| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data virtualization | Data platform | 0% | 18 of 99 | 25% | 12 | criticized challenger | |
| AI governance platforms | Data platform | 0% | 63 of 135 | 0% | 2 | under 10 labels · led by Credo AI at 18% | |
| Data catalogs and governance | Data platform | 0% | 31 of 83 | 0% | 2 | under 10 labels · led by Atlan at 44% |
| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 1 | 0 | 1 | 2 |
| GPT-5.4 mini | 0 | 0 | 0 | 0 | 0 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 2 | 0 | 0 | 2 |
| Grok 4.1 Fast | 0 | 0 | 1 | 0 | 1 |
| Mistral Small | 0 | 1 | 2 | 0 | 3 |
| DeepSeek V4 Flash | 0 | 1 | 0 | 0 | 1 |
| Llama 4 Maverick | 0 | 0 | 0 | 0 | 0 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 1 | 1 | 1 | 3 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 1 | 0 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 1 | 1 | 0 | 2 |
Verbatim evidence the judge attached to positive labels.
“Legacy + AI focus. Reported strengths are mainframe & AI integration for legacy + AI users, hybrid deployment and enterprise licensing.” Muse Glimmer 30B · Data virtualization · comparative prompt · alternative
“Consider IBM Cloud Pak for Data or TIBCO Data Virtualization if your existing stack already leans toward those ecosystems” Perplexity Sonar · Data virtualization · direct prompt · alternative
“comprehensive data platform that includes virtualization, governance, and AI capabilities” Claude Haiku 4.5 · Data virtualization · comparative prompt · alternative
“Ideal for organizations already using IBM tools or needing strict regulatory adherence.” Mistral Small · Data virtualization · 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.
“IBM Cloud Pak for Data can feel "heavy" and over-engineered for companies not already in the IBM ecosystem” Claude Haiku 4.5 · Data virtualization · negative prompt · soft negative
“High complexity in setup and configuration - Can be challenging for new users to navigate” Kimi K2 · Data virtualization · negative prompt · soft negative
“enterprise-grade products that typically come with expensive annual contracts” Gemini 3.5 Flash · Data virtualization · budget 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 36 of the 37 answers that named IBM Cloud Pak for Data and are not a share of its labels.
138 of the 138 domain citations in answers naming IBM Cloud Pak for Data 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 Cloud Pak for Data's own pages state, read October 5, 2026: ibm.com/products/cloud-pak-for-data. 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 Cloud Pak for Data'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 Cloud Pak for Data, 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 Cloud Pak for Data by email, built from the raw record of the edition. It shows: