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News, stories and updates from PuppyGraph
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Vector Database vs Graph Database: Key Differences
Graph Database
Vector Database vs Graph Database: Key Differences
Explore the differences between vector databases and graph databases. Uncover how vector databases leverage mathematical representations for efficient data storage and retrieval, while graph databases excel in modeling complex relationships within interconnected data.
AI Agent Architecture: Components & Types
AI/ML
AI Agent Architecture: Components & Types
Learn AI agent architecture, including components, types, workflows, and best practices. Explore how modern AI agents use memory, planning, and LLMs to operate efficiently.
Data Federation: How It Works, Benefits, Use Cases
Data Modeling
Data Federation: How It Works, Benefits, Use Cases
Learn what data federation is, how it works, and how it compares to data integration. Explore benefits, use cases, challenges, and tools in modern data architecture.
Data Ontology: Definition, Examples, Benefits
Knowledge Graph
Data Ontology: Definition, Examples, Benefits
Learn what data ontology is, how it works, and why it matters. Explore key components, real-world examples, tools, and best practices for building effective ontologies.
Schema Relationships: Types & Examples
Data Modeling
Schema Relationships: Types & Examples
Understand schema relationships in databases with clear types, examples, and diagrams. Learn one-to-one, one-to-many, and many-to-many schema relationships.
PuppyGraph on MongoDB: Native Graph Queries Without ETL
Graph Database
PuppyGraph on MongoDB: Native Graph Queries Without ETL
Step-by-step tutorial on running graph queries on MongoDB without ETL. Learn how to use PuppyGraph to analyze connected data in real time.
Announcing PuppyGraph on Google Cloud Lakehouse: Enforced Ontology for AI Agents on Iceberg
Announcement
Announcing PuppyGraph on Google Cloud Lakehouse: Enforced Ontology for AI Agents on Iceberg
Google Cloud Lakehouse for AI agents with PuppyGraph. Query Iceberg data as an ontology-enforced graph with zero ETL and sub-second performance.
AWS Neptune vs Neo4j: Which Graph DB is Better?
Graph Database
AWS Neptune vs Neo4j: Which Graph DB is Better?
Explore AWS Neptune vs Neo4j to see how they stack up in pricing, scalability, and graph query support. Learn which graph database is right for your project.
Best Graph Database Visualization Tools
Visualization
Best Graph Database Visualization Tools
Explore the power of graph database visualization tools to unlock valuable insights from complex relationships and interconnected data.
Graphs for Cybersecurity: Do You Need Them?
Graph Analysis
Graphs for Cybersecurity: Do You Need Them?
Explore the role of graphs in fortifying cybersecurity defenses. Discover how graph-based analysis unveils hidden threats, patterns, and vulnerabilities, empowering organizations to bolster their security posture against evolving cyber threats.
What Is an AI Security Graph?
AI/ML
What Is an AI Security Graph?
Learn how AI security graphs enhance threat detection, map attack paths, and improve cloud security with real-time context and AI-powered insights.
Neo4j Tutorial: Learn Graph Databases & Cypher from Scratch
Graph Database
Neo4j Tutorial: Learn Graph Databases & Cypher from Scratch
Learn Neo4j with this beginner-friendly tutorial covering graph concepts, Cypher queries, data modeling, performance optimization, and best practices.
What Is a Cyber Data Lake?
Cybersecurity
What Is a Cyber Data Lake?
Learn what a cyber data lake is, how it works, key architectures, security use cases, and best practices to scale threat detection, analytics, and SOC operations.
Agentic Text-to-SQL:  A Detailed Guide
AI/ML
Agentic Text-to-SQL: A Detailed Guide
Discover Agentic Text-to-SQL, how AI agents automate SQL generation, handle complex queries, and improve data access with accuracy, governance, and scalability.
Apache Graph Database: Choosing the Right Open Source Tool
Graph Database
Apache Graph Database: Choosing the Right Open Source Tool
Explore Apache Graph Databases like TinkerPop, Giraph, Cassandra, HBase, and beyond. Learn about scalability, real-time analytics, and community-driven innovation.

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