High-concurrency BI workloads expose a fundamental mismatch in consumption-based cloud data warehouses, where predictable daily querying drives unpredictable costs. Postgres-based MPP architectures like EDB Postgres AI for WarehousePG handle the same workloads with a single cluster, delivering consistent performance and significantly lower cost by avoiding auto-scaling sprawl. Enterprise examples show how capacity-based analytics better supports modern BI, AI-driven querying, and data sovereignty requirements.
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