Qdrant vs Weaviate: Which is Better in 2026?
Qdrant and Weaviate are the two leading open-source vector databases of 2026, and they’re often the final pairing once a team has decided against a closed managed service like Pinecone. Both are open-source, both self-host via Docker, and both offer managed cloud — so the choice is about character: Qdrant is the Rust-built speed-and-filtering specialist; Weaviate is the all-in-one platform with built-in vectorization and the best hybrid search.
If raw query performance and complex filtering top your list, Qdrant leads. If you want vectorization, hybrid search, and generative modules bundled into one system, Weaviate does more out of the box. Below: performance, filtering, modules/hybrid search, pricing, and operations.
Quick verdict
Both are excellent open-source choices. Pick Qdrant when you want maximum vector-search performance and the richest filtering — its Rust engine posts the lowest latencies in independent benchmarks and its filtered-HNSW keeps recall high under complex conditions, ideal for latency-sensitive production and agent memory. Pick Weaviate when you want an all-in-one platform: best-in-class hybrid search plus built-in vectorization and generative modules that reduce external tooling. In short: Qdrant for speed and filtering, Weaviate for a batteries-included RAG platform.
Qdrant vs Weaviate — Side by Side
| Qdrant | Weaviate | |
|---|---|---|
| Category | Vector Database / RAG | Vector Database / RAG |
| Pricing | Free | Free · paid from $45/mo |
| Starting price | Free tier available | Free tier available |
| Free tier | ||
| Rating | 4.7 | 4.6 |
| Best for | Vector Database / RAG — rag, open-source | Vector Database / RAG — rag, open-source |
Qdrant vs Weaviate: The Details That Matter
01Performance
Qdrant is built in Rust and it shows: it posts the lowest p50 latency of any purpose-built vector DB in 2026 (~4ms) and leads throughput on self-hosted setups (~850 QPS at p95 ~8ms on 1M vectors per its benchmarks). In Q1 2026 it added GPU-accelerated search.
Weaviate performs well and scales horizontally, but in pure single-node vector benchmarks Qdrant generally edges it out — the gap widening at scale and under complex filters. For many Weaviate users, hybrid-search quality matters more than topping raw-speed charts.
Qdrant wins raw latency and throughput (Rust + GPU search); Weaviate is fast enough but trades peak speed for platform breadth.
02Filtering & recall
Qdrant’s filtering is its signature: it builds filtered HNSW graphs rather than filtering after search, so nested, range, and geo conditions don’t degrade recall. That’s a real advantage for metadata-heavy retrieval and agent memory.
Weaviate supports filtering and is strong overall, but Qdrant’s filtered-graph approach is the more robust under restrictive, complex filters at low latency.
Qdrant’s filtered-HNSW keeps recall high under complex filters — its clearest edge over Weaviate.
03Built-in modules & hybrid search
Weaviate’s differentiator is breadth: built-in vectorization modules, generative feedback loops, and the best hybrid (vector + keyword/BM25) search in the category. You can embed and run generative steps inside the database, cutting external tooling — an all-in-one RAG platform.
Qdrant focuses on being the best pure vector engine and expects you to bring embeddings and your own generative pipeline. That’s leaner and faster but does more of the assembly on your side.
Weaviate bundles vectorization, hybrid search, and generative modules; Qdrant stays a lean, fast engine you wire into your own stack.
04Pricing
Both are free to self-host. Qdrant offers the best free tier — a 1GB free-forever cloud cluster — and bills only for the cluster (no per-query fees); self-hosted on a ~$30/mo VPS it handles 10M+ vectors, and Qdrant Cloud runs ~$65/mo at 10M. It’s widely rated the best price-performance in 2026.
Weaviate Cloud’s entry (Flex from ~$25–45/mo) is among the cheapest managed tiers to start, but tends to cost more than Qdrant at higher scale (~$135/mo at 10M vectors). Self-hosting is the lever to control Weaviate cost.
Both free to self-host; Qdrant generally wins price-performance and predictable cost at scale, Weaviate Cloud is cheap to start but pricier as you grow.
05Operations & momentum (2026)
Qdrant runs as a single binary or Docker image and is operationally light; Weaviate ships Docker images plus Kubernetes Helm charts for larger deployments. Both improved in Q1 2026 — Qdrant added GPU-accelerated search, Weaviate added BYOC enhancements.
Momentum-wise, Qdrant has become the open-source performance benchmark to beat, while Weaviate continues to lead on hybrid search and bundled modules. Both have healthy, growing communities.
Pros & Cons
- Fast (Rust) and memory-efficient
- Open-source, no lock-in
- Rich filtering for agent memory
- Cloud bills only for the cluster
- Self-hosting needs ops effort
- Smaller ecosystem than Pinecone
- Built-in vectorization modules
- Strong hybrid search
- Open-source core
- Good RAG ergonomics
- Cloud free usage is time-limited
- Cloud pricier than Qdrant/Pinecone at scale
Key Features Compared
Qdrant
- Open-source (self-host free)
- 1GB free-forever managed cluster
- Hybrid search
- Advanced payload filtering
Weaviate
- Open-source (self-host free)
- Built-in vectorizer modules
- Hybrid search
- GraphQL & REST APIs
Choose Qdrant if…
- You want the fastest pure vector search — Rust engine, lowest p50 latency, GPU-accelerated search.
- You need rich, complex filtering (nested, range, geo) without losing recall, e.g. agent memory.
- You want the best price-performance and predictable cost at scale, with a generous free tier.
- You’re happy to bring your own embeddings and want a lean, fast engine rather than a bundled platform.
Choose Weaviate if…
- You want an all-in-one platform: built-in vectorization, generative modules, and best-in-class hybrid search.
- You’d rather embed and run generative steps inside the database than wire up external tooling.
- You want Kubernetes-friendly deployment and BYOC options for running in your own cloud.
- Hybrid search quality matters more to you than topping raw-speed benchmarks.
Frequently Asked Questions
Is Qdrant better than Weaviate?⌄
Both are excellent open-source choices. Pick Qdrant when you want maximum vector-search performance and the richest filtering — its Rust engine posts the lowest latencies in independent benchmarks and its filtered-HNSW keeps recall high under complex conditions, ideal for latency-sensitive production and agent memory. Pick Weaviate when you want an all-in-one platform: best-in-class hybrid search plus built-in vectorization and generative modules that reduce external tooling. In short: Qdrant for speed and filtering, Weaviate for a batteries-included RAG platform.
What is the difference between Qdrant and Weaviate?⌄
Qdrant — High-performance open-source vector search engine with rich payload filtering — great for agent memory and RAG. Weaviate — Open-source vector database with built-in vectorization modules and hybrid search for RAG applications. Both are vector database / rag tools; the comparison table above breaks down pricing, free tiers, and what each is best for.
Qdrant vs Weaviate: which is cheaper?⌄
Qdrant pricing: Free. Weaviate pricing: Free · paid from $45/mo. Confirm current pricing on each tool's official site, as plans change.
Which is rated higher, Qdrant or Weaviate?⌄
In our catalog, Qdrant rates 4.7 out of 5 and Weaviate rates 4.6 out of 5, so Qdrant has a slight edge on reviews.
Is Qdrant or Weaviate faster?⌄
Qdrant, in independent 2026 benchmarks — its Rust engine posts the lowest p50 latency (~4ms) and higher throughput, with the gap widening at scale and under complex filters. Weaviate is fast enough for production but competes more on hybrid-search quality than peak speed.
Which has better hybrid search, Qdrant or Weaviate?⌄
Weaviate — its hybrid search (vector + BM25) is widely rated the best in the category, and its module system adds built-in vectorization. Qdrant supports hybrid retrieval but is designed as a lean, fast pure-vector engine you pair with your own pipeline.
Are both Qdrant and Weaviate open-source and free to self-host?⌄
Yes. Both are open-source and self-hostable via Docker (Weaviate also ships Kubernetes Helm charts; Qdrant runs as a single binary). Both also offer managed cloud — Qdrant Cloud has a 1GB free-forever cluster, Weaviate Cloud starts around $25–45/mo.
Which is better for agent memory and filtered retrieval?⌄
Qdrant, generally — its filtered-HNSW builds filtered graphs rather than post-filtering, keeping recall high under complex metadata conditions. Choose Weaviate if you’d rather have vectorization and hybrid search bundled in and filtering needs are simpler.
Research & sources · last verified June 2026
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