Is your data ready for thuva Analytics and AI?
Build a trusted, governed data foundation for confident decisions and faster delivery. Datavault Builder brings standardization, automation, and business-IT alignment to modern data warehouse delivery.
- 100% Designed for data quality
- 15 min From requirement to production
- 100% Project Success
- 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 modeling 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. Test and validate your data in error marts and feed it back to your Data Steward.
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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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Every model, pipeline, and transformation is documented automatically — always up to date, always in sync with your actual data warehouse.
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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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The most valuable feature of Datavault Builder is its ability to accelerate the development of full DWH applications.
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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 demo. Get honest answers — no sales pressure.
No commitment. We'll tell you if it's a good fit.
Recognized by BARC — Data Management Survey 25
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 modeling 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 license.
- Most teams go from first requirement to production within 15 minutes on average. Initial project setup typically takes days, not months — with a 100% project success rate.