Comparisons // Vector Databases
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Weaviate vs Qdrant: Vector Databases Comparison

VerdictWeaviate for hybrid search with self-hosted or managed options; Qdrant for performance-sensitive workloads with rich payload filtering.

Compare Weaviate and Qdrant for vector databases: pricing, licensing, hosting, pros, cons and which one fits your team.

Built from the StackVersus tool catalog: structured pricing models, licensing, hosting and editor-curated pros and cons. Last reviewed Oct 9, 2026. Spotted something out of date? Send a correction.

Updated Oct 9, 20263 min read433 wordsIntermediatePopularity 77/100
Hybrid search with self-hosted or managed optionsPerformance-sensitive workloads with rich payload filtering

Weaviate vs Qdrant: Head-to-Head Comparison

Quick Verdict

Weaviate is the better pick for hybrid search with self-hosted or managed options. Qdrant is the better pick for performance-sensitive workloads with rich payload filtering.


At a Glance

FeatureWeaviateQdrant
Best ForHybrid search with self-hosted or managed optionsPerformance-sensitive workloads with rich payload filtering
PricingFree open source; paid managed cloudFree open source; paid managed cloud
Free to StartYesYes
LicenseOpen sourceOpen source
DeploymentSelf-hosted or managed cloudSelf-hosted or managed cloud
LinkVisit WeaviateVisit Qdrant

Detailed Breakdown

Weaviate

Open-source AI-native vector database

Pros:

  • Built-in hybrid vector and keyword search
  • Modules for vectorization and generative search
  • Self-host or use Weaviate Cloud

Cons:

  • Memory-hungry at large scale
  • More configuration than fully managed options

Qdrant

High-performance vector search engine written in Rust

Pros:

  • Fast Rust core with low memory overhead
  • Powerful payload filtering
  • Quantization options to reduce memory

Cons:

  • Smaller ecosystem than older databases
  • Distributed mode requires tuning

Key Differences

  • Positioning: Weaviate — open-source AI-native vector database. Qdrant — high-performance vector search engine written in Rust.
  • Both share the same licensing model (open source), so the decision comes down to features and workflow fit.
  • Pricing: Weaviate — free open source; paid managed cloud. Qdrant — free open source; paid managed cloud.
  • Signature strength: Weaviate — built-in hybrid vector and keyword search. Qdrant — fast Rust core with low memory overhead.

Frequently Asked Questions

Is Weaviate better than Qdrant?

It depends on your requirements. Weaviate is a strong fit for hybrid search with self-hosted or managed options, while Qdrant suits performance-sensitive workloads with rich payload filtering.

Is Weaviate free to use?

Yes, you can start with Weaviate for free. Pricing model: Free open source; paid managed cloud.

Is Qdrant free to use?

Yes, you can start with Qdrant for free. Pricing model: Free open source; paid managed cloud.

Can I self-host Weaviate or Qdrant?

Weaviate can be self-hosted. Deployment options: self-hosted or managed cloud. Qdrant can be self-hosted. Deployment options: self-hosted or managed cloud.

What are the main drawbacks of Weaviate and Qdrant?

Weaviate: memory-hungry at large scale; more configuration than fully managed options. Qdrant: smaller ecosystem than older databases; distributed mode requires tuning.

Specification Matrix

The matrix is generated from the pros/cons in the article.

Frequently Asked Questions

Is Weaviate better than Qdrant?

It depends on your requirements. Weaviate is a strong fit for hybrid search with self-hosted or managed options, while Qdrant suits performance-sensitive workloads with rich payload filtering.

Is Weaviate free to use?

Yes, you can start with Weaviate for free. Pricing model: Free open source; paid managed cloud.

Is Qdrant free to use?

Yes, you can start with Qdrant for free. Pricing model: Free open source; paid managed cloud.

Can I self-host Weaviate or Qdrant?

Weaviate can be self-hosted. Deployment options: self-hosted or managed cloud. Qdrant can be self-hosted. Deployment options: self-hosted or managed cloud.

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