7 steps to faster data warehouse automation

#1 Data Vault automation platform

Delivering unparalleled automation of upfront data warehouse design and development. Fully compliant with Data Vault 2.0.

See how we do it
  • 1. Harvesting metadata

    Your data is everywhere. Our tool captures metadata from each of your sources to get a comprehensive, company-wide data view. To speed up the process, you can filter objects and attributes.

  • 2. Tech stack parametrization

    Integrating data can be tricky. Luckily, our built-in templates provide integration logic for every possible combination of source, target, CDC and ETL technologies. All you have to do is specify settings.

  • 3. Business model mapping

    Don’t build your data model from scratch. VaultSpeed offers a consolidated Data Vault model based on the metadata we collect from your sources. You can modify that model to better match your business needs.

  • 4. ETL & DDL code generation

    Just push the button and grab a coffee during automatic reusable DDL and ETL code generation. The code dictates how the Data Vault model must be built and provides data loading instructions.

  • 5. Pipeline deployment

    Our tool connects with your ETL tool & DWH platform and sends instructions to build the pipelines and create a Data Vault model that reflects and suits your business.

  • 6. Orchestrated data loading

    VaultSpeed connects with your Airflow, Matillion or Azure Data Factory scheduler to start loading source data in the data warehouse, making it analysis-ready on the spot.

  • 7. Continuous automation

    When sources are added or technologies get upgraded, you just have to adapt parameters and incorporate the changes in your existing model. No need to start anew.

Hybrid cloud security

Your data, applications, and infrastructure are protected.


Tech stack integration

VaultSpeed fits with your sources & other tools. No need to replace.


Graphical interface

Navigate complexity with ease. You can't go wrong.

Data modeling

Ready to start?

Deploy your data warehouse faster, without the stress.