Qdrant vs pgvector
Six of fourteen models named Qdrant first on the direct prompt; five named pgvector. Both were named by all fourteen models and both carry 73 labels, so the shares below are directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the vector databases page.
By framing
QdrantFirst choices, of fourteen modelspgvector
Across every category in the November 2026 Edition, Qdrant and pgvector were named in the same answer 172 times, of the 215 answers naming Qdrant and the 192 naming pgvector. In those answers pgvector took the first choice fifty times and Qdrant forty-nine.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | | |
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | | | |
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | | | | ||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | | |
| MiniMax M2.5 | | | | | | |
| GPT-6 Luna | | | | | | |
| Muse Glimmer 30B | | | | | | |
Qdrant pgvector first choice named as an alternative argued againstblank: not namedEach cell is one answer, Qdrant on the left and pgvector on the right.The direct prompt
Qdrant first, pgvector an alternative
6 of 14 modelspgvector was named in the answer but not as the choice, or not at all.pgvector first, Qdrant an alternative
5 of 14 modelsQdrant was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Qdrant34%#1 of 11pgvector34%#2 of 11Qdrant20%#2 of 13pgvector7%#4 of 13What the models said about Qdrant
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“reported with a serious flaw in the same round up” Muse Glimmer 30B · negative prompt · soft negative
“Filtering is where Qdrant stands out — the database supports rich JSON-based filters that integrate with vector search efficiently. This makes it ideal for B2B use cases requiring complex filtering.” Claude Haiku 4.5 · direct prompt · first choice
“Qdrant consistently receives the most favorable reviews across testing ... If you need a dedicated vector database, it's often the safer choice.” DeepSeek V4 Flash · negative prompt · first choice
“Most teams should evaluate Qdrant (for performance and flexibility) or Weaviate (for AI-native features) as their primary options” GLM 4.7 FlashX · comparative prompt · first choice
What the models said about pgvector
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“pgvector does not natively support GPU acceleration or disk-optimized indexes, and at billion-scale workloads typically require more advanced sharding strategies” Claude Haiku 4.5 · negative prompt · soft negative
“Using vectors beside your application data in Postgres via pgvector is often the safest default until measured retrieval requirements force a dedicated engine.” Muse Glimmer 30B · negative prompt · soft negative
“pgvector for large, high-throughput workloads with selective filters or many tenants... approximate-index filtering can return too few results” GPT-6 Luna · negative prompt · soft negative
“the recommendation is to start with pgvector unless your scale, query patterns, or operational constraints provide specific evidence otherwise” Claude Haiku 4.5 · scale prompt · first choice
“Start simple: Use pgvector (in Postgres) or SQLite with vector extensions for most apps—it's battle-tested, avoids new tech debt” Grok 4.20 · negative prompt · first choice
“If your company already uses PostgreSQL for standard application data, pgvector is almost always the most cost-effective choice.” Gemini 3.5 Flash · budget prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.