vs

Qdrant vs Vald

Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. Vald: Kubernetes-native distributed vector search engine built on Yahoo Japan's NGT.

key differences

  • Only Qdrant has secondary indexes, full-text search, geospatial, json, compression.

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 vald for

  • +Large-scale image or embedding similarity search on Kubernetes
  • +Recommendation candidate retrieval
  • +Internal ANN services

best at · Vector search

overview
Primary model
Vector
Vector
Also supports
Document
–
Type
Database engine
Database engine
Status
Active
Active
Developer
Qdrant Solutions GmbH
LY Corporation (vdaas)
First release
2021
2020
Latest version
1.20.0 (Oct 22, 2026)
1.8.0 (Aug 26, 2026)
License
Open source (permissive)Apache License 2.0
Open source (permissive)Apache License 2.0
Free tier
✓
✓
popularity
WhichDB Score
35.9
5.6
Rank
#55
#382
GitHub stars
35.3K
1.7K
Stack Overflow questions
60
–
scale & guarantees
Comfortable data size
Large (≤ 1 PB)
Large (≤ 1 PB)
Horizontal scaling
Native
Native
Multi-region
None
None
ACID
None
None
Consistency
Tunable, Eventual
Eventual
Schema
Schemaless
Schemaless
Architecture
Distributed, Client server
Distributed, Client server
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)
Vald gRPC API
Client languages
Python, JavaScript, Rust, Go, Java, .NET
Go, Java, Python, Node.js
Best for
Vector search, RAG
Vector search

Qdrant vs Vald: FAQ

What is the difference between Qdrant and Vald?

Qdrant: Rust vector search engine with rich payload filtering, quantization and a managed cloud. Vald: Kubernetes-native distributed vector search engine built on Yahoo Japan's NGT. Only Qdrant has secondary indexes, full-text search, geospatial, json, compression.

When should I choose Qdrant over Vald?

Choose Qdrant for RAG retrieval with metadata filtering; recommendation and similarity search; and image and multimodal search. Choose Vald for large-scale image or embedding similarity search on Kubernetes, recommendation candidate retrieval and internal ANN services.

Is Qdrant or Vald more popular?

Qdrant ranks #55 on the WhichDB Score (35.9/100) and Vald ranks #382 (5.6/100). Popularity is not fit: check the requirements that matter for your project.

Are Qdrant and Vald open source?

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