SAP is powerful, widely deployed, and notoriously difficult to integrate with. The integration challenges are real - but most of them stem from a small number of common mistakes that are worth understanding before you start.
Mistake 1: Connecting directly to SAP tables
SAP's underlying database tables are not designed to be queried directly by external systems. The schema is complex, table names are not intuitive, and the data often requires SAP-specific knowledge to interpret correctly. Direct table access also creates performance and support risks.
The right approach is to use SAP's published interfaces: BAPIs (Business Application Programming Interfaces), IDocs, or the SAP API Hub for cloud-based systems. These are stable, documented, and supported.
Mistake 2: Building point-to-point integrations
A direct connection between SAP and one external system works until you add a second external system. Then a third. Point-to-point integration becomes unmaintainable at scale.
The pattern that scales is a middleware layer: a message broker or integration platform that sits between SAP and all external systems. Changes to SAP affect one integration (SAP to middleware), not ten.
Mistake 3: Not handling SAP's data model
SAP represents business objects in ways that are not immediately intuitive. A sales order in SAP is distributed across multiple tables with complex header/item/schedule line structures. Material master data spans dozens of views. Understanding this before you design the integration prevents the mismatch that causes data to arrive incomplete or malformed.
The patterns that work
For outbound data from SAP: IDocs for high-volume transactional data, BAPIs for structured queries, change pointers for real-time change capture. For inbound: BAPIs or REST APIs for cloud systems, IDocs for legacy.
If you are planning an SAP integration and want to talk through the architecture before you start, reach out. Getting the pattern right early is worth more than any implementation shortcut.
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