What are the key differences between Weaviate and Qdrant?

Compare Weaviate and Qdrant side by side on Lunoo to see detailed feature differences, AI scores, and expert analysis.

How are Weaviate and Qdrant scored?

Weaviate has an AI score of 8.1/10 and Qdrant has an AI score of 9.1/10. Scores are based on category fit, feature coverage, pricing signals, public reception, and recency.

Weaviate vs Qdrant 2026 - Compared

Weaviate

Qdrant

WINNER Qdrant

Qdrant edges ahead with a score of 9.1/10 compared to 8.1/10 for Weaviate. While both are highly rated in their respecti...

Weaviate

8.1 Very Good

Database Get Weaviate open_in_new

emoji_events WINNER

Qdrant

9.1 Excellent

Database Get Qdrant open_in_new

psychology AI Verdict

Qdrant edges ahead with a score of 9.1/10 compared to 8.1/10 for Weaviate. While both are highly rated in their respective fields, Qdrant demonstrates a slight advantage in our AI ranking criteria. A detailed AI-powered analysis is being prepared for this comparison.

emoji_events Winner: Qdrant

verified Confidence: Low

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description Overview

Weaviate

Weaviate is an open-source, cloud-native vector database that allows you to store and search vector embeddings. It combines graph and vector search capabilities, enabling semantic search and knowledge graph applications. Weaviate integrates seamlessly with machine learning models and provides a flexible data model for representing complex relationships. It's ideal for applications involving AI, ma...

Qdrant

Qdrant is a high-performance vector database written in Rust. It provides an efficient way to store and search vectors for AI applications. Qdrant stands out due to its focus on performance, ease of use, and ability to handle complex filtering alongside similarity searches. Its orchesterated architecture makes it highly scalable for production environments requiring real-time inference.