AWS Comprehend
Listed in the vendor table for Data masking and ML platforms. Not named in any of the 168 answers those categories produced in the November 2026 Edition: fourteen models, six prompts per category and segment, every question asked three times, on behalf of a small B2B company, a mid-market B2B company and an enterprise B2B company, with every standing computed within one segment.
Standing
Not named in 168 answers
Absence in a measured set of answers is a finding, not a verdict: it says the models did not reach for AWS Comprehend when asked these questions this month. The products they named instead are listed by category below.
By buyer segment
The same categories asked on behalf of a different buyer. Each share and rank is computed within its segment; the columns sit side by side and are never added together.
| Category | Small business | Mid-market | Enterprise |
|---|---|---|---|
| ML platforms | 0% · 51 of 148 1 label | not named | not named |
| Data masking and test data management | not named | not named | 0% · 87 of 110 1 label |
Where it was not named
Each category AWS Comprehend belongs to, the answers collected there, and who the models named first instead.
| Category | Function | Named in | Named instead, first-choice share |
|---|---|---|---|
| Data masking and test data management | Data platform | 0 of 84 | DATPROF Privacy 22% · DataVeil 13% · IRI FieldShield 9% |
| ML platforms | Data platform | 0 of 84 | Databricks Mosaic AI 24% · Azure Machine Learning 19% · Dataiku 9% |
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The measured results on this page stay as measured. The part from AWS Comprehend's own site, its card links and what it states, is the vendor's to correct. Claiming is free on every plan, with a sign-in at aws.amazon.com.