PuppyGraph Blog

Discover how cybersecurity analytics leverages data, AI, and behavior analysis to detect threats, assess cyber risks, and enhance security decision-making in real-time.

Explore what software dependency graphs are, how they model relationships in code, and how tools like PuppyGraph help manage complexity and optimize builds.

Compare the performance, scalability, and features of the top Dgraph alternatives, including PuppyGraph, Neo4j, Amazon Neptune, ArangoDB, and JanusGraph, to find the right graph database for your needs.

Wiz’s $32B win wasn’t just great execution. It was a bet on graph architecture that unlocked speed, iteration, and product velocity where Lacework couldn’t keep up.

Learn how vulnerability graphs connect assets, CVEs, and attack paths to help you prioritize security risks with context. Boost your cyber resilience with graph-based analysis.

Explore what Cloud SIEM is, how it enhances cybersecurity, its core components, and best practices for implementing a secure and scalable SIEM solution in the cloud. See how PuppyGraph adds graph analytics to uncover deeper insights and improve threat detection.

Discover how graph analytics in big data reveals hidden patterns, relationships, and insights. Learn key use cases, tools, and real-world applications for enterprise-scale decision-making.

Explore the concept of connected components in graph theory. Learn definitions, algorithms like DFS and Union-Find, real-world applications, and Python examples.

Explore the best TigerGraph alternatives for graph database solutions. Compare performance, scalability, and features of five top tools to find your ideal match.

MongoDB isn’t a graph database—but with PuppyGraph, you can run powerful graph queries on MongoDB data in real time, without data migration. See how to unlock true graph capabilities.

Learn how logs, metrics, and traces work together for observability, and see how graph modeling helps teams like Coinbase improve incident response.

Learn everything about graph traversal techniques like Depth-First Search (DFS) and Breadth-First Search (BFS), including algorithms, use cases, and code examples to master graph-based problem solving.

Discover the best JanusGraph alternatives for managing large-scale graph data. Compare features, performance, and use cases to find the right graph database for your needs.

Discover how Spark Graph, powered by GraphX and GraphFrames, enables scalable graph analytics for big data.

Security analytics detects threats, accelerates response, and uses graph techniques to reveal hidden risks in connected data.