Is your data ready for Analytics and AI?

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.

• Data Modeling

  Visual, model-driven design from concept to production-ready code.

  • Conceptual Data Modeling
  • Logical Data Modeling
  • Model Versioning

• Data Ingestion

  Batch, delta, CDC and near real-time loads from any source — JDBC, files, NoSQL, streaming, or Python class.

• Data Integration

  Integrate data from multiple source systems into a unified Data Vault model with automated hub and link management.

• Data Harmonization

  Align inconsistent structures, naming conventions, and business keys across source systems without manual SQL.

• Data Cleansing

  Apply business rules, filter invalid records, and standardise values in the Business Vault layer — virtual or materialised.

• Data Delivery for Analytics

  Generate output layers automatically from the same model — no rework, no duplicate pipelines.

  • Dimensional Models (Star Schema)
  • 3NF Models
  • Data Products
  • Flat Tables

• Data Delivery for AI

  Prepare structured, context-enriched data for machine learning and AI pipelines.

  • Context-enriched Data

• Data Quality

  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.

• Data Governance

  Manage the metadata that keeps your data warehouse trustworthy and compliant.

  • Data Ownership
  • Data Domains
  • Retention Periods

• Data Lineage

  100% automatic lineage from every source table to every report column. REST API for Power BI, Tableau, and Qlik.

• Operations

  Keep your pipelines running reliably without custom orchestration scripts.

  • Load Orchestration
  • Scheduling

• CI / CD

  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

• MCP Server

  Expose your data model and warehouse as an MCP server — ready for AI agents, copilots, and any tool that speaks the Model Context Protocol.

• Automated Documentation

  Every model, pipeline, and transformation is documented automatically — always up to date, always in sync with your actual data warehouse.

• AI Data Modeling Agent

  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.