PuppyGraph Blog

Learn how to recreate Wiz's security graph using PuppyGraph, eliminating complex ETL processes while achieving scalability and performance.

Discover the transformative potential of knowledge graphs. Dive into a world where structured data meets intuitive connections, empowering efficient information retrieval and innovative decision-making.

Discover the leading 7 graph databases in the dynamic landscape of data management.

Explore the best Neo4j alternatives for graph database solutions. Compare performance, scalability, and features of five top tools to find your ideal match.

PuppyGraph raises $5 million in seed funding led by defy.vc to bring zero-ETL GraphRAG and real-time graph analytics to market.

A graph database efficiently stores and manages complex, interconnected data by representing it as nodes and relationships (edges).

Explore the advantages of distributed graph databases, designed to efficiently manage complex data relationships across multiple locations.

Explore the key differences between graph databases and relational databases. Uncover the nuances of data modeling, query language, and performance optimization in each paradigm.

Explore the power of Gremlin, the graph traversal language for querying and analyzing graph databases. Learn about Gremlin's syntax, operations, advanced features, and real-world applications in this detailed guide.

Explore our comprehensive guide on Graph RAG, covering everything from its basics, integration in LLMs, diverse types, and how PuppyGraph can help with GraphRAG.

Unlock deeper data insights with Databricks Graph Database. Discover how Databricks' powerful platform integrates graph databases to enhance connectivity, performance, and real-time analytics for your data-driven decisions.

Unlock the power of data connectivity with Databricks Knowledge Graphs. Discover how integrating knowledge graphs into your Databricks workflows can enhance data insights.

Discover the fundamentals of graph query languages, its key concepts, popular query languages like Cypher and Gremlin & advanced techniques.

Discover the power of graph data science in analyzing complex networks and relationships. Learn about graph theory, advanced algorithms and machine learning techniques.

Explore the intricate web of connections between entities with relationship graphs. From social networks to biological systems, uncover the hidden dynamics and applications of these interconnected structures.