thatDot Streaming Graph is a real-time graph event stream processing engine developed by thatDot. It combines the speed of an event stream processor with the power of graph analysis, designed for advanced persistent threat (APT) detection, complex cybersecurity use cases, and other streaming analytics applications. Developed through a DARPA project and funded by Crowdstrike, thatDot Streaming Graph processes multiple data streams simultaneously, identifying important patterns from past, present, and incoming data. It analyzes streaming data using graph analysis techniques, allowing for real-time detection of threats, anomalies, and complex events. The product can process categorical data directly without conversion to numerical formats, integrates with various data pipelines, and offers distributed compute capabilities for handling high-speed data processing. It can ingest data from multiple sources, including Apache Kafka and AWS Kinesis, creating a unified streaming graph for analysis. The platform supports the Cypher query language for graph operations and can process up to 1 million events per second, making it suitable for high-volume, real-time data scenarios.
