Head to head
Qdrant Cloud vs Turbopuffer
As a vector database API, Qdrant Cloud rates higher on the APIbenchmarks Index, 82.1 to 67.7, a 14.4-point gap. Here is how they compare on each criterion.
Criterion by criterion
| Criterion | Qdrant Cloud | Turbopuffer |
|---|---|---|
| Documentation & DX | ||
| Reliability | ||
| Ecosystem & SDKs | ||
| Accessibility | ||
| APIbenchmarks Index | 82.1 | 67.7 |
Specifications
| Qdrant Cloud | Turbopuffer | |
|---|---|---|
| Best for | High-performance open-source vector engine | Cheap serverless search on object storage |
| Free tier | 1GB RAM / 4GB disk cluster (~1M vectors), no card | No |
| Pricing | Resource-based (vCPU/RAM/disk) | Per GB queried/written + storage |
| Official SDKs | 8 languages | 6 languages |
Is Qdrant Cloud better than Turbopuffer?
On the APIbenchmarks Index, Qdrant Cloud rates higher (82.1 vs 67.7). It leads on the four weighted criteria, but price is reported separately, so the best choice still depends on your budget.
Verdict in one line
Qdrant Cloud leads by 14.4 points (82.1 vs 67.7) and wins 4 of 4 criteria.
Winner by criterion
| Criterion | Winner | ||
|---|---|---|---|
| Documentation & DX | 82 | 74 | |
| Reliability | 78 | 76 | |
| Ecosystem & SDKs | 80 | 58 | |
| Accessibility | 90 | 60 |
Choose Qdrant Cloud if… / choose Turbopuffer if…
- →documentation & dx matters most to you (82 vs 74)
- →reliability matters most to you (78 vs 76)
- →ecosystem & sdks matters most to you (80 vs 58)
- →accessibility matters most to you (90 vs 60)
- →you want a free tier to start (1GB RAM / 4GB disk cluster (~1M vectors), no card)
- →you need broad SDK coverage (8 official SDKs vs 6)
- →your use case matches its focus: high-performance open-source vector engine
- →your use case matches its focus: cheap serverless search on object storage
Pricing side by side
- Model
- Resource-based (vCPU/RAM/disk)
- Free tier
- 1GB RAM / 4GB disk cluster (~1M vectors), no card
- Free Tier$0 (free forever)
- Standard (Managed Cloud)Usage-based (resource billing for vCPU/RAM/disk)
- PremiumCustom / minimum spend required
- Hybrid CloudCustom (pricing on request)
- Private CloudCustom (pricing on request)
- Model
- Per GB queried/written + storage
- Free tier
- No
- Launch$16/mo minimum
- Scale$256/mo minimum
- Enterprise$4,096+/mo (≈35% usage premium)
Vendor-published pricing, verified 2026-06-27 (Qdrant Cloud) and 2026-06-27 (Turbopuffer).
SDK and language coverage
Both · 3
Python (qdrant-client)Go (go-client)Java (java-client)
Only Qdrant Cloud · 5
JavaScript/TypeScript (@qdrant/js-client-rest)Rust (qdrant-client).NET / C# (Qdrant.Client)REST APIgRPC API
Only Turbopuffer · 3
TypeScript / JavaScriptRubyHTTP REST API
Strengths and weaknesses
- +Among the fastest open-source vector engines, Rust core delivers highest RPS and lowest latency in benchmarks vs Weaviate, Milvus, Elasticsearch and Redis
- +Predictable resource-based pricing (pay for vCPU/RAM/disk, not per query), which stays flat regardless of search volume
- +Generous always-free 1GB managed tier with no credit card required
- –Weak built-in vector visualization / observability, the most consistently cited limitation across reviews
- –Learning curve is steep for teams new to vector databases
- –Free clusters are terminated after a period of inactivity (e.g., ~a week unused)
- +Object-storage-first architecture cuts storage cost to ~$20-70/TB/month versus ~$1,600/TB/month for RAM-resident incumbents
- +Warm query latency competitive with in-memory engines (~10ms p90 vector, ~18ms p90 BM25 on 1M docs)
- +Native hybrid search: dense + sparse vectors, BM25 full-text, attribute filtering, and regex via trigram indexes
- –High cold-query latency (~444ms p90) when a namespace isn't cached, bad for always-must-be-fast workloads
- –Relatively high write latency (~248ms p90 for 512KB upserts) due to object-storage durability path
- –No free tier and a monthly spend minimum, making pgvector cheaper for small/early projects
Qdrant Cloud vs Turbopuffer: questions
- Which has better documentation, Qdrant Cloud or Turbopuffer?
- Qdrant Cloud scores higher on documentation and developer experience: 82 vs 74 out of 100.
- Which is more reliable, Qdrant Cloud or Turbopuffer?
- Qdrant Cloud scores higher on reliability: 78 vs 76 out of 100.
- Do Qdrant Cloud and Turbopuffer have a free tier?
- Qdrant Cloud: yes (1GB RAM / 4GB disk cluster (~1M vectors), no card). Turbopuffer: no free tier.
- How are Qdrant Cloud and Turbopuffer priced?
- Qdrant Cloud: Resource-based (vCPU/RAM/disk). Turbopuffer: Per GB queried/written + storage.
- Which has more official SDKs?
- Qdrant Cloud lists 8 official SDKs, Turbopuffer lists 6.