Purpose-built infor baan data extraction tool — database extractor (Oracle/Informix/MS-SQL beneath BaaN), session-catalog mining for 4GL customizations, BSE archive reader for binary attachments. Covers all 3,500+ tables across Finance, Distribution, Manufacturing, Warehousing and Project. Read-only, throttled, audit-logged.
Building your own BaaN extractor looks tractable in week one. By month three you're still debugging packed-decimal decoding, composite-key joins, multi-company logical segregation and database-adapter quirks per back-end.
Infor BaaN IV and BaaN V — the predecessors to Infor LN — run on a data model that reflects 25+ years of evolution. 3,500+ tables. Cryptic prefixed names (tfgld100, tdsls400, tcorda010, tcibd001). Composite natural keys that aren't enforced as primary keys in the DDL. Packed-decimal numeric encoding that needs careful normalization. The t_fcom / t_lcom logical-company segregation that means a single conceptual table appears 8 times across 8 financial companies in some installations. Multi-byte collation for EU and ME deployments. And three database back-ends (Oracle, Informix, MS-SQL) with subtle SQL dialect differences.
A purpose-built infor baan data extraction tool collapses six months of bespoke development to a single configuration step. Syntra ETL's extractor ships read-only stored procedures and table-aware extract scripts for every BaaN table that matters, session-catalog metadata mining for customization inventory, BSE archive filesystem readers for binary attachments, and CDC + Exchange Scheme subscription handlers for incremental capture. The extractor is read-only by design (no schema changes, no writes), runs throttled against read-replicas where available, and every extract produces a hash-signed manifest for downstream reconciliation.
The extracted data is uniformly staged as Parquet in cloud object storage, partitioned by financial company and fiscal year, with original BSE attachments preserved in their binary form. From that staging layer, downstream consumers — Fusion migration loads, long-term BaaN cloud archive, analytics warehouse, compliance reporting — all read from the same governed extract. No double-extraction, no double-reconciliation.
Eight pre-built capabilities that turn six months of bespoke BaaN development into a single configuration step.
All 3,500+ BaaN tables pre-mapped with natural keys, foreign-key relationships, packed-decimal field conventions, business-domain classification. Custom tables auto-scanned and added.
Database CDC (Oracle LogMiner, MS-SQL CDC, Informix logging) drives incremental extracts at row level. Full-load mode for initial migration baseline. Exchange Scheme subscription for real-time CDC.
Oracle OCI, Informix DSDK, ODBC for MS-SQL. SQL dialect differences abstracted. Identical Parquet output regardless of back-end so downstream loads don't care.
Read-only NFS/SMB mount of BaaN BSE archive directory. Retrieves binary attachments with original BSE reference preserved. Routes to Fusion UCM or long-term cloud archive.
ttadv/ttdlu session metadata, 4GL source export, Application Studio extension inventory. Feeds the AMX/OIC/Visual Builder rebuild plan without manual screenshots from the dev team.
Uniform Parquet staging in cloud object storage. Partitioned by financial company (t_fcom) + fiscal year. Hash-signed manifests per partition for downstream reconciliation.
No schema changes, no writes. Runs against read-replica when available. Throttled to respect tenant limits. Full HGB / ITAR-grade access log for every extract operation.
Extracts from every t_fcom in parallel, dedupes overlapping records, harmonizes overlapping codes — preparing the data for unified Fusion BU/ledger architecture in one pass.
From first connection to ongoing incremental feed. A repeatable workflow that fits inside the broader BaaN-to-Fusion migration or BaaN cloud-archive programme.
Connect to BaaN database (read-only credentials), enumerate t_fcom companies, count tables and rows per module, scan BSE archive for attachment volume, inventory ttadv session catalog for customization count. Output: sized assessment with extract-volume estimates.
Configure database adapters (Oracle / Informix / MS-SQL), BSE archive filesystem mount, session catalog access path. Validate read-only stance with DBA. Set throttling parameters per back-end load profile.
Full-load extract of all in-scope tables to Parquet staging in cloud object storage. Partitioned by t_fcom and fiscal year. Hash-signed manifests per partition. BSE attachments staged with original references preserved.
Row counts vs BaaN per t_fcom per period. Sum reconciliation for GL (tfgld debit/credit), AP open (tfacp), AR open (tfacr), inventory perpetual (whinp). Hash signatures cross-checked. Variance investigation per anomaly.
Database CDC enabled (Oracle LogMiner / MS-SQL CDC / Informix logging). Exchange Scheme subscriptions configured. Daily / hourly incremental extracts begin. Reconciliation continues at incremental level.
Extract pipeline running steady-state. Operators trained on monitoring dashboards. Runbook documented. Ready for downstream consumption by Fusion migration loads, long-term archive, analytics warehouse, or compliance reporting.
The same infor baan data extraction tool feeds every downstream use case from one governed extract. No double-pulls, no double-reconciliation, no parallel pipelines.
Stage extracted BaaN data, run crosswalks, emit FBDI/HDL payloads, load to Fusion ESS, reconcile to the cent per legal entity. The primary use case driving most BaaN deployments today.
Park 25+ years of BaaN history in tiered cloud object storage with queryable Parquet + searchable BSE attachments. Satisfies HGB 10-year, SOX 7-year, ITAR/DFARS retention without keeping BaaN infrastructure running.
Stream BaaN data into Snowflake, BigQuery, Databricks or Synapse for analytical use — without the licensing burden of BaaN's reporting tools and without impacting production BaaN performance.
Generate HGB statutory filings, SOX evidence packs, ITAR/DFARS export-control reports, IFRS consolidation outputs — all from a single governed extract with hash-signed lineage.
During the BaaN-to-Fusion parallel-run window, the extractor captures BaaN deltas and replays into Fusion via REST API — keeping the two systems aligned to the cent through cutover.
Final hash-signed extract before BaaN is shut down — auditor-grade evidence that the historical data is complete, queryable, and accessible for the full retention period after decommissioning.
An infor baan data extraction tool is a purpose-built platform for reading data out of Infor BaaN IV / BaaN V — and landing it in a staging layer (cloud object storage, data warehouse, or Fusion-ready format) for migration, archival, analytics or compliance reporting. Syntra ETL's infor baan data extraction tool ships pre-built connectors for three layers: direct database extraction (Oracle, Informix or MS-SQL beneath BaaN), BaaN session-catalog metadata mining (ttadv / ttdlu) for customization inventory, and BaaN BSE archive filesystem reads for binary attachments. It handles all 3,500+ BaaN tables across Finance, Distribution, Manufacturing, Warehousing, Project and Service, with BaaN's distinctive packed-decimal field encoding and t_fcom / t_lcom logical-company segregation respected throughout.
You can — but you'll spend 4–6 months building a robust extractor. The complications: BaaN has 3,500+ tables with cryptic prefixed names (tfgld100, tdsls400, tcorda010); natural keys are composite and non-obvious (Financial Company + Transaction Type + Document + Line for transactional); packed-decimal numeric encoding has to be decoded carefully; the BaaN session catalog (ttadv/ttdlu) carries the customization metadata you need for the rebuild plan but lives in its own table family; multi-byte EU/ME character collation differs between Oracle and MS-SQL back-ends; BaaN release variant (IV vs IVc4 vs V) changes table structures. Syntra ETL's infor baan data extraction tool handles all of that on day one with read-only stored procedures and table-aware extract scripts refined across dozens of BaaN implementations.
All 3,500+ BaaN tables across the full footprint. Finance: tfgld (GL postings), tfgld100/200/300 (GL history), tfacp (AP open items), tfacr (AR open items), tffam (Fixed Assets), tcmcs (multi-currency), tcprp (parameters). Distribution: tdsls (sales orders), tdpur (purchase orders), tcorda (customer/supplier order base), tcibd (item master), tccom (business partner master). Manufacturing: tisfc (shop floor), timfc (MRP), tibom (BOM), tirou (routings), tiwcr (work centres), tipcs (production orders). Warehousing: twhinr (warehouses), whinp/whwmd (inventory/locations). Project: tppdm (project master), tpdmd (project deliverables). Service: tssoc (service orders). Plus BaaN-specific scaffolding: session catalog (ttadv/ttdlu), exchange schemes (tcecs), application studio metadata. Custom tables added by your implementation are scanned automatically and added to the catalog.
BaaN Exchange Schemes are the integration backbone of BaaN IV/V — they carry EDI partner flows, third-party system integrations (banking systems, customs filings, freight forwarders), and inter-company data exchanges. A typical BaaN site has 50–200 active Exchange Schemes. The Syntra ETL infor baan data extraction tool catalogs every active Exchange Scheme via the tcecs table family, documents the source/target system, message structure, volume and last-run status, then exports for OIC-equivalent rebuild planning. This is the cleanest way to inventory the integration backlog ahead of the migration, and also serves as a continuing audit trail for SOX/HGB reconstruction of who-sent-what-when across systems.
Yes. BaaN IV originally ran on Informix; BaaN IVc4 added Oracle support; BaaN V added MS-SQL alongside Oracle. Many sites still run on Informix today and the migration to a more current DB is itself a project they want to avoid. The Syntra infor baan data extraction tool ships database-adapter layers for all three: Oracle (using the standard OCI driver against the BaaN tablespace), Informix (using the IBM Informix DSDK for native dbaccess connectivity), and MS-SQL (using ODBC against the BaaN schema). The extraction logic and Parquet staging output are identical regardless of back-end; the adapter layer handles the SQL dialect differences and the packed-decimal decoding rules per database type.
BaaN BSE (BaaN Software Environment) maintains a filesystem-level archive directory for binary attachments — drawings (DWG, PDF), contracts, vendor specifications, customer purchase orders, customs documents, MRP attachments, photographs of inventory. The Syntra infor baan data extraction tool reads the BSE archive via filesystem mount (read-only NFS / SMB share with appropriate credentials), catalogs every attachment with its original BSE reference (typically a constructed path like /bse/archive/
BaaN 4GL is Infor's session-language for BaaN extensions — every customer carries 200–800 customizations: custom approval sessions, custom GL posting hooks, custom pricing waterfalls, vendor-specific EDI mappings, custom report formats. Application Studio (the modern BaaN development environment) layers on top with more customizations. The infor baan data extraction tool inventories every active session via the ttadv / ttdlu session catalog, exports the 4GL source with trigger context, classifies by business purpose, and feeds the analysis into the Fusion migration plan: Approvals Management (AMX) for approval logic, OIC orchestrations for integration logic, BI Publisher for custom reports, Visual Builder for custom screens, PaaS extensions for deep logic. The 4GL source is preserved as reference for the rebuild team.
Yes. The extractor supports two incremental modes: (1) database-level CDC via Oracle LogMiner / MS-SQL CDC / Informix logging — captures every row change with full before/after image, suitable for analytical sync and migration delta capture; (2) BaaN Exchange Scheme subscription — transactional events captured as Exchange Scheme messages, suitable for inter-system delta sync. Most customers use CDC mode during the migration's parallel-run window (capturing BaaN deltas and replaying into Fusion via REST API), and a subset continue running the extractor post-cutover to feed a long-term BaaN cloud archive for SOX / HGB 10-year / IFRS / ITAR retention compliance. The 2030 Infor sustaining-end deadline does not eliminate the retention obligation — archive is mandatory.
Book a 30-minute discovery call. We'll walk through your BaaN release variant, database back-end, multi-company footprint, BSE archive scope and 4GL customization profile — and give you a concrete extraction plan with throughput estimates before the call ends.