Sodium-ion batteries (SIBs) are emerging as a promising solution for grid-scale energy storage applications due to the widespread availability of sodium and the anticipated cost-effectiveness. The manufacturing expertise established for lithium-ion batteries (LIBs) offers a solid foundation for the development of SIBs. However, to realize their full potential, specific challenges related to the synthesis and performance of electrode materials in SIBs must be overcome. This work extracts a large database of challenges limiting the performance and synthesis of SIB cathode active materials (CAMs) and pairs these challenges with corresponding proposed mitigation strategies from the SIB literature by employing custom natural language processing (NLP) tools. The database is meant to help scientists expedite the development and exploration of SIBs.