PostgreSQL faces significant scaling challenges as applications grow, requiring complex workarounds like read replicas, manual partitioning, and additional tools for caching and analytics. These solutions create operational overhead and architectural complexity. The database's row-based storage struggles with analytical
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Beyond architecture: the technical limits of PostgresAI workloads push Postgres even furtherThe alternative: Unified, scalable SQL with SingleStorePostgres is great — until it isn’t1 Comment
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