Every category where a model named pgvector for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.

Category	Function	Share	Rank	Negative rate	Labels	Quadrant
Vector databases	Data platform	35%	2 of 24	14%	51	endorsed leader

Movement

This is the first edition on this tier, so no move can be computed for pgvector yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated pgvector across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	First choice	Alternative	Mention	Negative	Labels
Claude Haiku 4.5	0	2	0	0	2
GPT-5.4 mini	1	1	0	0	2
Gemini 3.5 Flash	5	0	0	1	6
Perplexity Sonar	2	1	1	1	5
Grok 4.1 Fast	3	2	1	0	6
Mistral Small	2	1	1	0	4
DeepSeek V4 Flash	2	3	0	0	5
Llama 4 Maverick	1	0	0	1	2
Qwen 3.7 Flash	1	3	0	1	5
Kimi K2	2	3	0	1	6
GLM 4.7 FlashX	2	0	1	1	4
MiniMax M2.5	1	2	0	1	4

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.

FramingLabels by classFirst choices

Direct34 labels24

Paraphrase28 labels7

Comparative32 labels8not counted in share

Budget-constrained21 labels12

Scale-constrained16 labels6

Negative29 labels14not counted in share

First choiceAlternativeMentionNegative160 labels in all, every segment counted; 49 of the 71 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“The best vector database for a mid-market B2B company is pgvector, which is a PostgreSQL extension. It is the strongest default for mid-market enterprises” Llama 4 Maverick · Vector databases · direct prompt · first choice

“If your application is already backed by PostgreSQL, start with `pgvector`. It is the most common starting point for B2B applications” Gemini 3.5 Flash · Vector databases · paraphrase prompt · first choice

“Choose `pgvector + pgvectorscale` if: You already use PostgreSQL. Adding a dedicated vector database introduces architectural bloat” Gemini 3.5 Flash · Vector databases · comparative prompt · first choice

“The Default Winner: `pgvector` (PostgreSQL)... If your application's primary database is PostgreSQL, start with `pgvector`.” Gemini 3.5 Flash · Vector databases · direct prompt · first choice

And against it

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.

“When you need very high-scale, pure vector search | It is often recommended for existing Postgres shops, but can be a weaker fit for large-scale semantic search workloads.” Perplexity Sonar · Vector databases · negative prompt · soft negative

“While pgvector is excellent for millions of vectors, it can struggle at scale due to sequential index scans and limited parallelism.” GLM 4.7 FlashX · Vector databases · negative prompt · soft negative

“Be cautious of `pgvector` if you are dealing with tens of millions of high-dimensional vectors with heavy write/update requirements” Gemini 3.5 Flash · Vector databases · negative prompt · soft negative

“The Trap: pgvector (PostgreSQL extension). When to Avoid: If you anticipate growing past 10–20 million vectors” Qwen 3.7 Flash · Vector databases · negative prompt · soft negative

Named alongside

The products named in the same answers as pgvector, over the 160 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and pgvector was named but was not.

ProductSame answerTook the first choice insteadHead to head

Pinecone152 of 16043Compare →

Weaviate145 of 1607Not in the top three

Qdrant140 of 16023Compare →

Milvus88 of 1600Not in the top three

Chroma62 of 1604Not in the top three

Milvus / Zilliz Cloud26 of 1601Not in the top three

Zilliz Cloud25 of 1603Not in the top three

Elasticsearch21 of 1600Not in the top three

Redis20 of 1600Not in the top three

LanceDB19 of 1600Not in the top three

A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named pgvector. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 139 of the 160 answers that named pgvector and are not a share of its labels.

Domains cited

firecrawl.dev94

encore.dev83

dev.to59

g2.com44

iternal.ai44

medium.com42

atlan.com38

marktechpost.com32

redis.io31

zenml.io30

497 of the 497 domain citations in answers naming pgvector came from somebody else's page.

Pages cited

firecrawl.dev/blog/best-vector-databases94

encore.dev/articles/best-vector-databases83

g2.com/articles/best-vector-databases44

iternal.ai/insights/best-vector-databases-202644

atlan.com/know/top-vector-databases-enterprise-ai37

dev.to/michaelaiglobal/beyond-pinecone-a-developers-deep-dive-into-the-top-10-vector-datab31

zenml.io/blog/vector-databases-for-rag30

tensoria.fr/en/blog/vector-database-comparison29

Pages are listed as the models cited them.

Names read as pgvector

What the judge wrote, as written, with how often. The vendor table decides that these count as pgvector; a claim can dispute any of them.

pgvector (PostgreSQL) 5pgvector (PostgreSQL extension) 4PostgreSQL 1PostgreSQL + pgvector 1pgvector (Postgres ext + pgvectorscale) 1pgvector (Postgres) 1pgvector (on Postgres) 1pgvector on Postgres 1

Is this your product?

Claim this page

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 pgvector'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 pgvector, 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 pgvector.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.