Is your data ready for Analytics and AI?
Your data team should focus on delivering trusted data to the business — not maintaining many different tools. Datavault Builder automates the entire data warehouse lifecycle in one platform.
- 100% Designed for data quality
- 15 min From requirement to production
- 94% Success rate in 6 months
- 9 Tools replaced by one platform
Trusted by data-driven teams across industries
One platform. Every stage of your data warehouse.
Datavault Builder is not just a modelling tool — it includes a set of specialised tools, each covering a distinct task of data management. Instead of assembling and maintaining 9 or more separate products, your team gets everything in one platform, ready to use.
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Visual, model-driven design from concept to production-ready code.
- Conceptual Data Modeling
- Logical Data Modeling
- Model Versioning
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Batch, delta, CDC and near real-time loads from any source — JDBC, files, NoSQL, streaming, or Python class.
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Integrate data from multiple source systems into a unified Data Vault model with automated hub and link management.
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Align inconsistent structures, naming conventions, and business keys across source systems without manual SQL.
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Apply business rules, filter invalid records, and standardise values in the Business Vault layer — virtual or materialised.
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Generate output layers automatically from the same model — no rework, no duplicate pipelines.
- Dimensional Models (Star Schema)
- 3NF Models
- Data Products
- Flat Tables
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Prepare structured, context-enriched data for machine learning and AI pipelines.
- Context-enriched Data
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Profile source data, detect anomalies, and validate outputs. Full lineage from source to BI report.
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Manage the metadata that keeps your data warehouse trustworthy and compliant.
- Data Ownership
- Data Domains
- Retention Periods
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100% automatic lineage from every source table to every report column. REST API for Power BI, Tableau, and Qlik.
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Keep your pipelines running reliably without custom orchestration scripts.
- Load Orchestration
- Scheduling
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Enterprise-grade release management built into the platform — from development to production.
- Direct Deployments
- Git-flow based Versioning
- Generation of Deployment Scripts
- Generation of Rollback Scripts
- Deployment APIs
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Expose your data model and warehouse as an MCP server — ready for AI agents, copilots, and any tool that speaks the Model Context Protocol.
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Talk to your data model and your data in plain language. Ask questions, explore relationships, and get answers — directly from the platform, no SQL required.
Runs on your platform
What our customers say
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It's confidence of the (business) users [in the new data infrastructure and trustworthiness of data] where DVB stepped in. The documentation aspect of it is a massive bonus.
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Innovative product with excellent opportunity for future growth. The customer's agile approach is indispensable.
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Positive ROI in 9 months. Nightly data loads went from 6 hours to 18 minutes with seamless SAP integration.
Find out if Datavault Builder fits your team
Book a free 20-minute discovery call. Get honest answers — no sales pressure.
No commitment. 20 minutes. We'll tell you if it's a good fit.
Frequently Asked Questions
- Datavault Builder is a data warehouse automation platform built on the Data Vault 2.0 methodology. It automates the complete DWH lifecycle — from source integration and modelling to ETL/ELT code generation, deployment, and data lineage — replacing up to 9 separate tools with one platform.
- Snowflake, Databricks, Google BigQuery, Microsoft Fabric, Synapse Analytics, Oracle, SQL Server, PostgreSQL, and Exasol.
- Both. You can deploy on your own servers (on-premises), in a private cloud (AWS, Azure, GCP), or as a fully hosted SaaS. You can switch deployment models at any time on the same licence.
- Most teams go from first requirement to production within 14.7 minutes on average. Initial project setup typically takes days, not months — with 94% of projects succeeding within 6 months.