PuppyGraph Blog

Compare GraphDB vs Neo4j to understand differences in data models, query languages, performance, and use cases—so you can choose the right graph database.

Compare Apache Avro vs Parquet across storage model, schema evolution, performance, and use cases to choose the right format for your data workloads.

AI observability helps monitor, debug, and improve AI models in production by tracking performance, data drift, bias, and reliability in real time.

Learn what the software supply chain is, why it’s targeted by attackers, and how to secure it using SBOMs, DevSecOps, and modern security tools.

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

Discover the 7 best root cause analysis (RCA) tools to identify, analyze, and resolve issues effectively. Compare features and use cases to find the right fit.

Compare Apache Parquet vs ORC across performance, compression, schema handling, and analytics use cases to choose the right columnar format.

Learn how telemetry analysis helps in monitoring systems, collecting real-time data, and optimizing performance. Discover tools, benefits, and best practices.

Learn what graph reachability is, how it works, key algorithms like BFS, DFS & transitive closure, and real-world use cases in graphs and databases.

Apache Iceberg vs Parquet: Learn the key differences between Iceberg table format and Parquet file format, including use cases, performance, and architecture.

Explore the differences between knowledge graphs and large language models (LLMs). Understand how symbolic and statistical reasoning complement each other.

Learn how to build a robust SIEM system from scratch. This step-by-step guide covers architecture, log ingestion, correlation rules, alerting, and open-source vs. commercial tools.

Compare knowledge graphs with Retrieval-Augmented Generation (RAG). Learn how both approaches enhance AI accuracy, retrieval quality, and context understanding.

Compare TigerGraph and JanusGraph on architecture, GSQL vs Gremlin, indexing, consistency, clustering, and traversal performance to choose the right graph engine.

Compare Knowledge Graphs and Vector Databases to understand their strengths, use cases, and key differences. Learn which technology fits semantic search, AI applications, and enterprise data integration.