AI Indexes
GTM AI Index
Index › Products › IBM InfoSphere · October 2026 Edition
1 category · Named, not ranked

IBM InfoSphere

20Judge labels
0First choices
12Negative labels
10 / 14Models named it
1Category
October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10-05.2, every buyer segment counted.
Standing
6 labels, too few to rank
A product needs 10 labels in a category before a share or quadrant is stated. IBM InfoSphere was named 6 times in DMP, where Segment led with 37%. The labels and the evidence are below, counted exactly.
By buyer segmentRead the same way at every buyer size.
In dmp · 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 InfoSphere 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 management platformsGTM data and infrastructure0%37 of 15917%6under 10 labels · led by Segment at 37%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.

Movement

Since September 2026, IBM InfoSphere held within the floor in its one category: no change cleared 11 points.

Best category · DMP · by segment

Small business=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 157 → 156 of 161
Mid-market=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 105 → 47 of 150
Enterprise=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.
0%from 0% in September 2026
Inside the floor by 11 pointsRank 46 → 136 of 137

All categories · Mid-market

CategorySeptember 2026NowChangeReadingRank
DMP0%0%=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.Within noiseRank 105 → 37 of 159

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

By model

How each model treated IBM InfoSphere across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.500000
GPT-5.4 mini00000
Gemini 3.5 Flash00000
Perplexity Sonar00000
Grok 4.2000000
Mistral Small00101
DeepSeek V4 Flash01012
Llama 4 Maverick00000
Qwen 3.7 Flash00000
Kimi K200101
GLM 4.7 FlashX00101
MiniMax M2.500000
GPT-6 Luna00000
Muse Glimmer 30B01001

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
Direct0 labelsNone
Paraphrase0 labelsNone
Comparative7 labelsNone
Budget-constrained0 labelsNone
Scale-constrained1 labelNone
Negative12 labelsNone
First choiceAlternativeMentionNegative20 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.

“Extensive data governance capabilities with strong emphasis on data security and compliance management.” Muse Glimmer 30B · DMP · comparative prompt · alternative
“Deep integration with IBM's legacy systems, robust data governance for regulatory-heavy industries.” DeepSeek V4 Flash · DMP · 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.

“Aging architecture, high cost, and slow innovation pace” DeepSeek V4 Flash · DMP · negative prompt · soft negative

Named alongside

The products named in the same answers as IBM InfoSphere, over the 20 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and IBM InfoSphere was named but was not.
ShowHide
ProductSame answerTook the first choice insteadHead to head
Snowflake14 of 206Not among the top eight
Databricks Lakehouse10 of 204Not among the top eight
BigQuery10 of 201Not among the top eight
Collibra10 of 200Not among the top eight
Alation8 of 200Not among the top eight
Amazon Redshift8 of 200Not among the top eight
Fivetran7 of 200Not among the top eight
Salesforce Data Cloud7 of 200Not among the top eight
Adobe Audience Manager6 of 200Not among the top eight
SAP Datasphere6 of 200Not 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 InfoSphere. 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 19 of the 20 answers that named IBM InfoSphere and are not a share of its labels.

Search and answers

Where IBM InfoSphere stands in Google search beside where it stands in the models' answers.
ShowHide

In search

Google, US estimates
Searches for its name, Google
170 a month (“ibm infosphere”)
AI search demand for its name, est.
39 a month
Its own site
No site of its own on file, so no site figures

In answers

This edition
Share of first choices
0%
rank 37 of 159 in DMP
Segment leader
37%
Segment
First choices
0 across its categories
Named in
20 answers
Its own site cited
No site on file to match

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.

Names read as IBM InfoSphere

What the judge wrote, as written, with how often. The vendor table decides that these count as IBM InfoSphere; a claim can dispute any of them.
IBM InfoSphere / IBM Cloud Pak for Data 1IBM InfoSphere / IBM Db2 1

Follow IBM InfoSphere

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.

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 InfoSphere'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, 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 InfoSphere by email, built from the raw record of the edition. It shows:

  • where IBM InfoSphere 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 InfoSphere, 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 the vendor's own domain 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.