AI workloads are exposing a mismatch in how most teams have built their data platforms, leading to performance issues and high costs due to traditional databases being ill-suited for the high concurrency and low latency required by AI applications. This shift underscores the need for real-time analytical databases that can handle interactive queries efficiently, with Postgres + OLAP becoming the default architecture for scaling agentic AI applications.
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Ali NematiWritten by Ali
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