llm/302a36fb-79e1-4f4b-b047-e145d20e4497/topic-5-d2353002-04c9-46fc-bada-3bf566709f05-output.json
Immutable and bi-temporal databases are increasingly vital for fintech and health-tech, where compliance mandates non-destructive audit trails and the ability to query the "state of the world" at any point in history. While specialized systems like XTDB and Datomic offer powerful time-travel capabilities, some developers prefer "bolting" these features onto Postgres using range types and audit triggers to avoid the steep learning curves and "exotic" nature of standalone immutable engines. The discussion reveals a perceived "blind spot" in mainstream database discourse, highlighting a demand for more modular, "lego-like" storage engines that could bring these sophisticated temporal features to standard SQL environments. Ultimately, advocates argue that moving away from destructive operations not only ensures regulatory peace of mind but also unlocks technical benefits like seamless concurrency and instant transaction undos.