Here&#x27;s some benchmark:<p>Word count of 1.13B messages
- Storm: ~16K QPS&#x2F;node, 100ms per event (P999)
- Spark Streaming: 100K QPS&#x2F;node, 1s batch window
- Concord: 500K QPS&#x2F;node, 10ms per event (P999)<p>Server log processing (29G server log, ~260M msgs)
7 different computations including deduplication, counting, pattern matching, windowing...
4 nodes, 8 vCPU, 32GB RAM each
Concord: 1M – 1.8M QPS &#x2F; cluster
Spark Streaming: 72K – 2M QPS &#x2F; cluster<p>Concord generally performed in the consistent range of 1-1.8M QPS for whereas Spark&#x27;s throughput varied differently based on window sliding &#x2F; amount of internal shared state.