Head to head

Turbopuffer vs Weaviate Cloud

As a vector database API, Weaviate Cloud rates higher on the APIbenchmarks Index, 79.6 to 67.7, a 11.9-point gap. Here is how they compare on each criterion.

Turbopuffer logo
Turbopuffer
Turbopuffer
C
67.7ABI / 100

Cheap serverless search on object storage

79.6ABI / 100

Hybrid search + AI-native query agents

Criterion by criterion

CriterionTurbopufferWeaviate Cloud
Documentation & DX
74
84
Reliability
76
80
Ecosystem & SDKs
58
80
Accessibility
60
72
APIbenchmarks Index67.779.6

Specifications

TurbopufferWeaviate Cloud
Best forCheap serverless search on object storageHybrid search + AI-native query agents
Free tierNo14-day sandbox only (auto-expires), no permanent free
PricingPer GB queried/written + storageUsage-based (dimensions + storage)
Official SDKs6 languages7 languages

Is Turbopuffer better than Weaviate Cloud?

On the APIbenchmarks Index, Weaviate Cloud rates higher (79.6 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

Weaviate Cloud leads by 11.9 points (79.6 vs 67.7) and wins 4 of 4 criteria.

Winner by criterion

CriterionTurbopuffer logoTurbopufferWeaviate Cloud logoWeaviate CloudWinner
Documentation & DX7484Weaviate Cloud logoWeaviate Cloud
Reliability7680Weaviate Cloud logoWeaviate Cloud
Ecosystem & SDKs5880Weaviate Cloud logoWeaviate Cloud
Accessibility6072Weaviate Cloud logoWeaviate Cloud
Turbopuffer vs Weaviate Cloud API comparison: ABI 67.7 vs 79.6; documentation & dx 74 vs 84, reliability 76 vs 80, ecosystem & sdks 58 vs 80, accessibility 60 vs 72.
Turbopuffer vs Weaviate Cloud API comparison: ABI 67.7 vs 79.6; documentation & dx 74 vs 84, reliability 76 vs 80, ecosystem & sdks 58 vs 80, accessibility 60 vs 72.

Choose Turbopuffer if… / choose Weaviate Cloud if…

Turbopuffer logoChoose Turbopuffer if
  • →your use case matches its focus: cheap serverless search on object storage
Weaviate Cloud logoChoose Weaviate Cloud if
  • →documentation & dx matters most to you (84 vs 74)
  • →reliability matters most to you (80 vs 76)
  • →ecosystem & sdks matters most to you (80 vs 58)
  • →accessibility matters most to you (72 vs 60)
  • →you want a free tier to start (14-day sandbox only (auto-expires), no permanent free)
  • →you need broad SDK coverage (7 official SDKs vs 6)
  • →your use case matches its focus: hybrid search + ai-native query agents

Pricing side by side

Turbopuffer logoTurbopuffer
Model
Per GB queried/written + storage
Free tier
No
  • Launch$16/mo minimum
  • Scale$256/mo minimum
  • Enterprise$4,096+/mo (≈35% usage premium)
Weaviate Cloud logoWeaviate Cloud
Model
Usage-based (dimensions + storage)
Free tier
14-day sandbox only (auto-expires), no permanent free
  • Free / Sandbox$0
  • Flexfrom $45/mo
  • Premium (Shared)from $400/mo
  • Premium Dedicatedfrom $400/mo
  • Enterprise / BYOCCustom

Vendor-published pricing, verified 2026-06-27 (Turbopuffer) and 2026-06-27 (Weaviate Cloud).

SDK and language coverage

Both · 3
PythonGoJava
Only Turbopuffer · 3
TypeScript / JavaScriptRubyHTTP REST API
Only Weaviate Cloud · 4
JavaScript / TypeScript (v3 client)GraphQL APIREST APIgRPC API

Strengths and weaknesses

Turbopuffer logoTurbopuffer
  • +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
Weaviate Cloud logoWeaviate Cloud
  • +Native hybrid search (HNSW vector + BM25 keyword) with a single query, a standout vs index-only competitors
  • +Strong, transparent published ANN benchmarks (e.g. 98.35% recall@10 at ~10,940 QPS on SIFT1M)
  • +Built-in vectorizer and generative modules (OpenAI, Cohere, Hugging Face) plus bundled Weaviate Embeddings and Agents
  • –Managed cost scales steeply, tens of millions of high-dimensional vectors can run into thousands of dollars per month
  • –Pricing model is hard to estimate; metering jargon (vector dimensions, AIUs) makes budgeting difficult, a frequent Reddit/G2 complaint
  • –Advanced operations (sharding, schema design, replication tuning) have a steep learning curve for beginners

Turbopuffer vs Weaviate Cloud: questions

Which has better documentation, Turbopuffer or Weaviate Cloud?
Weaviate Cloud scores higher on documentation and developer experience: 84 vs 74 out of 100.
Which is more reliable, Turbopuffer or Weaviate Cloud?
Weaviate Cloud scores higher on reliability: 80 vs 76 out of 100.
Do Turbopuffer and Weaviate Cloud have a free tier?
Turbopuffer: no free tier. Weaviate Cloud: yes (14-day sandbox only (auto-expires), no permanent free).
How are Turbopuffer and Weaviate Cloud priced?
Turbopuffer: Per GB queried/written + storage. Weaviate Cloud: Usage-based (dimensions + storage).
Which has more official SDKs?
Weaviate Cloud lists 7 official SDKs, Turbopuffer lists 6.

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