

Your destination for Data Vault solutions
We are certified experts in Data Vault 2.0. We are the premium service and training provider for the Data Vault methodology, with resources, training, and services to support your business.
Talk to a member of our team to learn more about our Data Vault services.
No matter where you are on your Data Vault journey, we're here to help you every step of the way
Data Vault can seem too complex to understand where to start. That’s why we’ve broken it down into easily digestible nuggets of information to help you understand Data Vault clearly through the lens of your business needs.

What is Data Vault?
Data Vault is a modern data warehousing methodology designed to handle complex, high-volume data environments with agility auditability and scalability. It's the top choice for organizations looking to build a strong foundation for GenAI, modernize their data platform, or tackle data challenges during mergers and acquisitions.
Data Vault: Overview
Data Vault is a powerful data warehousing solution that extracts, cleans and organizes data from your business systems and applications. This data is perfect for business reporting, analytics, and training GenAI applications.
Data Vault stands out as a solution because it is designed to meet today’s needs:
Scalability
Agility
Flexibility
Auditability
Automation
Long-Term Data Integrity
Why Data Vault?
Data Vault solves the problems traditional data warehouses struggle with:
-
Scalable architecture for cloud platforms like Snowflake, BigQuery, and Azure
-
Flexible design that evolves with your business
-
Auditability for full data lineage and compliance
-
Automation-ready with tools like AutomateDV
-
AI-ready for training GenAI and LLMs
How Does it Work?
Your business runs on multiple systems and each generates valuable data. Data Vault extracts, cleans, and organizes this data into a unified warehouse using three core components:
-
Hubs: Unique business keys (e.g. Customer ID)
-
Links: Relationships between entities (e.g. Customer <-> Order)
-
Satellites: Descriptive attributes and historical changes
This layered architecture (stage -> integrate -> product) aligns with the Medallion architecture (bronze -> silver -> gold) and supports both batch and real-time loading.

Is Data Vault for You?
Data Vault isn’t the only approach you could use to develop your Data Warehouse, and it may not be right for you.
Data Vault is ideal for:
-
Enterprises with multiple data sources and domains
-
Teams needing auditability and compliance
-
Organizations preparing for GenAI and AI agents
-
Platforms built on cloud-native databases
-
Data Mesh implementations needing semantic integration
Data Vault in Detail
Data Vault is particularly suited for cloud databases, high data volumes, parallel loading, and integration.
It excels in maintaining data integrity and providing a comprehensive audit trail, tracking each data change for complete traceability and regulatory compliance.
Data Vault’s modular approach allows easier integration of new data sources, enabling the data warehouse to evolve with the business without significant rework.
Data Vault supports both batch and real-time loading, accommodating data arriving at different cadences. It is the only method that performs semantic integration, a key part of providing high-quality data for training large language models (LLMs) and AI.
Data Vault and Medallion Architecture
Data Vault's layered architecture—stage, integrate, and product—aligns perfectly with the medallion architecture's bronze, silver, and gold layers. Its powerful techniques for semantic integration make it an excellent practice for the silver layer.
Data Mesh and Data Vault
In the context of data mesh, Data Vault addresses a different level of design.
While data mesh focuses on federated data, Data Vault can be used within a domain wherever integration is needed, such as at the presentation level or within analytic domains.
Learn Data Vault
