The new feature `CALL {}… IN CONCURRENT TRANSACTIONS` (CICT) in Neo4j allows for concurrent writes to Cypher subqueries, which can significantly improve performance, especially for large-scale data inserts or graph updates. This feature is particularly useful when dealing with huge transactions that would result in memory issues. By using CICT, users can split their transactions into batches of rows, breaking them down into smaller transactions that consume less memory. The feature uses a Cypher-native way to execute these batched subqueries in a single CPU thread, not in parallel. This allows for more efficient use of system resources and improved performance compared to using external libraries like APOC. The author tested CICT with a simple experiment loading 2 million nodes into an empty database, achieving significant speedups with concurrent transactions and batch sizes. The optimal configuration appears to be small batch sizes with high concurrency, but the database itself can often determine the best settings. Overall, CICT provides a simpler and cleaner way to execute large-scale data loads and graph updates, with performance comparable to APOC without its drawbacks.