations interested in early access, implementation support, or professional services can contact Millersoft directly.

About Millersoft​

Millersoft helps organisations design, build, and operate modern data platforms using Data Vault architecture, metadata-driven automation, and pragmatic engineering practice.

With experience across hand-built and automated Data Vault delivery, Millersoft supports teams seeking scalable, governed, and AI-ready analytics foundations.

History of the Data Vault Engine​

More details here on the original history of the Data Vault Engine and the Millersoft refinements.

Videos of Data Vault Studio in Action​

Watch Data Vault Studio use AI to build a Data Vault.

Contact​

Millersoft
LinkedIn: https://www.linkedin.com/in/millersoft
Website: https://millersoft.co
Email: calum+datavault@millersoftltd.com
GitHub: https://github.com/millersoft/datavault