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Qdrant vs Vespa

A side-by-side comparison of pricing, ratings, features, pros and cons.

Qdrant
QdrantQdrantFreemium
Vespa
VespaVespa.ai ASFreemium
DescriptionQdrant is open source vector similarity search engine with extended filtering support, written in Rust.search and recommendation with vector support.
Category
DeveloperQdrantVespa.ai AS
Verified StatusNoNo
Last UpdatedAug 2026Aug 2026
Pricing ModelFreemiumFreemium
Free PlanNoNo
Free TrialNoNo
Open SourceNoNo
API AccessNoNo
Features
Native hybrid search (dense + sparse vectors)
Advanced metadata filtering (nested, text, geo)
Quantization reducing memory usage up to 64x
Real-time indexing
Open source (30k+ GitHub stars), self-hostable
Managed Qdrant Cloud with a free tier
Unified retrieval, ranking, and ML inference engine
Hybrid vector + text search across billions of items
Streaming search mode for cost-efficient personal data
Continuous, zero-downtime deployment
Open source, self-hostable or managed via Vespa Cloud
Production-proven at Spotify, Yahoo, Perplexity
Tags
qdrantopensourcevectorsimilaritysearch
vespasearchrecommendationvectorsupport
Review Count00
Saves00
Views810
Quality Score33/10037/100
Website StatusOnlineOnline
Websiteqdrant.techvespa.ai
Social Links3 linked3 linked
ScreenshotsNoNo
Pros
Free to use
Free to use

Who Should Choose Each Tool?

Choose Qdrant if:

  • Free to use

Choose Vespa if:

  • Free to use

Frequently Asked Questions

Both tools are closely matched on rating — the better fit depends on your specific needs. See the full feature and pricing comparison above.

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