Turbopuffer

https://turbopuffer.com/

Object-storage-first vector DB. Powers Notion and Cursor. SPFresh indexing; ~10× cost reduction vs. memory-resident peers.

Active · Verified 2026-10-27 · fresh as of 2026-10-27 · 43 cited facts, 4 with a third-party source · 1 recorded change · Suggest a correction

At a glance

Tier
T1
Created
2023 vendor fix
Latest release
not applicable — not OSS fix
License
not applicable — not OSS fix
GitHub
not applicable — no GitHub repo fix
Funding
Seed+ · 2025-12 third-party fix
Freshness
2026-10-27 fix
Layer
model-infra repo fix
Licensing
commercial vendor fix
Deployment locus
cloud vendor fix
Platform vs product
platform vendor fix

When to use

Optimised for: low-latency similarity search + scale

Anti-fit: not for relational / graph-heavy queries (vector-first by design)

Pros & cons

Pros

Object-storage-backed vector DB at order-of-magnitude lower cost than peers; excellent for write-once-read-rarely memory.

Cons

Latency is higher than RAM-resident DBs; newer product with limited operational track record.

Claims & capabilities

Production scale: 3.5T+ documents, 10M+ writes/s, 25k+ queries/s; up to 100B vectors at 200ms P99; sub-10ms P50 latency; reports 95% cost reduction switching from traditional vector DBs (object-storage at $0.02/GB vs $0.60/GB); customers include Cursor, Notion, Linear, Anthropic; revenue 10x and headcount 5x in 2024–2025

Technical surface

API surface
REST, SDK: Python, TS, Go
Backend storage
custom (object-storage native vector engine)
Deployment
Managed-only — multi-tenant cloud; single-tenant and BYOC (in customer cloud) on Enterprise
Embedding model
BYO
Multi-tenancy
namespace
MCP
no first-party MCP adapter published as of 2026-05; community connectors may exist.
A2A
no Google A2A (Agent2Agent) integration documented as of 2026-05.
OpenTelemetry
no first-party OpenTelemetry exporter documented; standard logs/metrics typically available.

Similar systems

Other vector-database infrastructure in the catalog, ranked by inbound references.

  • Qdrant T1

    Distribution-Based Score Fusion + RRF. Sparse vectors native; filtering via ANN graph modification.

  • Chroma T1

    Limited native hybrid (users build RRF custom). Fast Rust core (v2.5). Acquired by Replit (definitive agreement announced 2026-10-23); Chroma Cloud is winding down (writes disabled 2026-11-22, reads disabled 2026-12-22) while open-source ChromaDB continues under Apache-2.0.

  • pgvector T1

    Stores embeddings alongside relational + full-text data. HNSW + IVFFlat ANN indexes. Used as agent conversation memory via LangChain + MCP. Foundation of Supabase AI and many self-hosted RAG stacks.

  • Weaviate T1

    Hybrid Search 2.0 with learned ranking. BM25 + vector in unified index.

  • Milvus T1

    Multi-vector columns (10 simultaneous). Native hybrid search (v2.5). CAGRA + Vamana GPU/CPU (v2.6).

  • Pinecone T1

    Managed vector DB. Cascading sparse + dense + rerank pipeline; pinecone-rerank-v0 .

Sources (42 cited facts, 4 third-party)

Each fact links to the page it came from; the badge says who published it (how to read sources).

What changed

Changes to this record's lifecycle, licence, release, pricing and hosting facts, from the catalog's git history. Subscribe (Atom)

  1. 2026-10-27
    • Pricing “Pay-per-use” → “Usage-based with monthly minimums: Launch $16/month, Scale $256/month, Enterprise from $4,096/month (35% usage premium); calculator rates storage up to $0.33/GB, writes up to $2.00/GB, queries up to $1.00/PB” source
    • Deployment “Hybrid” → “Managed-only — multi-tenant cloud; single-tenant and BYOC (in customer cloud) on Enterprise” source
    #274

Related systems

Referenced by (3)

  • LangChain (framework) integrates with — LangChain docs have a turbopuffer vector store integration page. (verified 2026-10-29)
  • Mastra integrates with — Mastra repo ships the @mastra/turbopuffer vector store package. (verified 2026-10-29)
  • Mem0 integrates with — Mem0 docs have a Turbopuffer vector store page for Mem0 open source. (verified 2026-10-29)