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Key architectural and tuning strategies for real-time write-heavy databases, covering storage engines, compaction, batching, and latency trade-offs.
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Real-time, write-heavy database workloads present a unique set of performance challenges that differ significantly from read-heavy systems. These workloads are characterized by extremely high ingestion rates (often exceeding 50,000 operations per second), a greater volume of writes than reads, and strict latency requirements—frequently demanding single-digit millisecond P99 performance. Such conditions are common in modern systems like IoT platforms, online gaming engines, logging and monitoring pipelines, e-commerce platforms, ad tech bidding systems, and real-time financial exchanges.