PostgreSQL on Ceph vs. SAN: Intelligent Data Platforms for Performance & Cost
Key takeaways for IT leaders
Running PostgreSQL on Ceph is an attractive cost story on paper: scale-out, commodity hardware, and built-in redundancy. In reality, Postgres OLTP workloads expose the weaknesses of generic object/block stores — tail latency, recovery storms, and small-write behavior that can turn a cheap cluster into a performance and availability problem. For mid-market IT teams and MSPs under margin pressure, those problems translate directly into emergency engineering time, missed SLAs, and forced hardware refreshes.
Traditional SANs and DIY Ceph both fail for different reasons. SANs are expensive and lock you into refresh cycles; DIY Ceph saves capex but shifts costs into tricky operations — pool tuning, placement groups, WAL/commit placement, and rebuild management. The smarter move is not blindly choosing one technology but adopting an intelligent data platform that codifies database best practices, enforces predictable performance and lifecycle controls, and reduces the operational burden. Platforms like STORViX give you reproducible Postgres profiles, isolation for WAL and data, built-in lifecycle policies, and the controls you need to manage risk and TCO without adding staff headcount.
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