APIbenchmarks

Category report · 7 providers evaluated

Best Vector Database APIs

Vector database APIs power semantic search, RAG, and AI memory by storing and querying high-dimensional embeddings. The category splits into purpose-built managed services (Pinecone, Weaviate, Qdrant, Zilliz/Milvus, Chroma, Turbopuffer) and vector capabilities bolted onto general databases (pgvector via Supabase, MongoDB Atlas). Compare on documentation/DX quality, reliability (published SLAs and proven scale), SDK/ecosystem breadth, and how fast a developer or AI agent can self-serve a working API key. Pricing models diverge sharply: usage-based per read/write/storage units (Pinecone, Turbopuffer, Chroma), resource-based vCPU/RAM (Qdrant), compute-unit (Zilliz), or bundled into a broader DB plan (Supabase, MongoDB).

Pinecone logo
Highest rated
Pinecone

Serverless vector search for production RAG

87.5
ABI
A
VerdictWhat is the best vector database API?The short answer, plus which provider wins on each axis.Read the verdict →

What is the best Vector Database API?

#ProviderDocumentationReliabilityEcosystemAccessibilityABIFree
1Pinecone logoPineconePinecone Systems9088829087.5AYes
2MongoDB Atlas Vector Search logoMongoDB Atlas Vector SearchMongoDB8590888086.0AYes
3Zilliz Cloud (Milvus) logoZilliz Cloud (Milvus)Zilliz8288858885.4AYes
4Supabase Vector (pgvector) logoSupabase Vector (pgvector)Supabase8680849285.2AYes
5Qdrant Cloud logoQdrant CloudQdrant8278809082.1BYes
6Weaviate Cloud logoWeaviate CloudWeaviate8480807279.6BYes
7Turbopuffer logoTurbopufferTurbopuffer7476586067.7CNo

Table 1. Best Vector Database APIs ranked by the APIbenchmarks Index. Specification columns are vendor-stated; ABI is computed per the published methodology.

Composite scores

Pinecone
87.5
MongoDB Atlas Vector Search
86.0
Zilliz Cloud (Milvus)
85.4
Supabase Vector (pgvector)
85.2
Qdrant Cloud
82.1
Weaviate Cloud
79.6
Turbopuffer
67.7
Scale 0–100. Highest in category: 87.5.

Figure 1. APIbenchmarks Index for Vector Database APIs, bar length proportional to composite score; colour encodes letter grade.

Provider scorecards

Pinecone logo
1. PineconeAABI 87.5 · Excellent

The category-defining managed serverless vector DB with the most polished docs and pay-per-operation billing.

Documentation & DX
90
Reliability
88
Ecosystem & SDKs
82
Accessibility
90
MongoDB Atlas Vector Search logo
2. MongoDB Atlas Vector SearchAABI 86.0 · Excellent

Vector search native to Atlas, letting teams add embeddings to an existing operational DB with no new service.

Documentation & DX
85
Reliability
90
Ecosystem & SDKs
88
Accessibility
80
Zilliz Cloud (Milvus) logo
3. Zilliz Cloud (Milvus)AABI 85.4 · Excellent

Fully managed Milvus with a generous permanent free tier, 99.95% SLA, and massive open-source lineage.

Documentation & DX
82
Reliability
88
Ecosystem & SDKs
85
Accessibility
88
Supabase Vector (pgvector) logo
4. Supabase Vector (pgvector)AABI 85.2 · Excellent

pgvector bundled free into the Supabase Postgres stack, ideal for teams keeping embeddings beside relational data.

Documentation & DX
86
Reliability
80
Ecosystem & SDKs
84
Accessibility
92
Qdrant Cloud logo
5. Qdrant CloudBABI 82.1 · Strong

Rust-built engine with predictable resource-based pricing, a free always-on cluster, and strong filtering.

Documentation & DX
82
Reliability
78
Ecosystem & SDKs
80
Accessibility
90
Weaviate Cloud logo
6. Weaviate CloudBABI 79.6 · Strong

Feature-rich vector DB with hybrid search and agentic query tooling, but only a 14-day free sandbox.

Documentation & DX
84
Reliability
80
Ecosystem & SDKs
80
Accessibility
72
Turbopuffer logo
7. TurbopufferCABI 67.7 · Solid

Object-storage-first serverless search powering Cursor and Notion, extremely cheap at scale but no free tier.

Documentation & DX
74
Reliability
76
Ecosystem & SDKs
58
Accessibility
60

Frequently asked questions

What is the best Vector Database API?
By the APIbenchmarks Index, Pinecone rates highest (ABI 87.5, grade A). Serverless vector search for production RAG The ABI weights documentation, reliability, ecosystem, and accessibility; price is reported separately, so the right pick still depends on your budget and workload.
Which vector database APIs have a free tier?
Pinecone, MongoDB Atlas Vector Search, Zilliz Cloud (Milvus), Supabase Vector (pgvector), Qdrant Cloud, Weaviate Cloud offer a free tier or trial credits.
How is the APIbenchmarks Index calculated?
The ABI is a weighted composite of four dimensions scored on absolute reference scales: documentation & DX (30%), reliability (25%), ecosystem & SDKs (25%), and accessibility (20%). Price is excluded from the composite because price units are not comparable across categories. The full formula is on the methodology page.

Popular comparisons

Pinecone vs MongoDB Atlas Vector SearchPinecone vs Zilliz Cloud (Milvus)Pinecone vs Supabase Vector (pgvector)MongoDB Atlas Vector Search vs Zilliz Cloud (Milvus)MongoDB Atlas Vector Search vs Supabase Vector (pgvector)Zilliz Cloud (Milvus) vs Supabase Vector (pgvector)

References

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  10. https://www.mongodb.com/products/platform/atlas-vector-search
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  19. https://zilliz.com/pricing
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  22. https://leanopstech.com/blog/milvus-zilliz-cloud-pricing-2026/
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  24. https://www.g2.com/products/milvus/reviews
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  26. https://github.com/zilliztech/VectorDBBench
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  35. https://news.ycombinator.com/item?id=35554045
  36. https://supabase.com/docs/guides/ai/automatic-embeddings
  37. https://qdrant.tech/pricing/
  38. https://qdrant.tech/benchmarks/
  39. https://qdrant.tech/benchmarks/single-node-speed-benchmark/
  40. https://status.qdrant.io/
  41. https://cloud.qdrant.io/sla
  42. https://qdrant.tech/documentation/interfaces/
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  45. https://www.producthunt.com/products/qdrant/reviews
  46. https://weaviate.io/pricing
  47. https://weaviate.io/blog/weaviate-cloud-pricing-update
  48. https://docs.weaviate.io/weaviate/benchmarks/ann
  49. https://docs.weaviate.io/weaviate/client-libraries
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  51. https://www.eesel.ai/blog/weaviate-pricing
  52. https://aws.amazon.com/marketplace/pp/prodview-27nbweprm7hha
  53. https://turbopuffer.com/pricing
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  55. https://turbopuffer.com/docs
  56. https://turbopuffer.com/docs/pricing-log
  57. https://github.com/turbopuffer/turbopuffer-typescript
  58. https://github.com/turbopuffer/turbopuffer-go
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  61. https://www.modern-datatools.com/tools/turbopuffer