Stick with Qdrant if you want free self-hosting, but Weaviate (from $65/mo) is better for GraphQL. Switch to Pinecone if you need a fully managed, serverless setup.
Independently verified metrics. Sources: ANN-Benchmarks, vendor documentation. Verified 2026.
| Tool | QPS @ 1M vecs | P99 Latencyms | Recall@10% | Index Builds/1M |
|---|---|---|---|---|
| Qdrant (this) | 8,000 | 8 | 99.5% | 180 |
| Pinecone | 5,000 | 12 | 99% | - |
| Weaviate | 7,000 | 10 | 99.2% | 220 |
| Zilliz Cloud | 12,000 | 5 | 98.8% | 150 |
Alternatives are not always the right move. Qdrant remains strong in these scenarios.
9 vector databases evaluated. Key factors: indexing speed, query latency, and integration with LLM frameworks.
Expert Take
Qdrant works well when you need low tail latencies for high-recall vector search or want to run a large database locally at no cost. The friction starts when encountering setup complexities, such as client timeout issues during initial collection creation due to sparse documentation. Before buying, compare vs Pinecone, which abstracts away the infrastructure and scaling complexities entirely as a fully managed service.
Oleh KemFounder & Lead AnalystManaged vector database for AI applications with embedding storage, similarity search, and metadata filtering.. Rated 4.7/5 vs 4.6/5 for Qdrant.
Open-source vector database with multi-modal search, structured filtering, and built-in vectorization.. Rated 4.7/5 vs 4.6/5 for Qdrant.
Managed vector database integrated into Databricks, storing embeddings alongside Delta Lake tables.. Rated 4.7/5 vs 4.6/5 for Qdrant.
Managed MongoDB cloud service with built-in vector search on AWS, Azure, and GCP.. Starts cheaper at $57/mo vs $65/mo.
Elasticsearch vector search with HNSW dense vector fields and k-NN search, available from v8.0+.. Priced higher at $99/mo vs $65/mo.
Milvus is an open-source vector database designed for billion-scale similarity search, maintained by Zilliz.. Priced higher at $126/mo vs $65/mo.
Vector similarity search built into Redis using HNSW and FLAT indexes for real-time embedding retrieval at low latency.. Priced higher at $200/mo vs $65/mo.
An open-source, developer-first embedding database for building and testing AI applications with minimal setup.. Qdrant edges it on ratings (4.6 vs 4.3/5).
Showing 8 of 9 alternatives
Qdrant compared against all 9 vector databases alternatives. Pricing, free plan availability, rating, and vector databases-specific capabilities.
| Tool | Price | Free Plan | Rating |
|---|---|---|---|
 | $65/mo | 4.5G2 | |
 | $20/mo | 4.6G2 | |
 | $45/mo | 4.6G2 | |
| Custom | No | 4.6G2 |
| $57/mo | 4.5G2 | |
| $99/mo | 4.5G2 | |
| $126/mo | 4.4G2 | |
| $200/mo | 4.4G2 | |
 | $250/mo | 4.2G2 | |
 | Free | 3.8G2 |
Choose Pinecone if you need easiest managed vector db to get started with
Choose Weaviate if you need open source with managed cloud option gives deployment flexibility
Choose Databricks Vector Search if you need seamless integration with delta lake and unity catalog