Apache Flink provides faster and low-cost investment for me; I find it to have low hardware requirements, and it's faster with low code, meaning it's easy to understand for moving the streaming data.
Apache Flink offers excellent state management and checkpointing, ensuring reliable message processing and simplified maintenance. It enhances data transformation through mapping functions, supports real-time data processing with features like alerts, and is low-latency optimizable. However, performance may drop with RocksDB, and documentation requires updates. Stability issues and limited flexibility in the machine learning library are noted. Additional beginner support and examples are needed.
