IBM Data Virtualization
Standing by category
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| Data virtualization | Data platform | 0% | 21 of 99 | 36% | 11 | criticized challenger |
Movement
By model
How each model treated IBM Data Virtualization 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 | 2 | 0 | 0 | 2 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 0 | 0 |
| Perplexity Sonar | 0 | 0 | 1 | 1 | 2 |
| Grok 4.1 Fast | 0 | 1 | 0 | 0 | 1 |
| Mistral Small | 0 | 1 | 0 | 0 | 1 |
| DeepSeek V4 Flash | 0 | 0 | 0 | 2 | 2 |
| Llama 4 Maverick | 0 | 0 | 1 | 0 | 1 |
| Qwen 3.7 Flash | 0 | 0 | 0 | 0 | 0 |
| Kimi K2 | 0 | 0 | 0 | 0 | 0 |
| GLM 4.7 FlashX | 0 | 0 | 0 | 0 | 0 |
| MiniMax M2.5 | 0 | 0 | 0 | 1 | 1 |
| GPT-6 Luna | 1 | 0 | 0 | 0 | 1 |
| Muse Glimmer 30B | 0 | 0 | 0 | 0 | 0 |
By framing
What the models said for it
Verbatim evidence the judge attached to positive labels.
“Start with Denodo and IBM.” GPT-6 Luna · Data virtualization · comparative prompt · first choice
“IBM and CData Virtuality are excellent for those with specific needs around SAP integration” Mistral Small · Data virtualization · direct prompt · alternative
“is also an option, especially if you're already standardized on IBM's cloud/data fabric ecosystem” GPT-5.4 mini · Data virtualization · direct prompt · alternative
“Choose IBM Data Virtualization if you're already in IBM Cloud Pak for Data / data fabric.” GPT-5.4 mini · Data virtualization · comparative 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.
“IBM Data Virtualization | Custom/enterprise tier | No free plan, expensive licensing” DeepSeek V4 Flash · Data virtualization · budget prompt · hard negative
“Known limitations with certain data types (BIT columns, BINARY columns)” MiniMax M2.5 · Data virtualization · negative prompt · soft negative
“positioned more for enterprise governance than tight budgets” Perplexity Sonar · Data virtualization · budget prompt · soft negative
“Overkill for most mid-market companies” DeepSeek V4 Flash · Data virtualization · direct prompt · soft negative
Named alongside
The products named in the same answers as IBM Data Virtualization, over the 40 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM Data Virtualization 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 40 of the 40 answers that named IBM Data Virtualization and are not a share of its labels.
Domains cited
152 of the 152 domain citations in answers naming IBM Data Virtualization came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
Where IBM Data Virtualization 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 (“ibm data virtualization”)
- AI search demand for its name, est.
- 0 a month
- Its own site
- It sits on IBM's site (ibm.com), so there are no site figures for it alone
In answers
This edition- First choices
- 1 across its categories
- Named in
- 40 answers
- Its own site cited
- in 40 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.
Follow IBM Data Virtualization
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
IBM is the company behind IBM Data Virtualization.ShowHide
The company
On record
Company recordsIn its own words
Stated by the vendor, not checked- Positioning
- Build AI applications directly from your IBM Z data with a solution that facilitates access to IBM Z relational and non-relational data in place.
- For
- organizations with IBM Z data
- Hosting
- AWS CloudAmazon Web Services (AWS)
- Not stated on the pages read
- Price, starting price, free plan or trial, integrations, certifications, customers
What IBM Data Virtualization's own pages state, read October 5, 2026: ibm.com/products/data-virtualization-manager-for-zos, developer.ibm.com/tutorials/virtualizing-db2-warehouse-data-with-data-virtualization, developer.ibm.com/tutorials/collect-data-from-multiple-sources-on-aws-using-data-virtualization, developer.ibm.com/tutorials/create-a-single-customer-view-of-your-data-with-data-virtualization, ibm.com/think/topics/data-virtualization. A claimed page can correct any of them.
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 IBM Data Virtualization'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 Data Virtualization, 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 IBM Data Virtualization by email, built from the raw record of the edition. It shows:
- where IBM Data Virtualization 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 IBM Data Virtualization, 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.