Cypher Performance Improvements in Neo4j 5

Neo4j 5.26 LTS is coming with significant performance improvements in Cypher queries, including new operators, block format, parallel runtime, label inference, and eagerness analysis on logical plan. These features aim to enhance the query planner's ability to execute queries efficiently by leveraging advanced techniques such as pipelining, concurrent transactions, and eager operators. The parallel runtime supports read-only queries and can significantly speed up long-running analytical graph-global queries, while label inference continuously improves query planning by applying advanced deduction logic. Eagerness analysis on logical plan ensures that the query planner inserts eager operators where needed to optimize performance without sacrificing accuracy. Additionally, new Cypher language constructs such as quantified path patterns, shortest path, and vector indexes have been introduced to improve query performance in various ways. These features collectively contribute to faster and more efficient execution of Cypher queries in Neo4j 5.26 LTS.