Purpose-built infor baan etl connector covering all 3,500+ BaaN tables across Finance, Distribution, Manufacturing, Warehousing, Project and Service. Oracle/Informix/MS-SQL adapters, BSE archive reader, 4GL session-catalog mining, CDC for incremental capture. Output to Fusion FBDI/HDL, Snowflake/BigQuery/Databricks, long-term archive — from one governed extract.
Building your own BaaN ETL is a 6–9 month project. The Syntra ETL infor baan etl connector collapses that to a single configuration step — refined across BaaN engagements in European manufacturing, Middle East industrial, and global aerospace/defence.
Infor BaaN IV and BaaN V — the predecessors to Infor LN — present a data model that reflects 25+ years of evolution. 3,500+ tables. Cryptic prefixed names (tfgld100, tdsls400, tcorda010, tcibd001, tibom001, tisfc100). Composite natural keys involving financial company + transaction type + document + line. Packed-decimal numeric encoding with implicit decimal-place rules in the column dictionary. The t_fcom / t_lcom logical-company segregation. Multi-byte EU/ME character collation that differs between back-ends. Three database back-ends (Oracle, Informix, MS-SQL) with subtle SQL dialect differences.
Add to that: the BaaN BSE (BaaN Software Environment) archive directory holding binary attachments outside the database; the ttadv/ttdlu session catalog holding metadata for every BaaN 4GL session and every customization; the tcecs Exchange Scheme catalog holding the integration backbone; the tcprp parameter table that defines runtime behaviour; the BaaN release variant detection (IV/IVc4/V table structures differ). A DIY ETL effort builds and tests all of that ground up.
A purpose-built infor baan etl connector ships all of it pre-built. The Syntra ETL connector handles every layer — database extraction across all three back-ends with packed-decimal decoding, session-catalog mining for customization inventory, BSE archive filesystem reads for binary attachments, CDC + Exchange Scheme subscription for incremental capture. Output is uniform Parquet in cloud object storage, partitioned by t_fcom + fiscal year, hash-signed per partition. Downstream consumers — Fusion FBDI/HDL loads, Snowflake/BigQuery/Databricks/Synapse marts, long-term archive — all read from the same governed extract. No double-pulls, no double-reconciliation, no parallel pipelines.
Eight pre-built capabilities that turn six months of bespoke BaaN ETL 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 on connection.
Database CDC (Oracle LogMiner, MS-SQL CDC, Informix logging) for row-level deltas. Full-load mode for initial migration baseline. Exchange Scheme subscription for high-fidelity transactional capture.
Oracle OCI, Informix DSDK, ODBC for MS-SQL. SQL dialect abstracted. Identical Parquet output regardless of back-end so downstream consumers don't care.
Read-only NFS/SMB mount of BaaN BSE archive directory. Retrieves binary attachments with original BSE reference preserved. SHA-256 hash for integrity. Routes to Fusion UCM or long-term cloud archive.
ttadv/ttdlu session metadata, 4GL source export, Application Studio extension inventory, Exchange Scheme catalog. Feeds Fusion rebuild plan or long-term archive of business-logic source.
Parquet staging in cloud object storage. Partitioned by t_fcom (financial company) + fiscal year. Hash-signed manifests per partition for downstream reconciliation. Multi-tier object storage for cost optimization.
Fusion FBDI/HDL per business object. Snowflake/BigQuery/Databricks/Synapse via Parquet+auto-DDL. Long-term archive in object storage. Operational analytics in Postgres/SQL Server. Custom REST webhooks.
No schema changes, no writes to BaaN. Runs against read-replica when available. Throttled to respect tenant load. Full HGB/ITAR-grade access log for every extract operation.
From first connection to ongoing incremental feed. Typical deployment: 5–10 days from BaaN read-only credentials to first end-to-end extract completing.
BaaN release variant detection (IV/IVc4/V), database back-end version (Oracle/Informix/MS-SQL), t_fcom company enumeration, table catalog scan with row counts, BSE archive volumetric, session catalog inventory.
Database adapters configured per back-end. BSE archive filesystem mount established. Session-catalog access path validated. Read-only stance confirmed with DBA. Throttling parameters set per load profile.
Full-load extract of all in-scope tables to Parquet staging in cloud object storage. Partitioned by t_fcom + 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/AP/AR/inventory. Hash signatures cross-checked. Variance investigation per anomaly. First reconciliation pack issued.
Database CDC enabled (Oracle LogMiner / MS-SQL CDC / Informix logging). Exchange Scheme subscriptions configured for transactional events. Daily / hourly incremental extracts begin running.
Per-target output configured: Fusion FBDI/HDL emitters wired, Snowflake/BigQuery/Databricks Parquet target wired, long-term archive tiered object-storage wired, operational analytics mart wired. Operations dashboard live.
The same infor baan etl connector feeds every downstream consumer from one governed extract. No parallel pipelines.
Native FBDI/HDL formats per business object. Validated against current Fusion 26x schemas. Per-batch reconciliation. Hash-signed manifest per BU per ledger per period. The primary use case driving most deployments today.
Parquet over cloud object storage with auto-DDL for schema evolution. Partitioned by t_fcom + fiscal year. Suitable for analytical workloads without impacting production BaaN performance.
Tiered object storage (hot/warm/cold) for BaaN history. BSE attachments preserved. Queryable Parquet for SOX 7-year / HGB 10-year / IFRS / ITAR-DFARS retention without keeping BaaN infrastructure running.
Postgres / SQL Server data marts for finance / supply-chain / manufacturing dashboards. Pre-defined data models per pillar. Refresh cadence configurable per business need.
Webhook-style streaming for downstream applications — order management, customer portal, supplier portal, banking, EDI partners. Per-flow latency SLA. Retry / DLQ patterns.
Generate HGB statutory filings, SOX evidence packs, ITAR/DFARS export-control reports, IFRS consolidation outputs — all from the same governed extract with hash-signed lineage.
An infor baan etl connector is a purpose-built integration component that knows how to read from Infor BaaN IV / IVc4 / V (Extract), apply business transformations including dimension mapping, packed-decimal handling and HGB+IFRS dual-GAAP routing (Transform), and write the result into any downstream target — Oracle Fusion, Snowflake, BigQuery, Databricks, Synapse, S3/Parquet, long-term cloud archive (Load). Syntra ETL's infor baan etl connector ships pre-built for all 3,500+ BaaN tables across Finance (tfgld, tfacp, tfacr, tffam), Distribution (tdsls, tdpur, tcorda, tcibd), Manufacturing (tisfc, tibom, tipcs), Warehousing (whinp, twhinr), Project (tppdm) and Service (tssoc), with adapters for Oracle, Informix and MS-SQL back-ends, BaaN BSE archive filesystem reads, and ttadv/ttdlu session catalog mining.
Building your own BaaN ETL connector is a 6–9 month project. The complications: 3,500+ tables with cryptic prefixed names; composite natural keys that are not enforced as primary keys in the DDL; packed-decimal numeric encoding with implicit decimal-place rules in the column dictionary; t_fcom/t_lcom logical-company segregation; multi-byte EU/ME character collation that differs between Oracle and MS-SQL back-ends; BaaN release variant (IV/IVc4/V) changes table structures; the BSE archive filesystem layout; the session catalog metadata that holds the customization inventory. The Syntra ETL infor baan etl connector ships all of that on day one — refined across BaaN engagements in EU manufacturing, ME industrial, and global aerospace/defence — so the project starts at week one instead of month seven.
The Syntra ETL infor baan etl connector emits to multiple downstream targets from a single governed extract: (1) Oracle Fusion — via native FBDI/HDL formats per business object, validated against current Fusion 26x schemas; (2) Snowflake / BigQuery / Databricks / Synapse / Redshift — via Parquet over object storage with auto-DDL for schema evolution; (3) Long-term cloud archive — Parquet partitioned by t_fcom + fiscal year with BSE attachments preserved, for SOX 7-year / HGB 10-year / IFRS / ITAR-DFARS retention; (4) Operational analytics — Postgres / SQL Server data marts for finance / supply-chain dashboards; (5) Custom REST APIs — webhook-style streaming for downstream applications. Same extract feeds every target — no double-pulls, no double-reconciliation.
BaaN IV ran on Informix; BaaN IVc4 added Oracle support; BaaN V added MS-SQL alongside Oracle. Many sites still run on Informix today because the database migration is itself a project they want to avoid. The Syntra ETL infor baan etl connector 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, packed-decimal decoding rules, and Parquet staging output are identical regardless of back-end; the adapter layer abstracts SQL dialect differences. Customers can migrate the BaaN database back-end before the BaaN-to-Fusion migration, or run BaaN-to-Fusion directly from the existing back-end — the connector handles both.
Yes — incremental capture is a first-class capability. The Syntra ETL infor baan etl connector supports two CDC 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 during parallel-run; (2) BaaN Exchange Scheme subscription — captures transactional events as they post via the BaaN Exchange Scheme infrastructure, suitable for high-fidelity transaction-level capture. Most customers use database-level CDC during the migration's parallel-run window to capture deltas and replay into Fusion via REST API. Post-cutover, a subset continue running incremental extracts to feed a long-term BaaN cloud archive for SOX/HGB/IFRS/ITAR-DFARS retention compliance.
BaaN customers typically carry 200–800 customizations — custom 4GL sessions, Application Studio extensions, custom DLLs, BaaN Exchange Schemes, custom reports. The Syntra ETL infor baan etl connector mines the ttadv/ttdlu session catalog automatically, exports every 4GL source artefact with its trigger context, classifies by business purpose, and produces a retire-or-rebuild recommendation per object. This is not extracted data per se — it's metadata about the BaaN environment that downstream consumers use: the Fusion migration team uses it for rebuild planning (AMX / OIC / Visual Builder / OTBI / BI Publisher); the long-term archive consumer uses it to preserve the 4GL source code alongside the data for full audit reconstruction of how business logic operated.
BaaN BSE (BaaN Software Environment) maintains a filesystem-level archive directory for binary attachments — drawings (DWG, PDF), contracts, vendor specs, customs documents, customer POs, photographs of inventory, MRP attachments. The Syntra ETL infor baan etl connector reads the BSE archive via filesystem-level mount (read-only NFS / SMB share with appropriate credentials), catalogs every attachment with its original BSE reference (typically a constructed path like /bse/archive/
The Syntra ETL infor baan etl connector deploys as a containerized service in the customer's cloud environment (AWS / Azure / GCP / OCI) or in Syntra ETL's managed cloud. Deployment time: 5–10 days from BaaN read-only credentials being available to first end-to-end extract completing. Operations: a web dashboard showing per-table extract status, per-partition hash signatures, reconciliation against BaaN source, downstream target landing confirmation. Runbook for routine ops (scheduling, monitoring, error triage). SLA-defined alert routing for failures. The connector is read-only by design — no schema changes to BaaN, no writes — and runs throttled to respect BaaN tenant load profile. Operational handover to customer team typically completes in 4–6 weeks post-deployment.
Book a 30-minute discovery call. We'll walk through your BaaN release variant, database back-end, multi-company t_fcom footprint, BSE archive scope, downstream target list and operational handover preferences — and confirm a 5–10-day deployment plan before the call ends.