What I appreciate best about Apache Flink is that it's open source and geared towards a distributed stream processing framework.
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.
