PuppyGraph Blog

Understand the fundamentals of nodes and edges in graph theory. Learn how graphs represent relationships, their types, real-world applications, and how to build them using modern graph tools.

Compare TigerGraph and Amazon Neptune on architecture, GSQL vs Gremlin, indexing, consistency models, clustering, and traversal performance for production graph apps.

Learn what an Aggregate Schema is and how it enhances data performance in analytics. Explore its structure, benefits, comparisons with star and snowflake schemas, and real-world use cases.

Evaluate native distributed graph vs multi-model store, query options, clustering strategies, and ecosystem support.

Explore what graph aggregation is, how it summarizes complex graph data, and its role in analytics and GNNs. Learn key techniques, algorithms, use cases, and future trends in graph aggregation.

Discover how GraphRAG combines knowledge graphs with retrieval-augmented generation (RAG) to improve context, reasoning, and accuracy in LLMs. Learn its architecture, benefits, and real-world applications.

Compare OrientDB and Neo4j on speed, scalability, query language, data model, clustering, and ecosystem to choose the right graph database for your workload.

Explore what an RDF Knowledge Graph is, how it structures data using triples, and why it’s essential for the Semantic Web. Learn key use cases, tools, and real-world RDF graph examples.

Discover 7 real-world knowledge graph examples—from Google and LinkedIn to Amazon and Wikidata. Learn how these systems organize data, improve search, and power AI insights.

Compare TigerGraph and Neo4j on speed, clustering, schema design, and query languages to choose the right graph database for your use case.

External Attack Surface Management (EASM) helps organizations discover, monitor, and secure all internet-facing assets. Learn how EASM improves visibility, reduces cyber risks, and strengthens your overall security posture.

Compare TigerGraph and Dgraph on speed, scalability, and graph database features. See key strengths, tradeoffs, and understand the best fit for your project.

Discover what a dynamic graph is, how it models evolving relationships over time, and its key types, algorithms, visualization methods, and real-world applications in AI, cybersecurity, and data analytics.

Learn how Text to Cypher converts natural language into Cypher queries for Neo4j and other graph databases. Explore examples, tools, and use cases driving AI-powered query generation.

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.