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Qdrant vs TopK

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

TopK

Vector DB

Retrieval engine with hybrid search, multi-vector, and custom ranking in one query.

View TopK

At a glance

Feature comparison of Qdrant and TopK
AttributeQdrantTopK
CategoryVector DBVector DB
PricingFREEMIUMFREEMIUM
License (differs)Open coreProprietary
DeploymentHybridHybrid
Platforms (differs)APIAPI, CLI
Model supportModel-agnosticModel-agnostic
Vendor (differs)QdrantTopK

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

TopK

One query spans vector, keyword, and multi-vector search with custom ranking — no separate search + vector + reranker stack to stitch together.

  • Serverless, no infra to manage
  • Runs in your own VPC (BYOC)
  • Built-in embedding/OCR inference
  • Low latency at billion-doc scale
  • SDKs for Python, JS, Rust + MCP
  • Newer, smaller ecosystem than peers
  • No open-source self-host
  • Developer/API-first, no managed UI
  • Smaller community vs Pinecone/Qdrant