GTM AI Index
Index Vendors BigQuery › Alternatives · September 2026 Edition
Two categories · what the models named instead

Alternatives to BigQuery, as AI models named them

In the September 2026 Edition, 262 of the 432 answers collected in the two categories where BigQuery 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 262 answers that did not name BigQuery, every category and segment above added together; a product can be counted in several. Each category below keeps its own denominator.

Data warehouse and reverse ETL for marketing

GTM data and infrastructure. Six framings, twelve models, one answer each per buyer segment; an answer counts here when BigQuery is not its first choice or an alternative in it.
Small businessBigQuery is #2 of 17 here at 35% of first choices, 64 labels.

Nineteen of the seventy-two answers did not name BigQuery; it was the first choice in thirty-nine. The first choices in those nineteen answers, six products in all:

The full small business standing →
Mid-marketBigQuery is #2 of 14 here at 24% of first choices, 65 labels.

Nineteen of the seventy-two answers did not name BigQuery; it was the first choice in twenty-nine. The first choices in those nineteen answers, five products in all:

The full mid-market standing →
EnterpriseBigQuery is #3 of 13 here at 11% of first choices, 57 labels.

Twenty-seven of the seventy-two answers did not name BigQuery; it was the first choice in thirteen. The first choices in those twenty-seven answers, four products in all:

The full enterprise standing →

Data management platforms

GTM data and infrastructure. Six framings, twelve models, one answer each per buyer segment; an answer counts here when BigQuery is not its first choice or an alternative in it.
Small businessBigQuery is #11 of 13 here at 0% of first choices, 10 labels.

Sixty-seven of the seventy-two answers did not name BigQuery; it was the first choice in three. The first choices in those sixty-seven answers, thirty-seven products in all, the eight most named:

29 more in the record.The full small business standing →
Mid-marketBigQuery is #4 of 11 here at 4% of first choices, 12 labels.

Sixty-five of the seventy-two answers did not name BigQuery; it was the first choice in four. The first choices in those sixty-five answers, thirty-one products in all, the eight most named:

23 more in the record.The full mid-market standing →
EnterpriseBigQuery is #11 of 13 here at 0% of first choices, 13 labels.

Sixty-five of the seventy-two answers did not name BigQuery; it was the first choice in one. The first choices in those sixty-five answers, thirty-one products in all, the eight most named:

23 more in the record.The full enterprise standing →

How to read this

A category is asked six ways of each of twelve models on behalf of each buyer segment, so a segment is seventy-two answers. An answer belongs on this page when the judge labeled BigQuery 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 BigQuery 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 BigQuery's side.

Every answer and every label is in the free record. The output is the models' output; nothing here is a recommendation by the index, and a product named instead of BigQuery was named by a model, not endorsed by anyone.