PuppyGraph Blog

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.

Discover how LLM graph databases integrate large language models with graph technology to improve reasoning, semantic search, and knowledge management for AI-driven applications.

Discover how the MCP Knowledge Graph connects data, relationships, and context to deliver a unified view for smarter decision-making. Learn its features, use cases, benefits, and implementation roadmap.

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

Learn how Apache Iceberg and Trino work together to power modern data lakehouses. Explore features, architecture, use cases, and optimization for scalable analytics.

Learn how SQL Graph brings graph database capabilities to relational systems. Discover how to model, query, and analyze relationships using nodes, edges, and the MATCH syntax in SQL Server.

Explore the differences between a knowledge graph and a graph database, their unique use cases, benefits, and how to fit them into your data strategy.

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

Learn how a graph database powers a true Customer 360 view by connecting data across silos. Discover use cases, architecture, and top tools for customer intelligence.

Discover how cybersecurity analytics leverages data, AI, and behavior analysis to detect threats, assess cyber risks, and enhance security decision-making in real-time.

Discover how customer journey graphs transform traditional analytics. Learn to map, analyze, and optimize complex customer paths using graph databases and visualization tools.

Explore the top alternatives to Apache Cassandra, including scalable NoSQL and distributed databases like MongoDB, ScyllaDB, Amazon DynamoDB, and more. Compare features, performance, and use cases.

Explore what software dependency graphs are, how they model relationships in code, and how tools like PuppyGraph help manage complexity and optimize builds.