| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data masking and test data management | Data platform | 0% | 20 of 140 | 18% | 11 | accepted challenger |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 2 | 0 | 2 |
| GPT-5.4 mini | 1 | 0 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 0 | 0 | 0 | 0 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 0 | 1 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 0 | 0 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 0 | 0 | 1 |
| MiniMax M2.5 | 0 | 1 | 1 | 0 | 2 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 0 | 0 | 1 |
Verbatim evidence the judge attached to positive labels.
“If you need masked test data fast: consider Delphix or IBM Optim.” GPT-5.4 mini · Data masking · comparative prompt · first choice
“Best for legacy and mainframe estates. Static masking; On-prem, cloud.” Muse Glimmer 30B · Data masking · comparative prompt · alternative
“IBM-centric environments, multi-use data-management needs” GLM 4.7 FlashX · Data masking · comparative prompt · alternative
“High ratings for legacy/mainframe support.” Grok 4.1 Fast · Data masking · 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.
“Heavyweight enterprise suite with significant implementation overhead” Kimi K2 · Data masking · paraphrase prompt · hard negative
“You likely do not have the budget or a dedicated army of DBAs to manage heavy, complex legacy suites (such as IBM InfoSphere Optim or Broadcom TDM), which can take months to configure.” Gemini 3.5 Flash · Data masking · paraphrase prompt · soft negative
Citations exist only for the models that return a source list, five of the fourteen in this edition, so these counts come from 40 of the 44 answers that named IBM InfoSphere Optim and are not a share of its labels.
181 of the 181 domain citations in answers naming IBM InfoSphere Optim 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.
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 IBM InfoSphere Optim's own pages state, read October 5, 2026: ibm.com/products/optim, ibm.com/products/optim-archive, ibm.com/products/optim-data-privacy, ibm.com/products/infosphere-qualitystage, ibm.com/products/infosphere-data-architect. 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 IBM InfoSphere Optim'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 IBM InfoSphere Optim, 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 IBM InfoSphere Optim by email, built from the raw record of the edition. It shows: