Historical source material recovered on 2026-09-09. Capture dates and source limitations apply; recovery is not fresh verification.
Multi Model Databases
Databases that combine relational, vector, graph, key-value, and full-text capabilities for AI grounding and application state.
Key points
- Added to AI Watch from [src-197].
Related
Historical recovered snapshot — 2026-08-20
Preserved from ai-watch-src371-376-20260820-115500-correction. Documentary recovery on 2026-09-09; claims below retain their historical source scope and were not freshly verified. Current synthesis above remains authoritative.
- Added to AI Watch from [src-197].
- Bauer’s “Postgres first” heuristic adds a useful architectural rule: test whether one relational system can meet search, document, queue, time-series, vector, cache and hierarchy requirements before paying the coordination cost of specialised stores [src-373].
- This is not universal replacement evidence; workload-specific latency, throughput, retention and isolation requirements still justify specialised infrastructure [src-373].
- [src-197] Existing multi-model database source cluster.
- [src-373] Dr Raphael A. Bauer — “PostgreSQL for Everything” (2024-02-14)
Keep reading from this thread
From 500 indexed pages and articles.
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