Index › Products › Azure SQL DDM · October 2026 Edition

1 category · Named, not ranked

Azure SQL DDM

11Judge labels

0First choices

2Negative labels

5 / 14Models named it

1Category

October 2026 Edition. Every number here is derived from the raw labels under vendor table v2026-10.8, every buyer segment counted.

Standing

3 labels, too few to rank

A product needs 10 labels in a category before a share or quadrant is stated. Azure SQL DDM was named 3 times in Data masking, where DATPROF led with 17%. The labels and the evidence are below, counted exactly.

By buyer segmentRead the same way at every buyer size.

Small business28 of 152

under the label threshold

Mid-market113 of 140

under the label threshold

Enterprise97 of 126

under the label threshold

In data masking · 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 Azure SQL DDM 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
Data masking and test data management	Data platform	0%	113 of 140	33%	3	under 10 labels · led by DATPROF at 17%

Movement

This is the first edition on this tier, so no move can be computed for Azure SQL DDM 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 Azure SQL DDM across every prompt where it was named for a mid-market B2B company. Fourteen models, six prompts per category.

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Model	Mention	Negative	Labels
Claude Haiku 4.5	0	0	0
GPT-5.4 mini	0	0	0
Gemini 3.5 Flash	0	0	0
Perplexity Sonar	0	0	0
Grok 4.1 Fast	0	1	1
Mistral Small	0	0	0
DeepSeek V4 Flash	0	0	0
Llama 4 Maverick	2	0	2
Qwen 3.7 Flash	0	0	0
Kimi K2	0	0	0
GLM 4.7 FlashX	0	0	0
MiniMax M2.5	0	0	0
GPT-6 Luna	0	0	0
Muse Glimmer 30B	0	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

Direct2 labelsNone

Paraphrase0 labelsNone

Comparative4 labelsNone

Budget-constrained3 labelsNone

Scale-constrained1 labelNone

Negative1 labelNone

First choiceAlternativeMentionNegative11 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.

No positive label carried a quote.

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 if locked-in, but can't handle hybrid/multi-cloud without extras.” Grok 4.1 Fast · Data masking · negative prompt · soft negative

Named alongside

The products named in the same answers as Azure SQL DDM, over the 11 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Azure SQL DDM was named but was not.

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ProductSame answerTook the first choice insteadHead to head

Microsoft SQL Server10 of 110Not among the top eight

Oracle Data Masking and Subsetting7 of 110Not among the top eight

IRI FieldShield5 of 113Not among the top eight

Delphix3 of 112Not among the top eight

Informatica Intelligent Data Management Cloud3 of 111Not among the top eight

K2View Test Data Management3 of 110Not among the top eight

PostgreSQL Anonymizer2 of 111Not among the top eight

IBM InfoSphere Optim Data Privacy2 of 110Not among the top eight

Informatica Data & AI Governance, Privacy2 of 110Not among the top eight

DataVeil Data Masking1 of 111Not 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 Azure SQL DDM. 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 11 of the 11 answers that named Azure SQL DDM and are not a share of its labels.

Domains cited

ovaledge.com11

checkthat.ai6

iri.com6

outsourceaccelerator.com5

softwaretestinghelp.com5

sourceforge.net5

g2.com4

hevodata.com4

gigantics.io3

k2view.com3

No domain is on file for Azure SQL DDM, so its own site is not marked.

Pages cited

ovaledge.com/blog/data-masking-tools11

checkthat.ai/answers/what-are-the-best-data-masking-tools6

iri.com/support/data-education-center/the-top-15-data-masking-tools-in-20266

outsourceaccelerator.com/articles/data-masking-tools5

softwaretestinghelp.com/data-masking-tools5

hevodata.com/learn/data-masking-tools4

gigantics.io/en/blog/data-masking-tools-comparison3

sourceforge.net/software/data-masking/for-small-business3

Pages are listed as the models cited them.

Names read as Azure SQL DDM

What the judge wrote, as written, with how often. The vendor table decides that these count as Azure SQL DDM; a claim can dispute any of them.

Microsoft SQL Server and Azure SQL DDM 2

Follow Azure SQL DDM

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 Azure SQL DDM'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 Azure SQL DDM, 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 Azure SQL DDM by email, built from the raw record of the edition. It shows:

where Azure SQL DDM 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 Azure SQL DDM, 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.