Deploy Data Vault Anywhere
Build a scalable, flexible, and fully auditable data warehouse with BimlFlex.
Our native Data Vault automation generates hubs, links, satellites, and PIT tables directly from metadata—ensuring faster delivery, full historical tracking, and compliance-ready lineage.
What is Data Vault Architecture?
Data Vault is a data warehousing methodology designed for scalability, flexibility, and historical data preservation. It structures information into three core components to keep data stable, auditable, and easy to evolve as business needs change.
Hubs
A Hub stores unique business keys and represents core business concepts. Hubs contain only business keys, load timestamps, and record sources, maintaining data stability as the foundation for all relationships.
Links
A Link represents natural business relationships between core business concepts. Links capture the relationships between entities as they existed at specific points in time, enabling complex relationship tracking.
Satellites
A Satellite is connected to either a Hub or Link and maintains descriptive information. Satellites are the bearer of all descriptive attributes, context information, and time-slice history in the Data Vault model.
Automated Data Vault Generation
Metadata-driven framework aligned with Data Vault principles.
Business Key Identification
BimlFlex can automatically identify business keys from source systems and generate Hub structures with proper validation and standardization.
Link Table Creation
The platform establishes relationships through Link tables by analyzing source system relationships and creating appropriate Link structures.
Satellite Management
BimlFlex handles Satellite generation with historical tracking capabilities, managing descriptive attributes and context information over time.
Schema Evolution
Schema evolution capabilities facilitate methodology designed to accommodate changing business requirements without disrupting existing data structures.
Enhanced Data Vault Capabilities
Supporting complex enterprise data requirements.
Point-in-Time Tables
A Point In Time table is an optional concept in Data Vault that facilitates easier and more performant retrieval of data from the Data Vault model. It is a helper construct that is primarily meant to increase overall performance of queries by providing snapshot views at specific points in time.
Business Data Vault
A Business Data Vault is a conceptual construct that separates the original, unchanged data from the data against which transformations have been applied. This approach maps source data sets as closely as possible to the intended target Data Vault model without changing the meaning of the data.
Deploy Data Vault Anywhere
Multiple target platform support for Data Vault architectures.
Data Integrity Throughout Data Vault Loading
The error handling and logging features built into BimlFlex ensure data integrity throughout the Data Vault loading process, providing comprehensive audit trails that are essential for compliance and data governance in enterprise environments.
Transform Your Data Architecture
Turn metadata into a complete, automated Data Vault that's fully scalable, audit-ready, and built to evolve with your business.
Schedule a demo to see how BimlFlex generates hubs, links, satellites, and PIT tables natively for faster, more consistent, and compliance-ready delivery.
