| Category | Function | Share | Rank | Negative rate | Labels | Quadrant |
|---|---|---|---|---|---|---|
| Vector databases | Data platform | 37% | 1 of 24 | 5% | 63 | endorsed leader |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 1 | 1 | 4 |
| GPT-5.4 mini | 3 | 0 | 2 | 0 | 5 |
| Gemini 3.5 Flash | 1 | 5 | 0 | 0 | 6 |
| Perplexity Sonar | 3 | 0 | 1 | 1 | 5 |
| Grok 4.1 Fast | 1 | 4 | 1 | 0 | 6 |
| Mistral Small | 1 | 1 | 2 | 0 | 4 |
| DeepSeek V4 Flash | 3 | 1 | 2 | 0 | 6 |
| Llama 4 Maverick | 1 | 1 | 0 | 1 | 3 |
| Qwen 3.7 Flash | 1 | 3 | 1 | 0 | 5 |
| Kimi K2 | 1 | 5 | 0 | 0 | 6 |
| GLM 4.7 FlashX | 2 | 3 | 2 | 0 | 7 |
| MiniMax M2.5 | 2 | 4 | 0 | 0 | 6 |
Verbatim evidence the judge attached to positive labels.
“For a budget-conscious company, Qdrant or Weaviate are generally recommended. Qdrant offers the best performance-to-cost ratio” MiniMax M2.5 · Vector databases · budget prompt · first choice
“the best default choice is usually Qdrant if you want a production-ready open-source vector database with low operational cost” GPT-5.4 mini · Vector databases · budget prompt · first choice
“Best overall budget pick: Qdrant — it is repeatedly described as the strongest price-performance option” Perplexity Sonar · Vector databases · budget prompt · first choice
“If I had to pick one best general-purpose option for a mid-market B2B company, I'd say: Qdrant” GPT-5.4 mini · Vector databases · direct prompt · first choice
Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.
“Weaviate, Milvus, Pinecone, and Qdrant are all losing adoption share to custom stacks and provider-native retrieval options.” Claude Haiku 4.5 · Vector databases · negative prompt · soft negative
“Vector-only DBs such as Pinecone, Weaviate, Qdrant, Milvus | When you also need SQL/JSON/transactions in the same system” Perplexity Sonar · Vector databases · negative prompt · soft negative
“it may not be the best choice for those that want zero ops overhead” Llama 4 Maverick · Vector databases · negative prompt · soft negative
Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 151 of the 176 answers that named Qdrant and are not a share of its labels.
500 of the 500 domain citations in answers naming Qdrant came from somebody else's page.
Pages are listed as the models cited them.
Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Qdrant's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Qdrant, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at qdrant.com is approved on the spot, any other address is reviewed by hand.
Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.