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

Graph Data Model
What is Customer Journey Graph?
Discover how customer journey graphs transform traditional analytics. Learn to map, analyze, and optimize complex customer paths using graph databases and visualization tools.

Graph Database
Top 4 Cassandra Alternatives of 2025
Explore the top alternatives to Apache Cassandra, including scalable NoSQL and distributed databases like MongoDB, ScyllaDB, Amazon DynamoDB, and more. Compare features, performance, and use cases.

Cybersecurity
Software Dependency Graphs: Definition, Use Cases, and Implementation
Explore what software dependency graphs are, how they model relationships in code, and how tools like PuppyGraph help manage complexity and optimize builds.

Graph Database
Top 5 Dgraph Alternatives of 2025
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.

Graph Data Model
How Wiz Crushed Lacework: A Data Infrastructure Perspective
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.

Cybersecurity
What is a Vulnerability Graph?
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.

Cybersecurity
What is Cloud SIEM? Solutions and Strategies
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.

Graph Analysis
Graph Analytics in Big Data: Concepts and Examples
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.

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

Graph Database
Top 7 TigerGraph Alternatives of 2025
Explore the best TigerGraph alternatives for graph database solutions. Compare performance, scalability, and features of five top tools to find your ideal match.

Graph Database
MongoDB Graph Database: Native Graph Queries with PuppyGraph
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.

Cybersecurity
Logs, Metrics, Traces: From Theory to Use at Coinbase
Learn how logs, metrics, and traces work together for observability, and see how graph modeling helps teams like Coinbase improve incident response.

Graph Algorithm
Graph Traversal Algorithms Explained: DFS, BFS & Applications
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.

Graph Database
Top 5 JanusGraph Alternatives of 2025
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.
