TY  - JOUR
U1  - Zeitschriftenartikel, nicht wissenschaftlich
A1  - Träris, Tim
A1  - Balsacq, Maxim
T1  - Where the Path Leads : State of the Art and Challenges of Graph Database Systems
JF  - informatikJournal
N2  - Compared to relational databases, graph database systems provide a novel way of processing and analyzing highly interconnected data. Due to their unique properties, graph databases embody an interesting area of research in academic circles. For this reason, this work is fundamentally concerned with examining the state of the industry and current challenges. In this regard, we revisit the basic concepts and highlight the tremendous heterogeneity of available systems using the example of differing path semantics. Based on this insight, we explore algorithmic advancements for graph query processing regarding path finding and worst-case optimal joins. Subsequently, we discuss issues regarding performance and support for graph analytics. Finally, we provide an overview of GQL, a joint standardization effort towards unification of property graph databases.
KW  - Graph database
KW  - Path semantics
KW  - Worst-case optimal join
KW  - Graph analytics
KW  - GQL
Y1  - 2021
U6  - https://nbn-resolving.org/urn:nbn:de:bsz:fn1-opus4-77178
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:fn1-opus4-77178
VL  - 12.2021
SP  - 77
EP  - 83
ER  -