Tag sensitive and critical data elements, surface PII directly on the model graph, generate audit-ready reports — without leaving the design view.
ADL activates your design metadata.
Capture your data design once.
Generate the code, documentation, deployment scripts, and governance that flow from it.
If it's text-based, ADL can generate it.
Your design, at work
Most teams have a design somewhere — in diagrams, modeling tools, slide decks, or someone's head. ADL captures that design as structured metadata in your own repo, then turns the same design into whatever your team needs: code, documentation, compliance views, deployment scripts, tests. One design, many activations — for engineers, modelers, architects, and business stakeholders alike.
What do teams use ADL for?
Four common configurations that ship today. Each is a real perspective on the same metadata — pick whichever matches your problem. Click any tile for the full picture.
Generate Data Vault, Persistent Staging, and dimensional code from one captured design — for Snowflake, SQL Server, Microsoft Fabric, or anything else templates can target.
Capability maps, domain models, conceptual architectures. ADL works above the SQL layer too — model the business, not just the data.
Test fixtures, deployment scripts, API configurations, documentation, custom report formats. If it's text-based, ADL can generate it.
Why consider ADL?
Four things that make ADL different from other tools that promise similar things. Click any tile for the full picture.
Open JSON metadata and Handlebars templates in your own repo. Portable, inspectable, under your control.
SQL Server, Snowflake, PostgreSQL, Microsoft Fabric, and more. Connect to any platform; generate output tailored to each.
Metadata and templates live as files in your repo, not a vendor database you have to log into. Use your normal branching, code review, and CI/CD — nothing changes about how your team works.
Classifications, personas, templates, and outputs are all yours to define. ADL ships starter configurations as a head start — the framework underneath stays yours to shape.
The quickest path is to install a starter solution from the Marketplace, run the generator, and see real output land in your repository within minutes.