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Index › Products › pgvector › Alternatives · October 2026 Edition
One category · what the models named instead

Alternatives to pgvector, as AI models named them

In the October 2026 Edition, 109 of the 252 answers collected in the one category where pgvector holds a standing named it neither as a first choice nor as an alternative. These are the products those answers put first, category by category and buyer by buyer. The output is the models' output.

Named instead, most often
First choices in the 109 answers that did not name pgvector, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Vector databases

Data platform. Six framings, fourteen models, one answer each per buyer segment; an answer counts here when pgvector is not its first choice or an alternative in it.
Small businesspgvector is #1 of 7 here at 49% of first choices, 65 labels.

Twenty-four of the eighty-four answers did not name pgvector; it was the first choice in forty-one. The first choices in those twenty-four answers, five products in all:

The full small business standing →
Mid-marketpgvector is #1 of 10 here at 35% of first choices, 66 labels.

Twenty-nine of the eighty-four answers did not name pgvector; it was the first choice in thirty-one. The first choices in those twenty-nine answers, six products in all:

The full mid-market standing →
Enterprisepgvector is #5 of 10 here at 7% of first choices, 49 labels.

Fifty-six of the eighty-four answers did not name pgvector; it was the first choice in nine. The first choices in those fifty-six answers, eight products in all:

The full enterprise standing →

How to read this

A category is asked six ways of each of fourteen models on behalf of each buyer segment, so a segment is eighty-four answers. An answer belongs on this page when the judge labeled pgvector neither its first choice nor an alternative in it; the products listed are the first choices those answers made, counted once per answer. An answer that named nothing first, or named pgvector only in passing, is in the denominator and adds to no product. The counts are not the category standing, which is on the category page with its share and rank; they are the same record read from pgvector's side.

Every answer and every label behind these figures is in the record, sent on request. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of pgvector was named by a model, not endorsed by anyone.