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Weaviate vs Qdrant

A side-by-side comparison from 41 GitHub-verified developers who shipped production code on both platforms.

Weaviate
8.5
21 reviewers
Qdrant
8.7
20 reviewers
TL;DR — The Verdict

Weaviate wins on ecosystem and module flexibility; Qdrant wins on raw single-node performance and lower hosting cost. Both production-grade self-host options — Qdrant for performance-per-dollar, Weaviate for module flexibility.

Benchmark Comparison

Metric Weaviate Qdrant
Single-node throughput Strong Best-in-class
Memory footprint Moderate Low (Rust)
Module ecosystem Yes (transformers, rerank) No
GraphQL API Yes No
gRPC API Yes Yes (primary)
OSS commitment Strong Strong
LangChain integration Mature Mature
Cluster mode complexity Moderate Higher

Operational Verdicts

For best performance per dollar
Qdrant wins

Qdrant's Rust foundation means lower memory profiles and higher single-node throughput. Reviewers report 30% faster queries than Weaviate on identical hardware. At >100M vectors the savings compound.

For module-based architectures (in-DB embeddings/rerank)
Weaviate wins

Weaviate's module system bundles embedding generation, reranking, and storage in one query. Qdrant keeps these concerns separate. For teams that value architectural cohesion, Weaviate wins.

For complex query patterns (filter + vector + GraphQL)
Weaviate wins

Weaviate's GraphQL API enables expressive queries that Qdrant's gRPC requires more code to match. For teams with rich filter patterns and complex schemas, Weaviate's API ergonomics matter.

Reviewer Voices

Pro Weaviate

"Helm chart that doesn't fight us."

— @k8s_native · Platform Engineer

"Module system is the unfair advantage."

— @rag_arch · ML Architect
Pro Qdrant

"gRPC + Rust is the production combo."

— @rust_native · Backend Engineer

"30% faster queries on the same hardware."

— @cost_engineer · Platform Engineer