The new Parallel Cypher Runtime is a fantastic alternative for executing graph-global read queries that can drastically improve query speed on databases with multiple CPUs available. It's ideal for users who need to process large sections of the graph, such as those engaged in explorative work like data analytics or investigative journalism. However, it may not be suitable for high transactional workloads, write statements, or graph-local queries, where pipelined runtime is still a better choice. Advanced Neo4j users can benefit from running different queries on different runtimes to customize their performance based on specific workload needs. The parallel runtime is optimized for large-scale databases with multiple CPUs, and its performance will likely improve in future releases.