Picking the Right Database Tech for Cybersecurity Defense

This article examines how graph and streaming databases are transforming cybersecurity data management by enabling relationship-centric modeling, real-time processing, and improved threat visualization. Industry voices from Neo4j, PuppyGraph, and RisingWave highlight benefits for detecting patterns such as fraud and network intrusions, while acknowledging challenges with data scale and complexity. It also notes the maturation of the ecosystem, including open-source platforms like Apache Kafka, proprietary services like AWS Kinesis, and standards progress such as SQL:2023 introducing property graph support and promising performance via a DuckDB plugin.