Scaling Neo4j with Causal Clustering
Understand Neo4j's causal clustering architecture and learn how to set up and manage a highly available and scalable graph database.
Scaling Beyond a Single Server
Running Neo4j on a single server is great for development and smaller applications. But what happens when your application grows?
A single server can become a bottleneck for performance and introduces a single point of failure. If that server goes down, your application loses access to its graph data.
Introducing Causal Clustering
To address these challenges, Neo4j offers Causal Clustering. This is Neo4j's native architecture for building highly available and scalable graph databases.
A cluster distributes your data and operations across multiple servers, ensuring continuous operation and improved performance even under heavy loads or server failures.
All lessons in this course
- Optimizing Cypher Query Performance
- Advanced Indexing Strategies
- Scaling Neo4j with Causal Clustering
- Profiling Queries with EXPLAIN and PROFILE