vs

Qdrant vs USearch

Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. USearch: Single-header C++ HNSW library with SIMD distance kernels and bindings for a dozen languages.

key differences

  • Horizontal scaling is native in Qdrant and manual in USearch.
  • Only Qdrant has secondary indexes, full-text search, geospatial, json, durable persistence.
  • Only USearch has in-memory, runs in webassembly.
  • USearch can run embedded in your application process.

choose qdrant for

  • +RAG retrieval with metadata filtering
  • +Recommendation and similarity search
  • +Image and multimodal search
  • +Multi-tenant semantic search

best at · Vector search, RAG

choose usearch for

  • +Embedding ANN search into a database or application
  • +On-device semantic search on mobile
  • +Fast similarity joins and clustering in data pipelines

best at · Vector search, Embedded, Edge

overview
Primary model
Vector
Vector
Also supports
Document
–
Type
Database engine
Embedded library
Status
Active
Active
Developer
Qdrant Solutions GmbH
Unum Cloud
First release
2021
2023
Latest version
1.20.0 (Oct 22, 2026)
2.26.6 (Oct 25, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
35.9
23.1
Rank
#55
#132
GitHub stars
35.3K
4.4K
Stack Overflow questions
60
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Manual
Multi-region
None
None
ACID
None
None
Consistency
Tunable, Eventual
Strong
Schema
Schemaless
Schemaless
Architecture
Distributed, Client server
Embedded, In memory
deployment
Self-hosted
✓
✓
Vendor-managed cloud
✓
—
Serverless
—
—
Embedded
—
✓
Edge
—
✓
Clouds
AWS, Google Cloud, Azure
–
capabilities
Transactions
—
—
Joins
—
—
Secondary indexes
✓
—
Full-text search
✓
—
Vector search
✓
✓
Geospatial
✓
—
JSON
✓
—
Change data capture
—
—
Triggers
—
—
Stored procedures
—
—
Materialized views
—
—
TTL / expiry
—
—
Pub/Sub
—
—
Columnar storage
—
—
In-memory
—
✓
Durable persistence
✓
—
Compression
✓
✓
Encryption at rest
—
—
Role-based access
✓
—
Time travel
—
—
Branching
—
—
Online schema changes
—
—
Streaming ingest
—
—
Offline sync
—
—
Runs in WebAssembly
—
✓
interfaces
Query languages
Qdrant Query API (JSON filters)
Library API
Client languages
Python, JavaScript, Rust, Go, Java, .NET
C++, C, Python, JavaScript, Rust, Java, Go, C#
Best for
Vector search, RAG
Vector search, Embedded, Edge

Qdrant vs USearch: FAQ

What is the difference between Qdrant and USearch?

Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. USearch: Single-header C++ HNSW library with SIMD distance kernels and bindings for a dozen languages. Horizontal scaling is native in Qdrant and manual in USearch. Only Qdrant has secondary indexes, full-text search, geospatial, json, durable persistence. Only USearch has in-memory, runs in webassembly.

When should I choose Qdrant over USearch?

Choose Qdrant for RAG retrieval with metadata filtering; recommendation and similarity search; and image and multimodal search. Choose USearch for embedding ANN search into a database or application; on-device semantic search on mobile; and fast similarity joins and clustering in data pipelines.

Is Qdrant or USearch more popular?

Qdrant ranks #55 on the WhichDB Score (35.9/100) and USearch ranks #132 (23.1/100). Popularity is not fit: check the requirements that matter for your project.

Are Qdrant and USearch open source?

Yes. Qdrant is open source. License: Apache License 2.0. Yes. USearch is open source. License: Apache License 2.0.