The infor m3 cloud archive product. Parquet on object storage with hot/warm/cold tiering, SQL endpoints (Presto/Trino/Snowflake/Athena), purpose-built historical-reporting UI, KMS-signed evidence. SAF-T and HGB-ready. 70–85% cheaper than read-only BE.
Not a generic data lake. Not a backup repository. A purpose-built M3-shaped archival product that satisfies SAF-T, HGB, Part 11 and SOX while running at 15–25% of read-only BE cost.
An infor m3 cloud archive is architecturally simple — Parquet files on cloud object storage, partitioned by CONO/DIVI/fiscal-year, fronted by SQL endpoints — but the value is in the M3-shaped product layer on top: pre-built schema preservation that keeps the MMS/CMS/CRS/OOL/MMO/MITMAS prefix families intact, pre-built voucher-chain preservation so GL lines trace back through AP/AR subledgers to source documents and attachments, pre-built SAF-T/HGB regeneration tooling so country statutory exports work on day one, pre-built recall-traceability patterns so quality and operations queries return the same lot genealogy they got from live BE.
The economic case is clean. Read-only M3 BE on standby commonly costs $200K–$600K annually (licence + DB licence + infra + DBA + ION + patching). Equivalent infor m3 cloud archive runs $20K–$80K annually depending on data volume and tier mix. Year-one savings typically fund the archive build with margin to spare; year-two-onward savings drop straight to the operating budget.
And the strategic case is the patch-cycle exit. Read-only BE still needs Infor patches, OS patches, DB patches, dependency patches — eventually vendor sunset forces the move anyway. The infor m3 cloud archive front-runs that forced move, exits the patch treadmill cleanly, and locks in regulatory retention to the full 10-year HGB horizon without further BE involvement.
What separates a real M3 archive product from rolling your own.
MMS/CMS/CRS/OOL/MMO/MITMAS prefix families preserved with original column names. Multi-CONO/DIVI partitioning native. Existing M3-aware SQL just works.
GL postings link to AP/AR subledger entries link to source documents link to attached document images — chain end-to-end queryable for SAF-T and HGB.
Recall traceability queries (sold-finished-good → manufacturing consumption → raw-material lot) work against archive with full MITLOC genealogy. FDA Part 11 grade.
EU country SAF-T schemas (PT/NO/LU/FR FEC, Italian Esterometro) plus German HGB and GoBD regenerable from archive — byte-fidelity, schema-validated.
Hot/warm/cold tier transitions automatic per retention policy. Consumer queries route across tiers transparently. 70–85% cost reduction vs hot-only.
Every partition signed, every read logged, every export carries audit-grade evidence trail. SOC 2-compliant. Big 4 firms accept on first review.
Typical project: 8–12 weeks from kickoff to BE-ready-for-decommissioning. Then ongoing managed-archive operation.
Define per-entity retention per CONO per document type per fiscal year. Align with SAF-T/HGB/Part 11/SOX obligations and business hot-access patterns. Output: retention policy doc with consumer-stakeholder sign-off.
Select object storage (S3/GCS/Azure), tier mix policy, query engine (Presto/Trino/Snowflake/Athena), KMS configuration for signing keys, historical-reporting UI deployment topology, RBAC and isolation model.
Full historical extract from M3 BE via Syntra extractor, transformed to Parquet, written to object storage with KMS-signed partition manifests. Multi-CONO, multi-FY, parallel-jobbed at 8–16 workers.
Per-CONO per-FY reconciliation: M3 row counts vs archive, M3 trial balance vs archive trial balance, M3 lot inventory vs archive, SAF-T regeneration vs M3-side SAF-T pull. Signed reconciliation pack for sign-off.
Finance, audit, tax, quality, operations cut to archive for historical queries. SAF-T/HGB nightly runs cut to archive. Live BE moves to standby (or directly to decommissioning per the customer's risk posture).
Managed archive service: monitoring, tier transitions, retention enforcement, signed-evidence integrity verification, consumer-side support, annual SOC 2 audit. BE decommissioning sequenced for the next licence-renewal cycle.
The archive plays well with existing analytics and data-platform investments.
Archive Parquet exposed as Snowflake external tables for unified queries with existing warehouse data. Federated joins between archived M3 and live Fusion analytics.
Archive readable from Databricks via Auto Loader or direct Parquet read. Unity Catalog governance integrates Syntra-managed archive into the customer's lakehouse.
GCP customers query archive via BigQuery Omni external tables, with native BQ SQL syntax. Multi-region cost optimisation via Omni's cross-cloud federation.
Customers running their own Trino cluster federate archive directly — no vendor middleware. Standard ANSI SQL, Hive metastore integration.
Standard BI tools connect via SQL endpoint, query archive for finance/audit/tax dashboards. RBAC enforced through query-engine layer.
Data scientists query archive via PyArrow, pandas, dbt, R — Parquet is the lingua franca of modern analytics. M3 historical analytics workflows shift from BE-locked to cloud-native.
Infor m3 cloud archive is Syntra ETL's purpose-built archival product for retiring Infor M3 BE while keeping every record queryable for regulatory, finance, tax and recall purposes. Architecturally it is M3 data extracted as Parquet, stored on cloud object storage (S3, GCS or Azure Blob) with tiered hot/warm/cold storage management, fronted by SQL endpoints (Presto/Trino, Snowflake external tables, Athena) and a purpose-built historical-reporting UI. KMS-signed evidence packs satisfy SOX, SAF-T, HGB and FDA 21 CFR Part 11 audit requirements. The product replaces the live M3 BE for all historical access while supporting full BE decommissioning and the licence/infra/DBA cost savings that follow.
Cost, scalability and operational risk. Keeping M3 BE running read-only still incurs full Infor licence (BE plus any vertical modules), Oracle or SQL Server database licence, infrastructure cost (typically a 16–32 vCPU server with TB-scale storage), DBA labour, ION subscription if any integration touchpoints remain, and ongoing vendor patch-cycle commitment. A multi-TB M3 BE in read-only mode commonly costs $200K–$600K annually. The infor m3 cloud archive runs at $20K–$80K annually for equivalent data volumes (driven by object-storage tier mix), and the read-only BE doesn't get patched indefinitely — vendor sunset eventually forces the move anyway. Cloud archive front-runs that forced move.
Three tiers, transparent to the consumer. Hot tier (S3 Standard / GCS Standard / Azure Hot): records younger than 2 years, accessed frequently, sub-second query latency. Warm tier (S3 IA / GCS Nearline / Azure Cool): records 2–5 years old, accessed periodically, 5–30 second query latency. Cold tier (S3 Glacier Instant / Azure Archive): records older than 5 years, accessed rarely, minute-to-hour latency tolerable for the use cases (legal hold, deep audit). The Syntra historical-reporting query engine automatically routes queries across tiers, prefetching warm-tier reads when predictable. Total cost is typically 70–85% lower than equivalent hot-only storage.
Everything in scope from infor m3 data archival policy. Finance: GL postings (FGL), AP/AR closed (FAP/APS, FSL/ARS), fixed assets (FAS), inter-company. Operational: closed sales orders (OOH), closed POs (MPL), closed manufacturing orders (MMO), closed inventory transactions (MITTRA). Master: item master (MITMAS) snapshots at end-of-FY, customer (OCUSMA), vendor (CIDMAS). Traceability: lot/serial (MITLOC) for closed lots, batch genealogy, quality records. Attachments: vendor invoice scans, batch records, quality certificates, order ack documents. Configuration: COA (CRS630), exchange rates (CRS055), policy and audit-rule configuration as of cutover. All multi-CONO, multi-DIVI tagged.
Yes. The archive exposes Presto/Trino, Snowflake external tables and Athena endpoints — meaning any SQL client (DataGrip, DBeaver, Mode, Hex, Sigma, Tableau, Power BI, the customer's own BI stack) can query archived M3 data with standard SQL syntax. Schema introspection works through any of those engines. The Syntra-provided historical-reporting UI is convenience on top — power users typically use direct SQL. Customers integrating the archive into a broader data-lake architecture (Snowflake, Databricks, BigQuery) federate the archive as external tables and blend with their own warehouse data for unified analytics.
Generic data lakes are storage and compute primitives — useful, but not opinionated about M3's particular shape. The infor m3 cloud archive is the M3-shaped product layer on top: pre-built schema preservation (MMS/CMS/CRS/OOL/MMO/MITMAS prefix families intact), pre-built voucher-chain preservation (GL → AP/AR → document → attachment), pre-built SAF-T/HGB regeneration tooling, pre-built recall-traceability query patterns, pre-built historical-reporting UI tuned to finance/audit/tax/quality workflows, pre-built KMS-signed evidence packs sized to SOX/SAF-T/HGB/Part 11 audit. You could build it from primitives — but the build cost typically exceeds 18 months of licence/operational savings.
First-class. M3 attachments (vendor invoice scans, customer order ack docs, batch records, quality certificates) are extracted via the M3 document-management interface or directly from the BE attachment store, content-hashed for tamper-evidence, stored in object storage with the original M3 attachment-ID preserved as the key, and bound to the archived transactional record via the cross-reference. A 7-year-old AP invoice in the cloud archive links directly to its original scanned invoice image via the same M3 attachment-ID. Finance reconstruct exactly as in live BE; tax-audit response identical to BE response. Attachments inherit the same tiered storage policy as their parent transactions.
Yes. The cloud archive is partitioned per CONO and DIVI at the storage layer, with RBAC isolating per-entity access. Multi-tenant deployments (consolidated holding-company environments where multiple operating entities share an M3 BE) get clean per-entity archives that satisfy local statutory and audit requirements without bleed. Cross-entity queries (consolidated trial balance, group-level recall trace) are supported via the federation layer with appropriate permissions. KMS keys can be per-entity if a finance entity requires sovereign key custody — this is common in regulated EU subsidiaries with local data-protection officer mandates.
30-minute call. We'll review your M3 BE footprint, retention obligations, cloud-platform preference and downstream-analytics integration — and propose a concrete infor m3 cloud archive architecture with cost model.