InfoQ Homepage Presentations Causal Consistency for Large Neo4j Clusters
Causal Consistency for Large Neo4j Clusters
49:40
Summary
Jim Webber explores the new Causal clustering architecture for Neo4j, showing that, despite the mixture of consensus protocols and asynchronous replication, Neo4j allows users to read their own writes straightforwardly, and discusses why this is such a difficult achievement in distributed systems.
Bio
Jim Webber is Chief Scientist with Neo Technology, the company behind the popular open source graph database Neo4j. He works on R&D for highly scalable graph databases and writes open source software. He has written two books on integration and distributed systems: “Developing Enterprise Web Services” and “REST in Practice”. His latest book is “Graph Databases” which focuses on the Neo4j database.
About the conference
Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.
Apr 07, 2017