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Datavault Builder

Datavault Builder automates data warehouse creation using a visual modeling interface, facilitating collaboration between business users and IT. The tool simplifies and accelerates the development of data warehouses by abstracting away complex coding tasks.

AurichFounded 2019132K+ followers
Updated 3 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Product

Problem

Developing and maintaining data warehouses often involves complex coding tasks and requires extensive collaboration between business users and IT professionals. Traditional methods can be time-consuming, costly, and lack the agility needed to adapt to changing business requirements.

Solution

Datavault Builder provides a model-driven data warehouse automation solution that simplifies and accelerates the development, deployment, and operation of data warehouses. The platform offers a visual modeling interface that enables business users to actively participate in the design process, fostering collaboration with IT. By abstracting away complex coding, Datavault Builder reduces complexity, lowers risk, and decreases the total cost of ownership. The tool automates the full data integration lifecycle, including data historization, harmonization, documentation, and governance.

Target Audience

The primary audience includes data engineers, data architects, business intelligence professionals, and IT teams seeking to streamline data warehouse development, improve collaboration, and accelerate time-to-insights.

Features

  • Visual modeling environment for designing data warehouses without extensive coding
  • Real-time code generation and model translation for agile development
  • Support for Data Vault, Business Vault, Dimensional Model, and 3rd Normal Form (3NF) modeling techniques
  • Automated ETL staging and ingestion processes
  • Data profiling and data lineage tracking
  • Automated documentation generation and regression testing
  • Deployment automation and CI/CD integration
  • Support for on-premises, private cloud, and hosted deployment models
  • Integration with various target platforms, including Snowflake, Microsoft Synapse Analytics/Fabric, Microsoft Azure SQL, Oracle, Exasol, Postgres, Google BigQuery, and Databricks
  • Integration with SAP systems using Theobald connector
  • Multi-tenant capabilities for independent data domain teams
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