PuppyGraph Blog

Discover the differences between AWS Neptune and DynamoDB, from graph vs NoSQL data models to scalability, performance, and real-world use cases. Find the right AWS database for you.

Understand schema relationships in databases with clear types, examples, and diagrams. Learn one-to-one, one-to-many, and many-to-many schema relationships.

Learn many-to-many relationships with simple real-life and database examples. Understand how entities connect and why this model is important.

Learn the Cypher Programming Language, the declarative graph query language used in Neo4j and beyond. Explore syntax, examples, use cases, and how Cypher powers graph data modeling and applications.

Learn the difference between node count and edge count in graph databases. Understand their impact on performance, scalability, and data modeling best practices.

Arangodb vs Neo4j compared: discover key differences in features, performance, and deployment. See which graph database is the best choice for your workload.

Learn how exposure management helps organizations identify, prioritize, and mitigate cyber risks. Improve resilience with continuous monitoring and proactive defense.

Discover how Continuous Threat Exposure Management (CTEM) helps organizations identify, prioritize, and reduce cyber risks through real-time visibility and proactive security validation.

Compare Memgraph vs Neo4j to understand differences in performance, scalability, and use cases. Find out which graph database best fits your needs.

Learn how Cloud Security Posture Management (CSPM) helps organizations detect misconfigurations, ensure compliance, and strengthen multi-cloud security.

Discover how Application Security Posture Management (ASPM) enhances AppSec by unifying risk detection, prioritization, and remediation across the software lifecycle.

Explore AWS Neptune vs Neo4j to see how they stack up in pricing, scalability, and graph query support. Learn which graph database is right for your project.

Discover how graph databases help detect fraud in banking, fintech, and e-commerce by uncovering hidden relationships, spotting fraud rings, and reducing false positives with real-time analytics.

Learn what Entity Resolution is, how it works, and why it’s essential for data quality. Explore methods, tools, and use cases in MDM, customer 360, fraud detection, and more.

Compare Apache Hudi vs Apache Iceberg to explore their key features, performance, use cases, and ecosystem support. Learn which table format is right for your data lakehouse.