Finance AI Index

Index › Vendors › Informatica Data Quality · September 2026 Edition

1 category · Named, not ranked

Informatica Data Quality

1Judge labels

0First choices

0Negative labels

1 of 12Models named it

1Category

September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.

Standing

1 label, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Informatica Data Quality was named 1 time in Account reconciliation, where FloQast led with 33%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small businessnot named

No model named it for this buyer.

Mid-market33 of 72

under the label threshold

Enterprisenot named

No model named it for this buyer.

In account reconciliation · 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
Account reconciliation	Accounting and close	0%	33 of 72	0%	1	under 10 labels · led by FloQast at 33%

Movement

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

By model

How each model treated Informatica Data Quality across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.

Model	Alternative	Labels
Claude Haiku 4.5	0	0
GPT-5.4 mini	0	0
Gemini 3.5 Flash	0	0
Perplexity Sonar	0	0
Grok 4.1 Fast	0	0
Mistral Small	0	0
DeepSeek V4 Flash	1	1
Llama 4 Maverick	0	0
Qwen 3.7 Flash	0	0
Kimi K2	0	0
GLM 4.7 FlashX	0	0
MiniMax M2.5	0	0

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

Comparative1 labelNone

Budget-constrained0 labelsNone

Scale-constrained0 labelsNone

Negative0 labelsNone

First choiceAlternativeMentionNegative1 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.

“Enterprise data governance & stewardship → Informatica, IBM QualityStage, Oracle EDQ” DeepSeek V4 Flash · Account reconciliation · 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.

No model argued against it.

Named alongside

The products named in the same answers as Informatica Data Quality, over the 1 answer 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.

ProductSame answerTook the first choice insteadHead to head

BlackLine1 of 11Not in the top three

Trintech1 of 11Not in the top three

FloQast1 of 10Not in the top three

Great Expectations1 of 10Not in the top three

Hevo Data1 of 10Not in the top three

HighRadius1 of 10Not in the top three

IBM InfoSphere QualityStage1 of 10Not in the top three

Numeric1 of 10Not in the top three

OneStream1 of 10Not in the top three

Oracle Enterprise Data Quality1 of 10Not in the top three

A head-to-head page exists where both products are in a category's top three. 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, four of the twelve in this edition, so these counts come from 1 of the 1 answers that named Informatica Data Quality and are not a share of its labels.

Domains cited

airwallex.com1

bluecopa.com1

gartner.com1

gitnux.org1

hevodata.com1

highradius.com1

klippa.com1

layer3labs.io1

ramp.com1

satvasolutions.com1

Ten of the ten domain citations in answers naming Informatica Data Quality came from somebody else's page.

Pages cited

airwallex.com/en-us/blog/best-automated-reconciliation-software-solutions1

bluecopa.com/blog/account-reconciliation-tools1

bluecopa.com/blog/financial-reconciliation-softwares1

bluecopa.com/blog/transaction-matching-softwares1

gartner.com/reviews/market/financial-reconciliation-solutions1

gitnux.org/best/data-reconciliation-software1

hevodata.com/learn/data-integrity-tools1

hevodata.com/learn/top-7-data-reconciliation-tools1

Pages are listed as the models cited 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.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at informatica.com is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.