Why is my AI assistant so slow?

Old databases choke on agent query bursts—switch to real-time OLAP for sub-second responses.

Is Postgres + ClickHouse the best for AI agents?

It's the scaling default: transactions in Postgres, analytics in ClickHouse handle concurrency without breaking the bank.

Will AI fix observability data issues?

No—AI needs rich, retained data first; upgrade to wide-columnar stores or agents stay blind.

🗄️ Databases & Backend

Database Mismatch: The Real Culprit Behind Sluggish AI Assistants

That frustrating pause when your AI assistant chokes on a simple question? It's not the model—it's your creaky data platform buckling under agent workloads.

DevTools Feed Apr 03, 2026 3 min read 11 views

AI agent querying database with latency spikes visualized as bursting graphs

⚡ Key Takeaways

AI agents generate query bursts that overwhelm traditional data warehouses, causing latency. 𝕏
Postgres + columnar OLAP like ClickHouse is emerging as the default stack for agentic AI. 𝕏
Observability and analytics converge on unified, high-concurrency platforms to support AI workflows. 𝕏

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#AI agents #Postgres OLAP #database workloads #observability 2.0

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Originally reported by The NewStack

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