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Qdrant vs sqlite-vec

A side-by-side comparison of Qdrant and sqlite-vec, two Vector DB tools, drawn from Ignaite's continuously-verified listings.

Compared from listings verified as of

Qdrant

Vector DB

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

View Qdrant

sqlite-vec

Vector DB

Vector search as a zero-dependency SQLite extension.

View sqlite-vec

At a glance

Feature comparison of Qdrant and sqlite-vec
AttributeQdrantsqlite-vec
CategoryVector DBVector DB
Pricing (differs)FREEMIUMFREE
License (differs)Open coreOpen source
Deployment (differs)HybridLocal
PlatformsAPIAPI
Model supportModel-agnosticModel-agnostic
Vendor (differs)QdrantAlex Garcia
Capabilities (differs)
  • Vector search
  • Embeddings
  • RAG pipeline
  • Recommendation engine
  • Vector search

The honest brief

Qdrant

Rust single-binary you can self-host, with payload filtering strong enough that teams pick it for metadata-heavy search.

  • Open source, written in Rust
  • Self-host or managed cloud
  • Strong payload/metadata filtering
  • Predictable latency at scale
  • More ops than fully-managed rivals
  • Smaller ecosystem than Pinecone
  • Advanced features lean on managed cloud

sqlite-vec

Embeds vector search inside the SQLite file itself, so RAG can run fully local — in the browser via WASM or on a Raspberry Pi — with no server.

  • Zero dependencies, pure C
  • Runs anywhere SQLite runs
  • Bindings for Python, JS, Ruby, Go, Rust
  • Local-first, no server needed
  • MIT / Apache 2.0 licensed
  • Exhaustive (brute-force) search, not ANN
  • Not built for very large datasets
  • Single-node, embedded only

When to pick which

Across the signals we compare, Qdrant and sqlite-vec differ on pricing, license, and deployment:

Pricing
FREEMIUM · FREE
License
Open core · Open source
Deployment
Hybrid · Local

Their capability lists differ in recorded depth — compare the full lists above before deciding.

Qdrant detailssqlite-vec detailsAll Vector DB apps