[FAQ Bot] NEW: Does it matter which serverless database I pick for the bonus deployment

_questions/llm-zoomcamp/module-5/008_d1f55bcb1a_serverless-db-delayed-feedback-insert-update.md

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+id: d1f55bcb1a
+question: Does it matter which serverless database I pick for the bonus deployment
+  points when user feedback arrives after the interaction is stored?
+sort_order: 8
+---
+
+Yes—it can matter a lot because your write pattern is typically two-step: (1) an `INSERT` when the interaction happens, then (2) an `UPDATE` later when the user submits thumbs up/down.
+
+Some serverless databases are optimized for streaming/fast inserts but have a “fresh insert” window during which the row cannot be updated (or behaves differently than you’d expect). If your monitoring/feedback pipeline does a delayed feedback update, that can silently break (or effectively fail) the later `UPDATE`.
+
+For example, BigQuery can keep a newly inserted row effectively un-updatable for up to ~90 minutes due to its streaming buffer, which can break delayed feedback updates unless you change the data model.
+
+A serverless Postgres option like Neon supports both the initial `INSERT` and a later `UPDATE` more naturally, so you usually don’t need special casing.
+
+Practical guidance:
+- Check whether your chosen serverless database supports “insert now, update later” with no restrictions.
+- If your database has an update/consistency window, consider restructuring feedback into a separate table (or otherwise modeling delayed updates) to avoid updating the freshly inserted row directly.