Datavault Builder is unclaimed —

Datavault Builder

Agile Data Warehousing | Model Driven·datavault-builder.com

Datavault Builder is a data warehouse automation platform built on the Data Vault 2.0 methodology. It automates the complete data warehouse lifecycle — from source integration and modeling to ETL/ELT code generation, deployment, and data lineage — replacing up to 9 separate tools with one platform. It can be deployed on-premises, in a private cloud (AWS, Azure, GCP), or as a fully hosted SaaS, with the option to switch deployment models on the same license.

What it's for

Automating the complete data warehouse lifecycleIntegrating multiple source systems into a unified Data Vault modelGenerating dimensional models, 3NF models, flat tables, and data products automatically from one modelPreparing structured, context-enriched data for AI and machine learning pipelinesProfiling, validating and testing data quality with error martsManaging data governance metadata (ownership, domains, retention periods)Automating CI/CD deployment and rollback for data warehouse releasesExposing the data model and warehouse as an MCP server for AI agents and copilots

Features 20

100% automatic column-level data lineage from source to report
AI Data Modeling Agent for natural-language questions about the model and data
Automated hub and link management for multi-source integration
Automated, always-current documentation
Automatic ETL/ELT code generation from the model (push-down and ELT patterns)
Automatic pattern and physical model updates when the model changes
Built-in analytics with charts, dashboards and drill-down
CI/CD with generated deployment and rollback scripts and deployment APIs
Data cleansing and business rules in the Business Vault (virtual or materialized)
Data governance metadata management (ownership, domains, retention periods)
Data harmonization of naming conventions, structures and business keys
Data ingestion from JDBC, files, NoSQL, streaming, or Python class (batch, delta, CDC, near real-time)
Data quality profiling, anomaly detection and validation with error marts
Excel export with formatting and grouping preserved
Git-based versioning with branching and rollback
Load orchestration and scheduling without custom scripts
MCP Server exposing the data model and warehouse for AI agents and copilots
One-click deployment with environment comparison and rollback
REST API for triggering loads, lineage access, and toolchain integration
Visual conceptual and logical data modeling with model versioning

At a glance

self-hostableAPI

TypeWeb app

DeploymentHybrid

LanguagesEnglish, German

Fordata engineering teams, enterprise data teams, data architects

Company2150 Datavault Builder AG

Integrations

SnowflakeDatabricksGoogle BigQueryMicrosoft FabricAzure Synapse AnalyticsAzure SQLOracleSQL ServerPostgreSQLExasolPower BITableauQlikAzure Active DirectoryJenkinsAzure DevOpsGitLab CIGitHub Actions

Complianceself-reported

ISO 27001:2022SOC 2 Type 2

Resources

Docs

Pricing

Pricing is based on team size, deployment model, and number of developers; list prices are not published and a tailored quote is provided after a discovery call.

StarterQuote

Pricing not publicly listed; requires contacting sales for a tailored quote.

1 production + 2 non-production environments; licenses for 2–4 developers

StandardQuote

Marked as 'Popular'; pricing not publicly listed, quote-based.

Licenses for 3–6 developers

EnterpriseQuote

Custom contract terms; pricing not publicly listed, quote-based.

Flexible licensing for any number of developers