Oracle · 1 category · RankedOracle Data Masking and Subsetting
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data masking and test data management | Data platform | 9% | 4 of 140 | 14% | 22 | accepted challenger |
Movement
By model
How each model treated Oracle Data Masking and Subsetting 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 | 1 | 1 | 0 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 1 | 0 | 1 | 0 | 2 |
| Grok 4.1 Fast | 1 | 1 | 1 | 1 | 4 |
| Mistral Small | 1 | 1 | 1 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 1 | 2 |
| Llama 4 Maverick | 1 | 0 | 1 | 0 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 0 | 0 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 1 | 1 | 1 | 0 | 3 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 1 | 2 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“I'd suggest starting with Oracle Data Masking and Subsetting if you're in an Oracle environment, or Delphix if you have a multi-database environment” MiniMax M2.5 · Data masking · direct prompt · first choice
“Oracle Data Masking and Subsetting is the best pick from these results for a typical mid-market B2B company” Perplexity Sonar · Data masking · direct prompt · first choice
“Start with Oracle Data Masking if you're in an Oracle ecosystem—explicitly called best for mid-size enterprises” Grok 4.1 Fast · Data masking · direct prompt · first choice
“Oracle Data Masking and Subsetting is widely recommended as one of the best data masking tools” Mistral Small · Data masking · direct prompt · first choice
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.
“Oracle Data Masking and Subsetting is native to Oracle Enterprise Manager and only sensible if your estate is Oracle. Using it outside Oracle adds integration risk and limited coverage.” Muse Glimmer 30B · Data masking · negative prompt · soft negative
“Best only if you're already an Oracle shop; not flexible for non-Oracle databases” DeepSeek V4 Flash · Data masking · negative prompt · soft negative
“Great if locked-in, but can't handle hybrid/multi-cloud without extras.” Grok 4.1 Fast · Data masking · negative prompt · soft negative
Named alongside
The products named in the same answers as Oracle Data Masking and Subsetting, over the 69 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Oracle Data Masking and Subsetting 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 66 of the 69 answers that named Oracle Data Masking and Subsetting and are not a share of its labels.
Domains cited
338 of the 338 domain citations in answers naming Oracle Data Masking and Subsetting came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where Oracle Data Masking and Subsetting stands in Google search beside where it stands in the models' answers.ShowHide
Search and answers
In search
Google, US estimates- Searches for its name, Google
- 30 a month (“oracle data masking and subsetting”)
- AI search demand for its name, est.
- 0 a month
- Its own site
- It sits on Oracle's site (oracle.com), so there are no site figures for it alone
In answers
This edition- First choices
- 8 across its categories
- Named in
- 69 answers
- Its own site cited
- in 66 of the answers that named it
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.
Names read as Oracle Data Masking and Subsetting
Follow Oracle Data Masking and Subsetting
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
Oracle is the company behind Oracle Data Masking and Subsetting.ShowHide
The company
On record
Company recordsClaim 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 Oracle Data Masking and Subsetting'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 Oracle Data Masking and Subsetting, 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 Oracle Data Masking and Subsetting by email, built from the raw record of the edition. It shows:
- where Oracle Data Masking and Subsetting 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 Oracle Data Masking and Subsetting, 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.