Turn data into business decisions with an automated data warehouse
Datavault Builder automates the entire data warehouse lifecycle — from ingestion to reporting — so your team delivers trusted data in days, not months.
- 400% Productivity increase
- 100% Traceability from source to report
- 100% Project Success
- 15 min Requirement to production
Trusted by data-driven teams across industries
What if you could integrate, govern, and deliver data in one streamlined platform?
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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.
Data warehouse teams trust Datavault Builder
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What impresses me most about the Datavault Builder is its end-to-end approach, which covers every step from modeling to deployment — and all with an intuitive interface that makes the learning curve surprisingly flat.
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Positive ROI in 9 months. Data loads went from 6 hours to 18 minutes.
Recognized for excellence in data warehousing automation
Frequently Asked Questions
- It means you define your data model visually, and Datavault Builder generates all the ETL/ELT code, deployment scripts, and documentation automatically — no manual coding required.
- Most teams are delivering data to production within 15 minutes on average. Full project setup typically succeeds within 6 months (100% project success rate).
- Yes. Datavault Builder integrates with Snowflake, Databricks, BigQuery, Microsoft Fabric, Oracle, SQL Server, PostgreSQL and more. It connects to any source system via pre-built connectors.
- We offer free discovery calls, live demos, and cloud-hosted demo environments — so you can see the platform before any commitment.
Book your free discovery call
Live demo. Honest answers on whether it’s the right fit for your team.
Matt Collett
Sales Director
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