Tackling Challenges in Implementing Large-Scale Graph Databases.

Graph databases (GDBs) have become increasingly important for managing large repositories of unstructured information, particularly due to their ability to represent complex relationships between entities. While their expressive data models and flexible query languages drive their success, the primary challenge hindering wider adoption is the efficiency of their implementation. In response to these challenges, significant research efforts, particularly in Latin America, focus on developing new data models, query languages, and efficient algorithms, including space-efficient structures like the Ring index, which supports complex queries with minimal memory footprint.