| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data masking and test data management | Data platform | 17% | 1 of 140 | 0% | 20 | accepted challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 2 | 0 | 0 | 2 |
| Perplexity Sonar | 1 | 0 | 0 | 0 | 1 |
| Grok 4.1 Fast | 1 | 1 | 0 | 0 | 2 |
| Mistral Small | 1 | 1 | 0 | 0 | 2 |
| DeepSeek V4 Flash | 1 | 1 | 0 | 0 | 2 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 1 | 0 | 0 | 0 | 1 |
| Kimi K2 | 1 | 0 | 1 | 0 | 2 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 1 | 1 | 0 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Top Pick: DATPROF ... I'd recommend DATPROF — it offers the best balance of features, compliance readiness, mid-market-appropriate pricing” DeepSeek V4 Flash · Data masking · paraphrase prompt · first choice
“the most commonly recommended Test Data Management (TDM) tools are Datprof and GenRocket” Qwen 3.7 Flash · Data masking · paraphrase prompt · first choice
“the most recommended test data management (TDM) tools are Datprof and GenRocket” Mistral Small · Data masking · paraphrase prompt · first choice
“I'd recommend DATPROF as a strong starting point for test data management (TDM)” Grok 4.1 Fast · Data masking · paraphrase prompt · first choice
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.
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 52 of the 52 answers that named DATPROF and are not a share of its labels.
198 of the 214 domain citations in answers naming DATPROF came from somebody else's page.
Pages are listed as the models cited them.
Search figures are US estimates from DataForSEO, read October 5, 2026; AI search demand is its modeled, directional estimate, not a count of queries to any assistant. The answers are this edition's. Two measurements side by side: neither is read as the cause of the other.
| Kind | Pages | Last 90 days | 2025-11 to 2026-10 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 71 | 2 | 2026-09-28 | ||
| Webinar or virtual event | 28 | 1 | 2026-09-17 | ||
| Case study | 8 | 0 | 2022-12-05 | ||
| Report or ebook | 7 | 0 | 2023-07-10 | ||
| Glossary or explainer | 4 | undated | |||
| Comparison | 3 | 0 | 2020-12-21 | ||
| Template or tool | 2 | undated | |||
| News or press | 1 | 0 | 2020-02-26 |
Every page datprof.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read October 5, 2026.
An email the morning each edition publishes: where this product moved, where it held, and by how much against the noise floor. One address, confirmed by a click; a stop link in every email.
Already following? Everything you follow, with a stop for each.
What DATPROF's own pages state, read October 5, 2026: datprof.com, datprof.com/pricing, datprof.com/security, datprof.com/products, datprof.com/customers. A claimed page can correct any of them.
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 DATPROF'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 DATPROF, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
A new claim receives the current edition's vendor brief for DATPROF by email, built from the raw record of the edition. It shows:
AI models recommend DATPROF first in Data masking and test data management this edition. Each badge says so in the buyer's words, names the edition, and links to the standing. The next edition issues a new badge; this one stays true as a record of October 2026.
Badges read on light and dark pages. Alt text carries the claim, the category, the edition and the index, so it stays a citation where the image does not load.