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Vector DBTurbopuffer

Turbopuffer

Object-storage-backed vector DB. Serverless economics at scale.

Category
Vector DB
Pricing
PAID
Hosting
Cloud
Platforms
API
Models
Model-agnostic
Verified
Jun 1, 2026

Bills like S3 — cold rest, warm reads, no per-namespace minimums. Designed for very-large, mostly-cold vector workloads where you can't justify keeping every index in RAM. Operated by Notion in production.

Capabilities 1

What it actually does — grouped by capability family.

  • Vector search (primary capability)

Pros & cons

  • S3-like billing: cold rest, warm reads
  • Scales to very large, cold corpora
  • No per-namespace minimums
  • Proven at Notion production scale
  • Cold reads have higher latency
  • Paid-only, no free self-host
  • API-only, no managed UI
  • Less mature ecosystem than peers

Tags

View all Vector DB
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    Vector DBFREEMIUM

    Pinecone

    Pinecone

    Fully-managed serverless vector database for RAG and semantic search.

    Fully-managed vector DB built for production RAG and semantic search at scale. Serverless pricing, low-latency reads, and integrations across every major framework, with no infrastructure to provision or operate.

    No infra to provision or operate
    No self-host option
    • managed
    • serverless
    • rag
    • semantic-search
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    Vector DBFREEMIUMOpen core

    Qdrant

    Qdrant

    Open-source, Rust-based vector DB. Fast, predictable, self-hostable.

    Vector database written in Rust with a strong focus on filtering, payloads, and predictable latency at scale. Self-host on a single binary or use the managed cloud.

    Open source, written in Rust
    More ops than fully-managed rivals
    • open-source
    • rust
    • self-hosted
    • fast
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    Weaviate

    Weaviate

    Open-source vector database with built-in vectorisers.

    Cloud-native vector DB that can compute embeddings inline — pass raw text in, store vectors out. Strong hybrid (BM25 + vector) search; self-hostable or managed.

    Hybrid BM25 + vector search
    Resource-heavy at large scale
    • open-source
    • self-hosted
    • hybrid-search
    • rag
  • View LanceDB details
    Vector DBFREEMIUMOpen core

    LanceDB

    LanceDB

    Embedded multimodal vector database on the Lance format.

    An open-source retrieval engine for AI built on the Lance columnar format. It runs in-process alongside your app — no separate server — and stores, indexes, and searches vectors, metadata, and multimodal data (text, images, video) with vector, full-text, and SQL queries. A managed enterprise lakehouse tier scales the same engine to petabytes.

    Embeds in your app; runs on edge/desktop
    Newer; smaller community than Qdrant/Milvus
    • vector-search
    • multimodal
    • embedded
    • lance
    • +1