PostgreSQL · 1 category · RankedPostgreSQL Anonymizer
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data masking and test data management | Data platform | 6% | 7 of 140 | 12% | 8 | under 10 labels · led by DATPROF at 17% |
Movement
By model
How each model treated PostgreSQL Anonymizer across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 1 | 0 | 0 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 0 | 1 |
| Grok 4.1 Fast | 0 | 0 | 0 | 1 | 1 |
| Mistral Small | 0 | 0 | 0 | 0 | 0 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 1 | 0 | 0 | 1 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 1 | 0 | 0 | 0 | 1 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 1 | 0 | 0 | 0 | 1 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Open-source options like PostgreSQL Anonymizer are often the right starting point for under-20-engineer teams” Muse Glimmer 30B · Data masking · budget prompt · first choice
“For a small team with PostgreSQL and a development/test use case, pilot PostgreSQL Anonymizer first.” GPT-6 Luna · Data masking · budget prompt · first choice
“Small team (<20 people), sub-100GB database: Start with open-source like PostgreSQL Anonymizer” MiniMax M2.5 · Data masking · budget prompt · first choice
“Best ultra-low-cost option: PostgreSQL Anonymizer for small teams or sub-100GB databases” Perplexity Sonar · Data masking · budget prompt · alternative
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.
“CVE-2025-5690 | Medium (6.5): Bypassed masking via cursors/pg_dump (dynamic mode only). Fixed in v2.2.1.” Grok 4.1 Fast · Data masking · negative prompt · hard negative
Named alongside
The products named in the same answers as PostgreSQL Anonymizer, over the 28 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and PostgreSQL Anonymizer was named but was not.ShowHide
Named alongside
What carried it into the answer
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 28 of the 28 answers that named PostgreSQL Anonymizer and are not a share of its labels.
Domains cited
144 of the 144 domain citations in answers naming PostgreSQL Anonymizer came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
postgresql.org is not in Google's top ten for any of the category's searches. In the answers, PostgreSQL Anonymizer takes 6% of first choices and DATPROF takes 17%.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 40 a month (“postgresql anonymizer”)
- AI search demand for its name, est.
- 0 a month
- Its company's site
- postgresql.org shared with PostgreSQL's other products; the figures are the site's
- Organic visits to its site
- about 465,585 a month
- Searches its site ranks for
- 70,688 · 7,508 in the top three
- Sites linking to it
- 57,157
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This edition- First choices
- 7 across its categories
- Named in
- 28 answers
- Its own site cited
- in 28 of the answers that named it
Search figures are US estimates from DataForSEO, read September 28, 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.
Names read as PostgreSQL Anonymizer
Follow PostgreSQL Anonymizer
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.
The company
PostgreSQL is the company behind PostgreSQL Anonymizer.ShowHide
The company
On record
Company records- Also from PostgreSQL
- PostgreSQL with TimescaleDB, PostgreSQL with vector support
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 PostgreSQL Anonymizer'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 PostgreSQL Anonymizer, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.
What a new claim receivesHide what a new claim receives
A new claim receives the current edition's vendor brief for PostgreSQL Anonymizer by email, built from the raw record of the edition. It shows:
- where PostgreSQL Anonymizer is named, by buyer and by framing, and which cells hold its first choices;
- the claims the models make when they name it, ranked, with the strongest and the weakest quoted;
- its vocabulary against the segment leader's, and the pages the models cited;
- who was chosen in the answers that did not name PostgreSQL Anonymizer, and every reason the record gives;
- a battlecard for each top rival: the head-to-head split, why they win, and the reservation quoted against them;
- one page of published figures cleared to show a buyer.