Qdrant vs. Weaviate

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Qdrant	N/A	N/A	Qdrant is a vector similarity search engine and database for AI applications. Along with open-source, Qdrant is also available in the cloud. It provides a production-ready service with an API to store, search, and manage points—vectors with an additional payload Qdrant is tailored to extended filtering support. It makes it useful for all sorts of neural-network or semantic-based matching, faceted search, and…	N/A
Weaviate	Score8 out of 10	N/A	Weaviate is an open-source vector database used to store data objects and vector embeddings from ML-models, and scale into billions of data objects, from the company of the same name in Amsterdam. Users can can index billions of data objects to search through, and combine multiple search techniques, such as keyword-based and vector search, to provide search experiences.	$0

Weaviate Cloud pricing is consumption-based. Add-on services are priced separately: Query Agent (free tier of 1,000 requests/month; $30/organization includes 4,000 requests, then usage-based) and Weaviate Embeddings (usage-based per token). Engram, Weaviate's agent-memory service, is a separate product with its own free and paid tiers.

Best Alternatives
	Qdrant	Weaviate
Small Businesses	MariaDB Platform Score9.1 out of 10	Astra DB, now part of IBM watsonx.data Score9.1 out of 10
Medium-sized Companies	PostgreSQL Score8.8 out of 10	Astra DB, now part of IBM watsonx.data Score9.1 out of 10
Enterprises	SQLite Score8 out of 10	No answers on this topic
All Alternatives	View all alternatives	View all alternatives

Qdrant vs. Weaviate

Qdrant

Weaviate

Add Product

Recommended Comparisons