Skip to content
M3 Reference

Infor M3 Reference Database

A searchable reference for Infor M3 tables, programs, fields, and relationships. Built for supply chain and analytics practitioners landing M3 data into Databricks from the Infor Data Lake, with a quirks guide for what a first extract gets wrong.

Free & ungated · Last verified September 2026

33
Tables
36
Programs
9
Modules
11
Quirks

How this is scoped

  • Scope: the supply-chain core through to the finance ledgers it posts into — items, inventory, customer orders, deliveries, purchasing, manufacturing, planning, and finance — plus the generic code-table foundation every module points back to. The catalog spans 33 tables and 36 programs today and is still growing; it leads with the objects an analyst reaches for most, not a full metadata dump.
  • Two program kinds: M3 exposes the same data through interactive programs (how functional users name features — MMS001, OIS100) and MI API programs (how integrators reach it — MMS200MI). This reference documents both on one axis, cross-linked, alongside the tables they read and write.
  • Verification: field names, keys, and structural facts are curated against Infor documentation; status-ladder values ship only when verified, and every description is original wording. Last verified September 2026.
  • Built for analytics: relationships focus on the joins you’ll actually write — header/line pairs, shared-alias foreign keys, the CONO equality every cross-table join needs, and the CSYTAB decode hop that trips up every first code lookup.

Frequently Referenced Tables

The workhorses of M3 supply-chain analytics — the item master, warehouse and location balances, the stock ledger, and the customer- and purchase-order pairs.

The M3 quirks guide

The encoding and modeling traps that make a first M3 extract wrong in ways that look right. Each links to a worked Databricks SQL pattern.

Read all 11 quirks
  1. Column prefixes & aliases
  2. CONO (company partitioning)
  3. DIVI / FACI / WHLO hierarchy
  4. Numeric YYYYMMDD dates

Getting M3 into your lakehouse

Multi-tenant CloudSuite M3 has no direct database access. The extraction guide covers the supported path — the Infor Data Lake and its Compass SQL platform — the variation metadata landed objects carry, incremental MERGE patterns, and when to land raw tables vs call MI APIs.

Read the extraction guide

Browse by Module

Organized by functional area. Click a module to see its tables and programs.

Sources & further reading

Table structure, program names, and extraction behavior are authoritative only at source. Use these references to verify before building on any claim in this reference.

Show all 26 sources, graded by group
Infor official
Third-party / partner

Maintained by Summit Analytics, a supply chain analytics practice. The tools and references are free — the consulting is selective.

Part of the Summit Analytics reference library.

Work with the practice

Not affiliated with or endorsed by Infor. Infor, Infor M3, and Infor CloudSuite are trademarks of Infor and/or its affiliates.