Memgraph or Neo4j: Analyzing Write Speed Performance

Ante Javor's analysis explores the complexities of write operations in graph databases, specifically comparing Memgraph and Neo4j, with a focus on write speed performance. The text highlights the greater technical complexity of write operations compared to read operations, emphasizing the importance of maintaining ACID properties, concurrency control, data integrity, and performance. It discusses how the choice of data storage medium significantly impacts performance, noting that Memgraph's use of RAM in its IN_MEMORY_TRANSACTIONAL mode results in faster operations compared to Neo4j's hybrid use of disk and RAM. Benchmark results demonstrate Memgraph's superior performance for write-heavy applications, with notably lower latency and faster execution times for creating nodes compared to Neo4j. The document suggests that Memgraph's in-memory approach makes it a preferable option for applications with frequently changing graphs and high write demands.