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You Shipped an AI Feature. Your Database Felt It.
When you add AI to your app, the data profile changes overnight. Every prompt, response, and user interaction becomes a timestamped event. That's not your app's usual row count.
Vanilla Postgres handles it until it doesn't. Query times creep up. Dashboard refreshes slow down. You start reaching for a second database or a data pipeline to offload the load.
TimescaleDB extends Postgres for exactly this. It doesn't replace what's working. It makes Postgres stay fast as AI-generated data piles up.
Hypertables partition your data automatically as volume grows. Hypercore compression cuts storage 10x. Continuous aggregates keep your dashboards live without re-querying everything. No pipeline. No second database. No migration.
Same Postgres. Same SQL. Just built to handle what AI features actually generate.
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