qdrant-client vs weaviate

Common questions

What is the difference between qdrant-client and weaviate?

qdrant-client: Python client for Qdrant vector search engine. weaviate: Open-source vector database for storing objects and vectors with structured filtering. See the comparison table for live GitHub stats and shared categories.

When should I choose qdrant-client over weaviate?

Choose qdrant-client over weaviate when qdrant-client is primarily Python; weaviate is Go; License: qdrant-client is Apache-2.0, weaviate is BSD-3-Clause; Weaviate is an open-source vector database providing scalable semantic search, making it a direct alternative to Qdrant for similar functionalities; Tags unique to qdrant-client: qdrant, vector-database, vector-search, vector-search-engine; - You are working on applications that require efficient management and querying of high-dimensional vectors, such as embeddings from natural language processing tasks.

When should I choose weaviate over qdrant-client?

Choose weaviate over qdrant-client when weaviate is primarily Go; qdrant-client is Python; License: weaviate is BSD-3-Clause, qdrant-client is Apache-2.0; Requirements: Requires Docker; Deployment on Docker requires a Docker environment.; For cloud deployments, compatible environments such as AWS, GCP require associated accounts and configurations.; Weaviate is an open-source vector database providing scalable semantic search, making it a direct alternative to Qdrant for similar functionalities; Tags unique to weaviate: approximate-nearest-neighbor-search, grpc, hybrid-search, information-retrieval; Also covers Data & Retrieval; weaviate ships Docker support for self-hosted deployment; When you need to integrate both vector search capabilities and traditional SQL-like structured queries into your application.

When should I avoid qdrant-client?

- You require cross-language support beyond Python for your vector database operations. - Your application does not benefit from or does not need the distributed architecture Qdrant offers, preferring instead centralized vector storage methods.

When should I avoid weaviate?

If your project requires a proprietary license; Weaviate's open-source nature may not align with restrictive licensing needs. When you need immediate access to specific vector embedding models that are not natively supported by Weaviate, without the flexibility of integrating additional models via Docker or Kubernetes.

Is qdrant-client or weaviate more popular on GitHub?

weaviate has more GitHub stars (16,681 vs 1,346). Stars measure visibility, not whether either tool fits your constraints.

Are qdrant-client and weaviate open source?

Yes - both are open-source projects on GitHub (qdrant-client: Apache-2.0, weaviate: BSD-3-Clause).

Where can I find alternatives to qdrant-client or weaviate?

GraphCanon lists graph-backed alternatives at qdrant-client alternatives and weaviate alternatives (qdrant-client markdown twin, weaviate markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

Which is better maintained, qdrant-client or weaviate?

qdrant-client: Very active. weaviate: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.

Where are the full trust reports for qdrant-client and weaviate?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: qdrant-client trust report; weaviate trust report.