{
  "slug": "turbopuffer",
  "name": "turbopuffer",
  "url": "https://turbopuffer.com",
  "cat": "search",
  "group": "back",
  "tagline": "Object-storage vector + FTS DB",
  "price": "No free tier. Launch $16/mo minimum usage, Scale $256/mo minimum, Enterprise from $4,096/mo with a 35% usage premium. Usage-based charges accrue against the minimum.",
  "tier": "paid",
  "pick": false,
  "what": "A search database that keeps data on object storage such as S3, with memory and SSD caching in front — which is where its claim of roughly 10x lower cost than in-memory vector DBs comes from. Does vector and full-text search with filtering in one query, scaling a namespace to 256TB.",
  "why": "Built for the shape where you have millions of tenants who each search rarely — an idle namespace costs almost nothing. Anthropic, Notion, Linear and Grammarly run production search on it.",
  "warn": "No free tier and a <b>$16/mo floor</b>, so it is not a weekend-project database. Cold namespaces pay a first-query latency penalty while data loads from object storage.",
  "category": {
    "key": "search",
    "name": "Search, vector & RAG",
    "desc": "Keyword search, vector stores, and web-search APIs for agents — three different things.",
    "group": "back",
    "groupName": "Give it a backend"
  },
  "freshness": null,
  "health": {
    "ok": true,
    "status_code": 200,
    "final_url": "https://turbopuffer.com/",
    "checked_at": "2026-08-18T18:09:22.039+00:00"
  },
  "corrected_at": null,
  "upstream_changed_at": null
}