Leveraging AWS Neptune for High-Performance Graph Databases in Enterprise Solutions

Author(s)	Raju Dachepally
Country	United States
Abstract	Graph databases have become essential for enterprise applications dealing with complex relationships in data. AWS Neptune, a managed graph database service, provides high-performance solutions with support for both property graphs (Gremlin) and RDF (SPARQL) graph models. This paper explores how AWS Neptune enhances enterprise scalability, query efficiency, and flexibility over traditional relational databases. We discuss real-world applications, data modeling strategies, indexing, and security considerations for AWS Neptune. The paper also presents a case study on fraud detection in financial transactions using graph databases and compares AWS Neptune’s performance with traditional RDBMS-based approaches.
Keywords	Graph Database, AWS Neptune, Data Relationships, Enterprise Solutions, Property Graphs, SPARQL, Gremlin, Query Performance, Fraud Detection
Field	Engineering
Published In	Volume 4, Issue 5, May 2023
Published On	2023-05-11
Cite This	Leveraging AWS Neptune for High-Performance Graph Databases in Enterprise Solutions - Raju Dachepally - IJLRP Volume 4, Issue 5, May 2023. DOI 10.5281/zenodo.14880683
DOI	https://doi.org/10.5281/zenodo.14880683
Short DOI	https://doi.org/g849pt

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