PuppyGraph Blog

Explore the world of graph algorithms with our comprehensive guide.

Embark on a journey through the intricate landscape of graph search algorithms, from classical uninformed methods like BFS and DFS to informed approaches like Dijkstra's and A*.

Explore the fundamentals of distributed graph algorithms, including how they work, their benefits, use cases, and more.

Explore top AWS Neptune alternatives for graph databases. Compare features, offerings, and use cases to find the best solution for your business needs.

Explore the power of the Gremlin Graph API with this in-depth guide. Learn core concepts, traversal techniques, advanced queries, and best practices for building efficient graph applications using Gremlin.

Discover the top open-source graph databases, including insights on how they work and key considerations.

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.