Qdrant from Qdrant offers filtering, quantization, and on-prem deployments for vector workloads. It is aimed at latency-sensitive recommendation systems, with a free open-source with Qdrant Cloud usage-based billing. Smaller managed ecosystem than Pinecone for turnkey RAG templates. Editorial teams should verify fit against their compliance and workflow needs before rolling it out broadly.
Qdrant
Qdrant
High-performance vector search engine
FreemiumScore 71.0#105 overall#9 in AI Infrastructure
68 editorial upvotes · editor score 4.4 / 5
Specs
| Pricing | Freemium |
|---|---|
| Starting price | $25/mo |
| Free tier | Yes |
| Platforms | API, Linux, Web |
| Launched | Jan 1, 2021 |
| Last verified | Oct 18, 2026 |
| Vendor | Qdrant |
Highlights
- Quantization
- On-prem option
Pros
- Fast queries
- Rust performance
Cons
- Fewer SaaS templates
Alternatives
- Vercel AI SDKTypeScript toolkit for streaming LLM UIs78.9
- Databricks AILakehouse platform with Mosaic AI models77.1
- PineconeManaged vector database for semantic search76.0
- Weights & BiasesMLOps platform for experiment tracking75.3
- CoreWeaveGPU cloud optimized for AI workloads73.1
- LangfuseOpen-source LLM engineering analytics73.0
Reviews
Reviews open in the next release. Editor scores on this page are editorial estimates, not user ratings.