PuppyGraph Blog

Microsoft OneLake comes provisioned with every Microsoft Fabric tenant as the default data lake. As the “OneDrive of data”, OneLake provides a single logical lake that unifies storage across workspaces and engines. This allows teams to spend less time managing overlapping storage resources and more time collaborating on a shared, governed lake.

Learn how Attack Surface Management helps identify, monitor, and secure your digital assets to reduce cyber risks and prevent breaches.

Compare ArangoDB and JanusGraph to understand their architectures, performance, scalability, and graph database features. Learn which one fits your project needs best.

Discover how an Asset Graph connects and visualizes relationships between digital assets, helping organizations enhance visibility, reduce risk, and improve security posture.

Explore how graph-based anomaly detection works, including nodes, edges and subgraph anomalies, methods using graph neural networks, and real-world applications in security, finance and networks.

Learn what an acquaintance graph is, how it models relationships between entities, and its use in social networks, AI, and graph databases. Explore structure, examples, and benefits.

Compare Apache Iceberg vs Delta Lake to understand their features, performance, ecosystem support, and use cases. Learn which open table format is best for your data lakehouse.

See how PuppyGraph adds graph queries to ClickHouse, enabling real-time relationship analysis for cybersecurity data without moving or copying data.

Learn how compliance graphs connect regulations, policies, and risks to automate compliance, boost visibility, and simplify audits for modern enterprises.

Learn the difference between Property Graph and RDF graph models. Understand their data structure, query languages, use cases, and how they power modern graph databases.

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

Learn the difference between backtracking and depth-first search (DFS). Understand how they work, their relationship, and when to use backtracking vs DFS in problem-solving.

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.