InfoQ Homepage Interviews Michael Hunger on Spring Data Neo4j, Graph Databases, Cypher Query Language
Michael Hunger on Spring Data Neo4j, Graph Databases, Cypher Query Language
Bio
Michael has been passionate about software development since his childhood days in East Germany. He is particularly interested in the people who develop software, software craftsmanship, programming languages, and improving code. While he likes coaching and in-project development as an independent consultant, he really enjoys the numerous other projects in his life.
About the conference
Neo4j is a robust (fully ACID) transactional property graph database. Due to its graph data model, Neo4j is highly agile and blazing fast. For connected data operations, Neo4j runs a thousand times faster than relational databases.
Jan 24, 2013
Interview with
by
This content is in the Architecture topic
Related Topics:
Sponsored Content
-
Related Editorial
-
Related Sponsors
-
Popular across InfoQ
-
OpenAI Open-Sources Symphony, a SPEC.md for Autonomous Coding Agent Orchestration
-
Designing a Multi-Agent System for Engineering Support at Scale: a Case Study from Grab
-
Anthropic's Code with Claude Announces Managed Agents, Proactive Workflows, Capability Curve
-
OpenTofu 1.12: the Feature Terraform Never Shipped
-
Context is the Key to the Agentic Architecture Revolution: a Conversation with Baruch Sadogursky
-
Building a Secure MCP Server on AWS for a Million-Company B2B Platform
-