Enterprises Simplify Data Platforms To Reduce Seams

An industry analysis argues enterprises are rearchitecting data platforms to reduce 'seams' between transactional, analytical, streaming, and AI systems as integration costs rise. The author explains how fragmentation—CDC pipelines, replicated tables, and tool sprawl—creates latency, governance overhead, and operational burden, and advocates workload-aware, PostgreSQL-centered platforms to minimize data movement, improve operational trust, and speed AI experimentation.
Scoring Rationale
Strong industry-wide relevance and practical guidance, limited by opinion-based analysis and lack of empirical data.
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