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Qdrant vs Vespa

A side-by-side comparison of Qdrant and Vespa, 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

Vespa

Vector DB

Open-source serving engine for vector, lexical, and structured search at scale.

View Vespa

At a glance

Feature comparison of Qdrant and Vespa
AttributeQdrantVespa
CategoryVector DBVector DB
PricingFREEMIUMFREEMIUM
LicenseOpen coreOpen core
DeploymentHybridHybrid
Platforms (differs)APIAPI, CLI, Linux
Model supportModel-agnosticModel-agnostic
Vendor (differs)QdrantVespa.ai

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

Vespa

Combines vector, lexical and structured search plus ML inference in one query, distributed across nodes at web scale.

  • Vector + lexical + structured in one query
  • Battle-tested at Yahoo scale
  • Apache-2.0, fully self-hostable
  • In-engine ML model inference
  • Vespa Cloud Enclave runs in your VPC
  • Steep learning curve
  • Operationally heavy to self-host
  • Overkill for simple vector search
  • Smaller community than Elastic