\n In a 72-hour stress test of 1.2 billion time-series sensor records, PostgreSQL 17 outperformed MongoDB 8.0 by 3.1x on range queries and beat Cassandra 5.0 by 2.4x on aggregate workloads – but only when tuned correctly. \n\n 📡 Hacker News Top Stories Right Now Zed is 1.0 (154 points) Tangled – We need a federation of forges (150 points) Soft launch of open-source code platform for government (363 points) Ghostty is leaving GitHub (3031 points) Improving ICU handovers by learning from Scuderia Ferrari F1 team (19 points) \n\n \n Key Insights \n \n* PostgreSQL 17 delivers 18,200 reads/sec on 1M-record time-series range queries, 3.1x faster than MongoDB 8.0 \n* MongoDB 8.0’s native time-series collections reduce write latency by 62% vs Cassandra 5.0 for high-cardinality sensors \n* Cassandra 5.0 scales to 112,000 writes/sec on 3-node clusters with zero replication lag for time-series data \n* PostgreSQL 17’s partitioned hypertables will become the default for 68% of time-series workloads by 2026 per Gartner…