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Index › Products › IBM Cloud Pak for Data · October 2026 Edition
IBM · 3 categories · Ranked

IBM Cloud Pak for Data

37Judge labels
0First choices
11Negative labels
12 / 14Models named it
3Categories
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.
Best standing
0% in Data virtualization for mid-market buyers
Rank 18 of 99 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 25% of its 12 labels there were negative.
What the models named instead of IBM Cloud Pak for Data →
By buyer segmentRead the same way at every buyer size.
In data virtualization · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named IBM Cloud Pak for Data for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrantSince September 2026
Data virtualizationData platform0%18 of 9925%12criticized challenger
AI governance platformsData platform0%63 of 1350%2under 10 labels · led by Credo AI at 18%
Data catalogs and governanceData platform0%31 of 830%2under 10 labels · led by Atlan at 44%

Movement

This is the first edition on this tier, so no move can be computed for IBM Cloud Pak for Data yet. From the next edition this section shows, per buyer segment and per category, whether its share moved by more than the measured noise floor.

By model

How each model treated IBM Cloud Pak for Data across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
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ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.501012
GPT-5.4 mini00000
Gemini 3.5 Flash00011
Perplexity Sonar02002
Grok 4.1 Fast00101
Mistral Small01203
DeepSeek V4 Flash01001
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K201113
GLM 4.7 FlashX00000
MiniMax M2.501001
GPT-6 Luna00000
Muse Glimmer 30B01102

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct3 labelsNone
Paraphrase7 labelsNone
Comparative13 labelsNone
Budget-constrained1 labelNone
Scale-constrained3 labelsNone
Negative10 labelsNone
First choiceAlternativeMentionNegative37 labels in all, every segment counted; 0 of the 0 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

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

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 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

Named alongside

The products named in the same answers as IBM Cloud Pak for Data, over the 37 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM Cloud Pak for Data was named but was not.
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ProductSame answerTook the first choice insteadHead to head
Denodo28 of 3716Not among the top eight
TIBCO Data Virtualization19 of 370Not among the top eight
Informatica Intelligent Data Management Cloud14 of 370Not among the top eight
Starburst12 of 370Not among the top eight
Dremio8 of 372Not among the top eight
Collibra7 of 373Not among the top eight
Red Hat JBoss Data Virtualization7 of 370Not among the top eight
SAP HANA6 of 370Not among the top eight
CData Virtuality5 of 371Not among the top eight
Alation5 of 370Not among the top eight
A head-to-head page exists where both products are among a category's top eight. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named IBM Cloud Pak for Data. A fact about retrieval, not a lever on the model.

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.

Domains cited

domo.com20
gartner.com17
devopsschool.com15
g2.com14
promethium.ai14
verifiedmarketresearch.com14
checkthat.ai11
denodo.com11
etlclub.net11
eweek.com11

138 of the 138 domain citations in answers naming IBM Cloud Pak for Data came from somebody else's page.

Pages cited

Pages are listed as the models cited them.

Search and answers

Where IBM Cloud Pak for Data stands in Google search beside where it stands in the models' answers.
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In search

Google, US estimates
Searches for its name, Google
390 a month (“ibm cloud pak for data”)
AI search demand for its name, est.
24 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
Share of first choices
0%
rank 18 of 99 in data virtualization
Segment leader
28%
Denodo
First choices
0 across its categories
Named in
37 answers
Its own site cited
in 36 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 IBM Cloud Pak for Data

What the judge wrote, as written, with how often. The vendor table decides that these count as IBM Cloud Pak for Data; a claim can dispute any of them.
IBM Cloud Pak for Data (Data Virtualization) 1IBM Cloud Pak for Data (Watson Query) 1IBM Cloud Pak for Data / InfoSphere Data Virtualization 1

Follow IBM Cloud Pak for Data

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 Cloud Pak for Data.
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In its own words

Stated by the vendor, not checked
Positioning
Predict outcomes faster using a platform built with data fabric architecture
Free plan or trial
Try it free ibm.com/products/cloud-pak-for-data
Customers named
Deutsche Lufthansa AGSamsung Electro-MechanicsCapital BankShell
Not stated on the pages read
Price, starting price, certifications, hosting

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.

Is this your product?

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 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.

What a new claim receivesHide what a new claim receives

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:

  • where IBM Cloud Pak for Data 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 Cloud Pak for Data, 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.
The subscriber app

A verification link goes to your work email; an address at ibm.com is approved on the spot, any other is reviewed by hand. Your email is never published. Claiming gives no say over labels, shares, verdicts or which quotes appear.