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 103 → 87 of 87
1 category · RankedInformatica Data Quality
69Judge labels
2First choices
29Negative labels
14 / 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.
Best standing
4% in CRM data quality for enterprise buyers
Rank 89 of 99 in the mid-market standingcriticized challenger
0 of 14 models made it the first choice on the direct prompt; 42% of its 19 labels there were negative.
What the models named instead of Informatica Data Quality →By buyer segmentRead the same way at every buyer size.
Small business96 of 96
0%11 labels
criticized challenger
Mid-market89 of 99
0%19 labels
criticized challenger
Enterprise5 of 103
4%38 labels
criticized challenger
In crm data quality · 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 Informatica Data Quality 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.
| Category | Function | Share | Rank | Negative rate | Labels | Quadrant | Since September 2026 |
|---|---|---|---|---|---|---|---|
| CRM data quality and deduplication | Revenue operations | 0% | 89 of 99 | 42% | 19 | criticized challenger | =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, Informatica Data Quality held within the floor in its one category: no change cleared 11 points.
Best category · CRM data quality · by segment
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 82 → 86 of 90
Enterprise▼−14Since September 2026: 16% → 2%, −14 points. Past the 11-point floor: movement. Read over the models both editions asked.
2%from 16% in September 2026
Cleared the floor by 3 pointsRank 2 → 6 of 93
All categories · Mid-market
| Category | September 2026 | Now | Change | Reading | Rank |
|---|---|---|---|---|---|
| CRM data quality | 0% | 0% | =heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked. | Within noise | Rank 82 → 89 of 99 |
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 Informatica Data Quality across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.ShowHide
By model
How each model treated Informatica Data Quality across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.
ShowHide| Model | First choice | Alternative | Mention | Negative | Labels |
|---|---|---|---|---|---|
| Claude Haiku 4.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-5.4 mini | 0 | 1 | 0 | 0 | 1 |
| Gemini 3.5 Flash | 0 | 0 | 0 | 1 | 1 |
| Perplexity Sonar | 0 | 1 | 0 | 1 | 2 |
| Grok 4.20 | 0 | 0 | 1 | 1 | 2 |
| Mistral Small | 0 | 1 | 0 | 1 | 2 |
| 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 | 1 | 1 |
| GLM 4.7 FlashX | 0 | 1 | 1 | 1 | 3 |
| MiniMax M2.5 | 0 | 0 | 1 | 0 | 1 |
| GPT-6 Luna | 0 | 0 | 0 | 0 | 0 |
| Muse Glimmer 30B | 0 | 0 | 2 | 0 | 2 |
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
Direct7 labels1
Paraphrase10 labels1
Comparative20 labels4not counted in share
Budget-constrained5 labelsNone
Scale-constrained8 labelsNone
Negative19 labels2not counted in share
First choiceAlternativeMentionNegative69 labels in all, every segment counted; 2 of the 8 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.
“If you need enterprise-wide governance and matching Choose Informatica-style or broader data quality platforms.” GPT-5.4 mini · CRM data quality · comparative prompt · alternative
“Informatica is for large enterprises needing a comprehensive, enterprise-grade data quality solution.” Mistral Small · CRM data quality · comparative prompt · alternative
“Choose Informatica if you need enterprise governance across systems.” Perplexity Sonar · CRM data quality · comparative prompt · alternative
“Large enterprise governance: Informatica or IBM InfoSphere” GLM 4.7 FlashX · CRM data quality · 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.
“great for broad data governance but can be overkill, expensive, and complex for pure CRM hygiene needs” GLM 4.7 FlashX · CRM data quality · negative prompt · soft negative
“may be overkill for small to mid-sized businesses. They can be expensive, require significant setup” Mistral Small · CRM data quality · negative prompt · soft negative
“Enterprise-heavy tools (e.g., Informatica): Overkill for SMBs; long implementations, high costs” Grok 4.20 · CRM data quality · negative prompt · soft negative
“Avoid enterprise suites (Informatica, Talend) unless you have complex multi-system needs.” Kimi K2 · CRM data quality · scale prompt · soft negative
Named alongside
The products named in the same answers as Informatica Data Quality, over the 69 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Informatica Data Quality was named but was not.ShowHide
Named alongside
The products named in the same answers as Informatica Data Quality, over the 69 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Informatica Data Quality was named but was not.
ShowHideProductSame answerTook the first choice insteadHead to head
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 Informatica Data Quality. 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 69 of the 69 answers that named Informatica Data Quality and are not a share of its labels.
Domains cited
cleanlist.ai58
cognism.com49
g2.com38
integrate.io34
pipeline.zoominfo.com33
clearout.io30
syncmatters.com28
findymail.com26
gitnux.org24
prospeo.io24
344 of the 344 domain citations in answers naming Informatica Data Quality came from somebody else's page.
Pages cited
Pages are listed as the models cited them.
Search and answers
informatica.com is not in Google's top ten for any of the category's searches. In the answers, Informatica Data Quality takes 0% of first choices and Insycle takes 43%.ShowHide
Search and answers
informatica.com is not in Google's top ten for any of the category's searches. In the answers, Informatica Data Quality takes 0% of first choices and Insycle takes 43%.
ShowHideIn search
Google, US estimatesPosition for “crm data quality and deduplication tool”
–
not in the top ten
Position for “best crm data quality and deduplication tool”
–
not in the top ten
- Searches for its name, Google
- 210 a month (“informatica data quality”)
- AI search demand for its name, est.
- 13 a month
- Organic visits to its site
- about 73,321 a month
- Searches its site ranks for
- 12,447 · 1,061 in the top three
- Sites linking to it
- 12,870
- Paid Google search
- No ads found in the estimate; that does not mean it runs none
In answers
This editionShare of first choices
0%
rank 89 of 99 in CRM data quality
Segment leader
43%
Insycle
- First choices
- 2 across its categories
- Named in
- 69 answers
- Its own site cited
- in 69 of the answers that named it
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.
What it publishes
ShowHide
What it publishes
ShowHideAddresses on informatica.com
10,003
subdomains included
Content
1,279
counted in the table below
Documentation
6
Product · Integration
162 · 22
| Kind | Pages | Last 90 days | 2025-10 to 2026-09 | Latest | Categories named |
|---|---|---|---|---|---|
| Blog | 598 | 0 | 2023-04-27 | ||
| Podcast or video | 288 | undated | |||
| News or press | 142 | 0 | 2026-05-01 | ||
| Glossary or explainer | 123 | 1 | 2026-07-08 | ||
| Case study | 78 | 0 | 2025-06-24 | ||
| Conference or event | 17 | 3 | 2026-10-27 | ||
| Comparison | 14 | 0 | 2023-09-13 | ||
| Report or ebook | 9 | undated | |||
| Webinar or virtual event | 7 | 0 | 2024-10-09 | ||
| Template or tool | 3 | 0 | 2024-08-12 |
Most recent
- 2026-10-2720261027 ai drug discovery development summit conference or event
- 2026-10-0720261007 cdo magazine atlanta roundtable exchange conference or event
- 2026-09-2920260929 shoptalk fall conference or event
- 2026-07-08What is data quality glossary or explainer
- 2026-05-0120260520 informatica from salesforce delivers the trusted data foundation every ai agent needs now across every surface news or press
- 2026-05-0120260520 informatica brings headless data management and iceberg governance to snowflake news or press
Events in person
Last twelve months
- October 27, 2026 to October 29, 2026AI Drug Discovery and Development Summit (AIDDD) 2026Boston Marriott Copley Place, Boston, US · hosted
As the event pages on informatica.com state them, read September 28, 2026.
How it is countedHide how it is counted
Every page informatica.com exposes, subdomains included. Kind is read from the address and title. The last 90 days, the latest date and the twelve months count pages by when they were published, from the site's feeds, a date in the address, or the page's own publication date, read from up to a hundred of its most recently changed pages; a page that says only when it last changed is counted in its kind but not in when, so the recent counts are a floor, and a kind none of whose pages gives a publication date reads undated. An event counts as online when its address or title says so (webinar, on demand, virtual or online summit); a conference, summit, trade show, expo or roadshow that does not say so is counted as a conference or event, which on a vendor's site is mostly in person. Read September 29, 2026.
Names read as Informatica Data Quality
What the judge wrote, as written, with how often. The vendor table decides that these count as Informatica Data Quality; a claim can dispute any of them.
Informatica 16
Follow Informatica Data Quality
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
Informatica is the company behind Informatica Data Quality.ShowHide
The company
Informatica is the company behind Informatica Data Quality.
ShowHideOn record
Wikidata- Website
- informatica.com
- Headquarters
- Redwood City, United States
- Founded
- 1993
- Ownership
- Public, INFA on New York Stock Exchange
Fetched September 14, 2026. These describe the company, not the product's standing, and a claimed page can dispute any of them. · Wikidata · LinkedIn · Crunchbase
In its own words
Stated by the vendor, not checked- Positioning
- Informatica is named a Leader in the Gartner® Magic Quadrant™ for Augmented Data Quality Solutions for the 18th time
- For
- Everyone—including line-of-business managers, data stewards, analysts, and IT developers
- Price stated
- Get consumption-based pricing informatica.com/products/data-quality.html
- Free plan or trial
- Free 30-Day Trial informatica.com/trials/cloud-data-quality.html
- Certifications
- A Leader in 6 Gartner® Magic Quadrant™ reports2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions
- Hosting
- North AmericaEuropeAsia Pacific
- Customers named
- Lowellmabehoffmann-groupsaudi-airlinesmeridian-healthfranciscan-healthAvis Budget GroupAXA
- Not stated on the pages read
- Starting price, integrations
What Informatica Data Quality's own pages state, read October 5, 2026: informatica.com/data-quality-magic-quadrant.html, informatica.com/products/data-quality.html, informatica.com/trials/cloud-data-quality.html, informatica.com/blogs/data-quality-for-everyone-everywhere.html, informatica.com/blogs/how-to-improve-data-quality-with-data-enrichment.html. 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 Informatica Data Quality'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 Informatica Data Quality, 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 Informatica Data Quality by email, built from the raw record of the edition. It shows:
- where Informatica Data Quality 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 Informatica Data Quality, 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.