VaultSpeed + Google BigQuery

Enterprise data automation, natively executed on BigQuery

BigQuery is Google Cloud’s fully managed analytics data warehouse. VaultSpeed adds an active metadata repository and model-driven automation, so you define business intent once and VaultSpeed generates deterministic, production-ready BigQuery-native SQL that you own and can deploy without runtime lock-in.

The Struggle

BigQuery scales instantly. Standardizing transformation logic doesn't

Different modeling approaches across domains

Different modeling approaches across domains

Manual coordination around changes

Manual coordination around changes

Rebuilds instead of controlled evolution

Rebuilds instead of controlled evolution

Growing difficulty tracking dependencies and lineage

Growing difficulty tracking dependencies and lineage

Databricks scales pipelines, lineage and assets efficiently, but as more domains ship notebooks, DLT pipelines, and Jobs, transformation logic multiplies. Maintaining a clear link between business intent and implementation becomes harder. Governance exists at the asset level, yet shared business context can gradually fade.

The Gap

Unlock faster, governed data modeling and transformation on BigQuery

BigQuery provides enterprise-grade security and governance features, including IAM-based access control. But scaling delivery still requires a consistent way to translate business intent into governed, repeatable transformation patterns, without relying on tribal knowledge or brittle conventions. VaultSpeed fills that gap by using active metadata as the system of record for consistent delivery across teams.

The solution

Model-driven automation, native BigQuery execution

VaultSpeed adds a centralized active metadata layer on top of BigQuery. You model business intent once, and VaultSpeed generates runtime-free, BigQuery-native SQL. Execution happens in BigQuery. VaultSpeed is not a runtime engine.

How it works

Open, governed, and AI-ready

VaultSpeed connects business intent to execution through active metadata. It produces BigQuery-native transformation logic while keeping models, lineage, and change history governed and accessible.

Native Integration

BigQuery-native automation with governed setup options

VaultSpeed supports connecting to Google BigQuery through documented connection setup, including service account based authentication and agent configuration. VaultSpeed documentation also describes optional deployment configurations that can automate deployment of generated assets, subject to the documented prerequisites for the deployment agent.

Why VaultSpeed

Built for BigQuery scale and enterprise governance

Active metadata repository

Centralizes governance, lineage, and controlled reuse in one place.

Active metadata repository

Centralizes governance, lineage, and controlled reuse in one place.

Runtime-free, BigQuery-native code

Code you own with no runtime lock-in, deployed natively on BigQuery.

Runtime-free, BigQuery-native code

Code you own with no runtime lock-in, deployed natively on BigQuery.

Delta-only code generation

Regenerates only what changed for safer releases.

Delta-only code generation

Regenerates only what changed for safer releases.

Designed for change

Schema drift handling embedded directly into generated pipelines.

Designed for change

Schema drift handling embedded directly into generated pipelines.

4.8/5 customer rating

Real-world reviews that speak for themselves

  • 1 year into VaultSpeed

    5/5

    VaultSpeed has given us a strong foundation for enabling AI on top of our data platform. By using Data Vault automation, we can structure and normalize data consistently, which is essential when building knowledge graphs, vectorized indexes, and semantic layers for complex AI queries.

    Raymond L.

    Chief Engineer

    Mid-Market (51-1,000 employees)

  • A must tool for Data Vault automation

    5/5

    VaultSpeed takes the heavy lifting out of Data Vault. It's business model-driven, so once a source is modeled, we can onboard it into the Raw Vault in less than a week, something that used to take months of manual coding.

    Radhakrishna Nayak K.

    Senior Business Intelligence Consultant

    Enterprise (10,000+ employees)

  • Flexible and intuitive automation tool for building Data Vault

    5/5

    VaultSpeed has significantly streamlined the way we build our enterprise Data Vault. The platform offers an intuitive interface and a well-structured approach to implementing Data Vault methodology, making it easy to follow and adopt.

    Lærke Lyhne H.

    Senior Data Engineer

    Enterprise (10,000+ employees)

  • VaultSpeed is a key enabler in our data warehouse migration program

    5/5

    We have to deal with very large, complex warehouses, thousands of tables, 5,000+ active users, and decades of legacy. VaultSpeed makes it possible to tackle this in manageable, automated steps.

    LG

    Laurent G.

    Data Warehouse / Modelling Lead

    Enterprise (10,000+ employees)

  • VaultSpeed is the next generation solution for Data Vault!

    5/5

    VaultSpeed simplifies the data vault build process with built-in solutioning that ensures the build is done correctly. The parameter-based solution allows for mass changes across the solution.

    GB

    Gayle B.

    Data Warehouse Architect

    Mid-Market (51-1,000 employees)

  • VaultSpeed revolutionizes enterprise data modeling

    4.5/5

    As a Product Owner, what I appreciate most about VaultSpeed is the balance between standardization and flexibility. The platform enforces best practices of Data Vault 2.0, which gives me confidence that our data warehouse design is sustainable and future-proof.

    CJ

    Christoph J.

    IT Product Owner

    Enterprise (1,000+ employees)

  • 1 year into VaultSpeed

    5/5

    VaultSpeed has given us a strong foundation for enabling AI on top of our data platform. By using Data Vault automation, we can structure and normalize data consistently, which is essential when building knowledge graphs, vectorized indexes, and semantic layers for complex AI queries.

    Raymond L.

    Chief Engineer

    Mid-Market (51-1,000 employees)

  • A must tool for Data Vault automation

    5/5

    VaultSpeed takes the heavy lifting out of Data Vault. It's business model-driven, so once a source is modeled, we can onboard it into the Raw Vault in less than a week, something that used to take months of manual coding.

    Radhakrishna Nayak K.

    Senior Business Intelligence Consultant

    Enterprise (10,000+ employees)

  • Flexible and intuitive automation tool for building Data Vault

    5/5

    VaultSpeed has significantly streamlined the way we build our enterprise Data Vault. The platform offers an intuitive interface and a well-structured approach to implementing Data Vault methodology, making it easy to follow and adopt.

    Lærke Lyhne H.

    Senior Data Engineer

    Enterprise (10,000+ employees)

  • VaultSpeed is a key enabler in our data warehouse migration program

    5/5

    We have to deal with very large, complex warehouses, thousands of tables, 5,000+ active users, and decades of legacy. VaultSpeed makes it possible to tackle this in manageable, automated steps.

    LG

    Laurent G.

    Data Warehouse / Modelling Lead

    Enterprise (10,000+ employees)

  • VaultSpeed is the next generation solution for Data Vault!

    5/5

    VaultSpeed simplifies the data vault build process with built-in solutioning that ensures the build is done correctly. The parameter-based solution allows for mass changes across the solution.

    GB

    Gayle B.

    Data Warehouse Architect

    Mid-Market (51-1,000 employees)

  • VaultSpeed revolutionizes enterprise data modeling

    4.5/5

    As a Product Owner, what I appreciate most about VaultSpeed is the balance between standardization and flexibility. The platform enforces best practices of Data Vault 2.0, which gives me confidence that our data warehouse design is sustainable and future-proof.

    CJ

    Christoph J.

    IT Product Owner

    Enterprise (1,000+ employees)

  • 1 year into VaultSpeed

    5/5

    VaultSpeed has given us a strong foundation for enabling AI on top of our data platform. By using Data Vault automation, we can structure and normalize data consistently, which is essential when building knowledge graphs, vectorized indexes, and semantic layers for complex AI queries.

    Raymond L.

    Chief Engineer

    Mid-Market (51-1,000 employees)

  • A must tool for Data Vault automation

    5/5

    VaultSpeed takes the heavy lifting out of Data Vault. It's business model-driven, so once a source is modeled, we can onboard it into the Raw Vault in less than a week, something that used to take months of manual coding.

    Radhakrishna Nayak K.

    Senior Business Intelligence Consultant

    Enterprise (10,000+ employees)

  • Flexible and intuitive automation tool for building Data Vault

    5/5

    VaultSpeed has significantly streamlined the way we build our enterprise Data Vault. The platform offers an intuitive interface and a well-structured approach to implementing Data Vault methodology, making it easy to follow and adopt.

    Lærke Lyhne H.

    Senior Data Engineer

    Enterprise (10,000+ employees)

  • VaultSpeed is a key enabler in our data warehouse migration program

    5/5

    We have to deal with very large, complex warehouses, thousands of tables, 5,000+ active users, and decades of legacy. VaultSpeed makes it possible to tackle this in manageable, automated steps.

    LG

    Laurent G.

    Data Warehouse / Modelling Lead

    Enterprise (10,000+ employees)

  • VaultSpeed is the next generation solution for Data Vault!

    5/5

    VaultSpeed simplifies the data vault build process with built-in solutioning that ensures the build is done correctly. The parameter-based solution allows for mass changes across the solution.

    GB

    Gayle B.

    Data Warehouse Architect

    Mid-Market (51-1,000 employees)

  • VaultSpeed revolutionizes enterprise data modeling

    4.5/5

    As a Product Owner, what I appreciate most about VaultSpeed is the balance between standardization and flexibility. The platform enforces best practices of Data Vault 2.0, which gives me confidence that our data warehouse design is sustainable and future-proof.

    CJ

    Christoph J.

    IT Product Owner

    Enterprise (1,000+ employees)

Manage your Data Vault metadata visually

Talk to an expert

Manage your Data Vault metadata visually

Talk to an expert

Manage your Data Vault metadata visually

Talk to an expert