A CDM-based data platform toolchain
Igloo turns one versioned model — built on Microsoft's Common Data Model language — into a working data platform: validation, connectors, deployment, and a data space you can share with partners. No separate wiki that drifts from what the database actually enforces.
Deploy anywhere — Kubernetes, on-prem, local dev, any cloud, or hosted by us. Starts from your existing finance or building CDM.
// each layer overrides what's below it — without forking, without renaming
Every data org runs on two artifacts that drift apart the day they're born — and every report, pipeline, and AI agent re-derives its own guess at the gap.
Enforces structure. Executes. Says nothing about what the data means, or why a field exists.
Lives in the wiki, the glossary, tribal knowledge. Says everything. Executes nowhere.
Igloo works across three stages, whether you're starting from a spreadsheet, an existing database, or a blank model.
Build a data platform from your existing finance or building CDM — or reverse-engineer one from a database nobody ever modeled.
The model compiles into validation plans, generated code, and test data automatically — no hand-written checks to keep in sync.
Expose the platform as a data space to partners, banks, or regulators — with the same rules enforced on their side as yours.
Kubernetes, on-premise, local dev, any cloud — or we host it for you. The platform is a deterministic, versioned artifact you can diff, blue/green-deploy, and roll back like code.
A twelve-metric taxonomy — type, format, uniqueness, referential integrity, completeness, and more — generated straight from the model, never hand-written and never drifting from it.
Keep your team working in the spreadsheets they already use. Igloo shapes that data into the model's own compliant format — plus connectors beyond Excel as your sources grow.
Layer your own decisions on top of an industry model without forking it. Every proposed change is checked against your policy — no breaking change reaches production unnoticed.
We'd rather tell you exactly what's real than sell you a roadmap. Here's the honest split.
Full CDM language support, conformance-tested against Microsoft's own corpus, with a layering engine for identity, resolution, squash, and materialize.
Twelve-metric validation, generated test corpora that load into a real database under full constraints, and a compiled quality plan you can embed.
Turn a database dump into a model, or a model back into deployable DDL — closing the schema-to-data loop end to end.
The diagramming workbench for hand-authoring models. Core navigation and rendering ship today; the full editing surface is still being built.
Typed DTOs and validators generated from the same model definitions that drive quality checks today.
Point at a broken or partial model and get a scoped, explained path to a valid one.