Five essential strategies to reduce costs, avoid licensing risk, simplify operations, and future-proof your data infrastructure for the AI era.

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A five-part checklist for enterprise database strategy covering: adopting community-led open source (PostgreSQL, Valkey) to avoid licensing risks like those seen with Redis and Elastic; using platform engineering to reduce database sprawl; centralizing observability across heterogeneous database estates; preparing for AI workloads with vector search capabilities; and leveraging automation cautiously to accelerate operations while maintaining human oversight. The overarching theme is prioritizing open, integrated, AI-ready database systems to reduce TCO and avoid vendor lock-in.

A checklist for enterprise database success