Decisions are slowed by conflicting numbers
Sales says 12,400. Finance says 11,800. Nobody knows who is right. Same customer, three systems, three names.
AI-ready MDM in your warehouse · Azure Marketplace
Install from Azure Marketplace, point at your warehouse, and go live. Works with Microsoft Fabric / Azure SQL and also PostgreSQL, Oracle, and MySQL. Entra ID sign-in, approvals, audit trail, REST API, and YAML-first entity modeling are available out of the box. Built for teams that need speed, simplicity, and measurable business value while staying fully AI-ready. No consultants. No multi-month rollout. Your data stays in your infrastructure.
Sales says 12,400. Finance says 11,800. Nobody knows who is right. Same customer, three systems, three names.
15 shared files, no audit trail, anyone can overwrite anything. Auditor asks "Who changed this?" — silence.
Long projects, heavy implementation, slow adoption. You need a platform that delivers business value in weeks, not quarters.
From zero to governed source-of-truth data in your warehouse, with minimal effort from business and IT teams.
Describe the entity (customer, product, supplier) and its validation rules in YAML — or let AI generate it from a text description.
One click creates the physical table in your Fabric Warehouse or Azure SQL. Preview schema changes before redeploy.
Your team enters and manages data via a clean web UI, bulk CSV/JSON import, or REST API.
Approval workflows for sensitive changes, role-based access control, complete audit trail of every change.
Power BI, ERP, CRM, and other systems read always up-to-date, validated data — directly from the warehouse or via API.
What changes when master data is finally managed.
| Before | After |
|---|---|
| Same customer in 5 systems, different data | One authoritative record for the entire company |
| Master data in spreadsheets on a shared drive | Governed environment with validations and history |
| Anyone changes anything without oversight | Approval workflow for sensitive changes |
| "Who changed this?" — nobody knows | Complete audit log of every change |
| IT deploys MDM for months | Setup in minutes, new entity in minutes |
| Data in someone else's cloud | Data in your Azure, under your control |
One change propagates everywhere. No more reconciling conflicting exports.
Always up-to-date dimensions — customers, products, regions — directly in SQL your analysts already query. No export, no middle steps.
Consistent names, codes, tax IDs, and addresses across every system. Change in one place = update everywhere.
Define team-specific views in YAML — finance sees different columns than logistics. Exposed as SQL views and via API.
Validation happens at the source — not when it is too late.
Problems are caught at the source, not in the report.
Professional+ approvals and history, plus Enterprise audit visibility for global governance.
Sensitive changes — bank account, credit limit, new supplier — only go live after approval by a responsible person. Batch approve or reject groups of changes at once.
Everyone sees and edits only what they should — by role, domain, and entity. Sign-in via Microsoft Entra ID, same identity as Microsoft 365.
Enterprise includes global audit log querying for compliance teams. Professional+ still provides controlled approvals and version history on entities.
No manual copying between systems.
When a new supplier is approved, an HTTP callback automatically notifies your ERP, CRM, or any downstream system. Optional URL security policy adds strict allowlists and blocking logs. Enterprise
External systems pull only what changed since the last read — incremental sync without full loads. Enterprise
Versioned /api/v1 with OpenAPI docs. Applications read reference data directly — JWT or cookie auth via Entra ID.
Direct connection to the warehouse. Approved data tables and consumption views are ready for DirectQuery — no export step.
No vendor lock-in. No data leaving your tenant. No new supplier to onboard.
Provision into your subscription in minutes. No separate contract, no vendor onboarding, no procurement headaches.
Entra ID sign-in, no "phone home" to external clouds. Your Azure admin runs everything — no external consultants needed.
License fees on your existing Azure invoice. Start in minutes, stop anytime — your data stays in your warehouse.
EntiHub is built so your operational scope is not artificially capped by how many warehouse tables you define or how many people log in. You scale by which capabilities you turn on — governance depth, integrations, automation.
| Capability | Small | Professional | Enterprise |
|---|---|---|---|
| Entity management, data, UI, API | |||
| Change approval workflow | |||
| Audit log | |||
| Entity analytics snapshot | |||
| History and versioning | |||
| Bulk import/export (CSV / JSON / XLSX) | |||
| Bulk update/delete (SQL filter & expression) | |||
| Time travel — as-of data, export, revert (with history) | |||
| Webhooks (system notifications) | |||
| Change log for integrations | |||
| Entity packages (multi-environment) |
Compare plans in detail to see how each stage maps to your roadmap.
Describe what you need in plain language, generate the entity, deploy quickly, and feed AI with trusted master data.
"I need a supplier register with tax ID, name, address, and certifications" — AI generates the YAML definition with columns, types, and validations. You review and deploy.
entihub CLI for CI/CD and agentsDefinitions in Git, pipeline validates and deploys. AI agents operate the full MDM lifecycle programmatically.
entihub entity create --from-yaml suppliers.yaml
entihub entity deploy suppliers
entihub data import suppliers --file seed.csv
Central register with approval workflows for bank accounts, onboarding, and contact changes.
Unified catalog — same name and code in e-shop, warehouse, ERP. Price list changes tracked with full audit trail.
Countries, currencies, units, cost centers, org structure — small tables with company-wide impact.
SAP codes ↔ Dynamics codes ↔ internal IDs — one mapping table to rule them all.
Supplier certifications, personal data classification, retention periods — with approval audit trail.
Always up-to-date customers, products, regions directly in SQL. No export step — DirectQuery ready.
Pick the path that matches your current priority.
Unify dimensions for Power BI and analytics without manual reconciliation across teams and source systems.
Push governed master data to ERP, CRM, and downstream services via webhooks, APIs, and package-based promotion.
Introduce approvals, audit trail, and role-based controls without moving data out of your Azure environment.
Ready when you are
We will show you a fast path to value: Azure Marketplace provisioning, first entity rollout, governance workflow, and how EntiHub prepares your data foundation for AI.