Graph databases, such as Memgraph and Neo4j, are essential for executing real-time analytics on streaming data due to their ability to handle highly connected data efficiently. Real-time applications require low latency and high throughput to function optimally, with latency being the time it takes for a request to be processed and throughput representing the number of requests handled per second. Memgraph, written in native C++, and Neo4j, based on JVM, both utilize the Bolt protocol and Cypher query language but differ significantly in architectural implementation. Benchmarking shows Memgraph generally outperforms Neo4j in terms of latency and throughput, making it more suited for real-time applications, while Neo4j tends to consume more memory due to its JVM foundation. Cost considerations are influenced by hosting expenses, as both databases are open-source, but Memgraph's lower memory usage could reduce hosting costs compared to Neo4j.