The Evolution To Streaming Graph from Graph Databases
When it comes to event-driven applications, graph database users require a new approach: streaming graph.
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thatDot is transforming cybersecurity with innovative Streaming Graph technology. By merging real-time event stream processing with powerful graph analytics, thatDot offers unparalleled capabilities in threat detection and response, ensuring robust protection against modern cyber threats.
Let’s Talk Streaming Graph! (with demo)
Ryan Wright (CEO of thatDot) joins Joe Reis and Matt Housley on the TGIF! Let's Talk Data live show to chat about streaming graphs.
Recipe for Streaming Graph Success
Quine Recipes make it dead easy to connect to your real-time event streams and turn them into stateful streaming graphs
Computing Recursive Rollups in a Kafka Event Streaming Pipeline
Matthew Splett from Tripwire explains how he replaced complex SQL queries with succinct Cypher queries to process rollup data.
AWS Names thatDot’s Novelty Detector As A Containers Anywhere Partner
Bringing cloud-based data management into the enterprise data center, where much enterprise data still lives, is now simpler than ever.
Stop Insider Threats With Automated Behavioral Anomaly Detection
Advanced: Finding a malicious employee is one of the toughest cyber-security challenges in the industry.
Quine Streaming Graph Scales to 1.1 Trillion Log Events per Month
Learn how Quine streaming graph achieved a sustained rate of recording 425,000 records per second into our streaming graph.
Data Exfiltration Detection in AWS CloudTrail Logs Using Categorical Data
This blog on AWS data exfiltration detection explains the use of categorical data in anomaly detection to identify multi-stage exploit campaigns in AWS CloudTrail logs.