| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Identity governance | Identity and access | 0% | 76 of 76 | 55% | 11 | criticized challenger | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Customer identity and access management | Identity and access | 0% | 41 of 70 | 0% | 1 | under 10 labels · led by Frontegg at 21% | newNew since September 2026: not ranked then, 0% now. |
| Workforce identity and SSO | Identity and access | 0% | 42 of 44 | 100% | 1 | under 10 labels · led by Microsoft Entra ID at 46% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. |
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| IGA | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 73 → 76 of 76 |
| CIAM | 0% | 0% | newNew since September 2026: not ranked then, 0% now. | New this edition | Rank 41 of 70, unchanged |
| Workforce identity | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 36 → 42 of 44 |
Shares here are read over the models both editions asked, so they can differ by a point or two from the standing above, which counts every model in this edition.
The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured · The editions
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 0 | 0 | 0 |
| GPT-5.4 mini | 0 | 0 | 1 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.20 | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 1 | 1 |
| Llama 4 Maverick | 0 | 0 | 1 | 1 | 2 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 1 | 1 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 1 | 1 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 1 | 1 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“Saviynt/CyberArk/Oracle for cloud infrastructure, data access and privileged-heavy scenarios” Muse Glimmer 30B · IGA · comparative prompt · alternative
“OpenText, Oracle, IBM, Broadcom, and EmpowerID offer strong alternatives” Mistral Small · IGA · comparative prompt · alternative
“Enterprise-focused, integrated with Oracle ecosystem” Grok 4.20 · IGA · comparative prompt · alternative
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.
“Avoid entirely if you're starting fresh: ... Oracle OIG (turnkey, but dated and expensive)” DeepSeek V4 Flash · IGA · negative prompt · hard negative
“The Legacy Giants (Avoid for Modern/Greenfield Deployments)... Approaching End-of-Life” Gemini 3.5 Flash · IGA · negative prompt · hard negative
“considered over-engineered for small to mid-size companies (100-500 employees)” Llama 4 Maverick · Workforce identity · negative prompt · hard negative
“Oracle Identity Governance older on-prem versions (complex, resource-heavy)” Kimi K2 · IGA · negative prompt · hard negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 47 of the 51 answers that named Oracle Identity Governance and are not a share of its labels.
157 of the 157 domain citations in answers naming Oracle Identity Governance came from somebody else's page.
Pages are listed as the models cited them.
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.
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 Oracle Identity Governance's own pages state, read September 28, 2026: learn.oracle.com/ols/course/oracle-identity-governance-12c-essentials/38560/67772, learn.oracle.com/ols/course/introduction-to-oracle-identity-governance/89350/105654, learn.oracle.com/ols/learning-path/oracle-identity-governance-essentials/89350/105627, learn.oracle.com/ols/course/oig-oracle-identity-analytics-11g-role-mining/89350/94499, learn.oracle.com/ols/learning-path/oracle-identity-governance-12c-administration/38560/68776. 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 Oracle Identity Governance'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 Identity Governance, 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 Oracle Identity Governance by email, built from the raw record of the edition. It shows: