Traceability, the ability to track parts and products, is a necessity for many enterprise applica- tions. These include pilferage reduction, counterfeit prevention, and targeted recalls. In this paper, we share lessons learned from a comparative analysis of two state of the art traceability data management systems: a federated system for parts traceability; and a distributed system for distribution chain traceability. We have abstracted out the characteristics of the two systems and built simple query execution models to compare the performance of the federated and distributed approach to traceability. Using these abstract models we eval- uate how different parameters such as supply chain layout and available infrastructure influence the costs incurred. Based on the comparison, we provide guidelines for businesses looking to buy or build a trace- ability system. This work is an important step towards a formal framework to compare disparate traceability systems, taking into account common industrial configurations.
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