Weaviate vs Qdrant
A side-by-side comparison from 41 GitHub-verified developers who shipped production code on both platforms.
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
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.
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.
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
"Helm chart that doesn't fight us."
"Module system is the unfair advantage."
"gRPC + Rust is the production combo."
"30% faster queries on the same hardware."