Build Scalable Data Vaults
With dbtvault 2.0

Automate the creation of Data Vault 2.0 databases using dbt. Accelerate your data warehouse delivery by 10x with production-ready patterns.

0+ Databases Delivered
0+ Enterprise Clients
0x Faster Delivery

Why dbtvault 2.0?

Data Vault 2.0 methodology combined with the power of dbt for modern analytics engineering.

Automated Generation

Auto-generate Hubs, Links, Satellites, and T-Links from metadata. No hand-coding repetitive SQL.

🚀

Rapid Deployment

Go from raw sources to a fully modeled Data Vault in days, not months. CI/CD ready out of the box.

🔒

Full Auditability

Built-in hash keys, load timestamps, and record sources ensure complete traceability of every record.

Platform Agnostic

Works with Snowflake, BigQuery, Databricks, SQL Server, and more through dbt adapters.

📈

Scalable Architecture

Data Vault 2.0 patterns are built for parallel loading and infinite scalability as your data grows.

👥

Team Collaboration

Version-controlled models, modular design, and dbt docs make team collaboration seamless.

Our Services

End-to-end Data Vault 2.0 solutions tailored to your business needs.

01

Database Design & Architecture

We design your Data Vault 2.0 model from scratch — identifying business keys, defining hubs, links, and satellites aligned to your source systems.

  • Business key analysis
  • Hub, Link & Satellite modeling
  • Source-to-target mapping
02

dbtvault Implementation

We implement your Data Vault using dbtvault macros within dbt, with automated testing and documentation baked in.

  • dbt project setup & configuration
  • dbtvault macro implementation
  • Automated testing suite
03

Migration & Optimization

Already have a data warehouse? We migrate your existing models to Data Vault 2.0 and optimize performance.

  • Legacy warehouse migration
  • Performance tuning
  • Incremental loading strategies
04

Training & Support

Empower your team with hands-on Data Vault 2.0 and dbtvault training, plus ongoing expert support.

  • Team workshops & training
  • Best practices documentation
  • Ongoing technical support

How It Works

From raw data to a production-ready Data Vault in four simple steps.

1

Define Sources

Map your raw source systems and define business keys, relationships, and descriptive attributes in YAML metadata.

2

Stage & Hash

dbtvault stages your raw data, generates hash keys and hashdiffs, and prepares records for vault loading.

3

Load the Vault

Hubs, Links, and Satellites are loaded automatically using dbtvault macros with full idempotency and auditability.

4

Build Business Vaults & Marts

Create Point-in-Time tables, Bridge tables, and business-ready data marts for reporting and analytics.

Pricing Plans

Choose the right plan for your data vault journey.

Starter
$4,900
one-time project
  • Up to 5 source tables
  • Hub, Link & Satellite generation
  • dbt project setup
  • Basic documentation
  • 1 week delivery
Get Started
Enterprise
Custom
tailored engagement
  • Unlimited source tables
  • Full vault + marts + reporting
  • Migration from legacy DW
  • Dedicated architect
  • Ongoing support & maintenance
  • Custom timeline
Contact Us

What Our Clients Say

Trusted by data teams across industries.

★★★★★

"dbtvault 2.0 cut our data warehouse build time from 6 months to 3 weeks. The automated hub and satellite generation is a game-changer."

JM
James Mitchell Head of Data, FinServ Corp
★★★★★

"The auditability and traceability built into every model gives us confidence for regulatory compliance. Excellent architecture."

SR
Sarah Rodriguez VP Analytics, HealthData Inc
★★★★★

"Our team went from zero Data Vault knowledge to fully self-sufficient in weeks thanks to the training and clean codebase."

AK
Alex Kim Data Engineer, RetailMax

Start Your Data Vault Journey

Tell us about your project and we'll get back to you within 24 hours.