Data masking and test data management · October 2026 Edition
IRI FieldShield vs Delphix
Three of fourteen models named IRI FieldShield first on the direct prompt; one named Delphix. IRI FieldShield was named by ten of the fourteen models and Delphix by fourteen and IRI FieldShield carries 21 labels and Delphix 37, so the shares are not directly comparable.
IRI FieldShield
accepted challengerNamed in one category this edition.
Named in one category this edition.
First-choice share9%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%27%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#5A position in a field of 10; printed, not drawn.
Labels2137A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, IRI FieldShield reading right to left. Rank and label count are printed, not drawn.DATPROF vs IRI FieldShield · DATPROF vs Delphix · Tonic.ai vs IRI FieldShield
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data masking and test data management page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
IRI FieldShieldFirst choices, of fourteen modelsDelphix
Direct311 against Delphix
Paraphrase013 against Delphix
Comparative07
Budget-constrained204 against Delphix
Scale-constrained00
Negative012 against Delphix
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the October 2026 Edition, IRI FieldShield and Delphix were named in the same answer twenty-three times, of the 54 answers naming IRI FieldShield and the 103 naming Delphix. In those answers Delphix took the first choice four times and IRI FieldShield five.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where IRI FieldShield and Delphix stood in it.
| Model | DirectIF | ParaphraseIF | ComparativeIF | Budget-constrainedIF | Scale-constrainedIF | NegativeIF |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | IF | IF | ||||
| GPT-5.4 mini | | IF | ||||
| Gemini 3.5 Flash | | | ||||
| Perplexity Sonar | IF | | IF | |||
| Grok 4.1 Fast | | | | | ||
| Mistral Small | | |||||
| DeepSeek V4 Flash | IF | | | | ||
| Llama 4 Maverick | | | ||||
| Qwen 3.7 Flash | | | IF | |||
| Kimi K2 | IF | | ||||
| GLM 4.7 FlashX | | | IF | IF | ||
| MiniMax M2.5 | | | IF | |||
| GPT-6 Luna | | | ||||
| Muse Glimmer 30B | IF | IF | IF |
IF IRI FieldShield DelphixIF first choiceIF named as an alternativeIF argued againstblank: not namedEach cell is one answer, IRI FieldShield on the left and Delphix on the right.
DelphixIF first choiceIF named as an alternativeIF argued againstblank: not namedEach cell is one answer, IRI FieldShield on the left and Delphix on the right.The direct prompt
The plain question, one answer per model, grouped by where IRI FieldShield and Delphix stood in it.
IRI FieldShield first, Delphix not the choice
3 of 14 modelsDelphix was named in the answer but not as the choice, or not at all.Claude Haiku 4.5IRI FieldShield alternatives: DATPROF, Informatica Cloud Data Masking, Oracle Data Masking and Subsetting, Tonic.ai
DeepSeek V4 FlashIRI FieldShield alternatives: DATPROF, K2View Test Data Management, Microsoft SQL Server
Kimi K2IRI FieldShield alternatives: DataMasque, K2View Test Data Management, Satori Data Security Platform, Tonic.ai
Delphix first, IRI FieldShield not the choice
1 of 14 modelsIRI FieldShield was named in the answer but not as the choice, or not at all.MiniMax M2.5Delphix, Oracle Data Masking and Subsetting alternatives: DataSunrise, IBM InfoSphere Optim
Neither was the first choice, one was named
4 of 14 modelsThe answer put something else first and named one of the two as an alternative.Perplexity SonarOracle Data Masking and Subsetting alternatives: IRI FieldShield, K2View Test Data Management
Grok 4.1 FastOracle Data Masking and Subsetting, Tonic.ai alternatives: DATPROF, Delphix, Microsoft SQL Data Masking
GLM 4.7 FlashXTonic.ai alternatives: Delphix, VGS Platform
Muse Glimmer 30BTonic.ai alternatives: Camouflage, Delphix, IRI FieldShield
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniK2View Test Data Management alternatives: Broadcom, HushHush Data Masking Components, Oracle Data Safe
Gemini 3.5 FlashTonic.ai alternatives: ALTR, Accutive Data Discovery & Masking, Immuta, Satori Cyber
Mistral SmallOracle Data Masking and Subsetting
Llama 4 MaverickOracle Data Masking and Subsetting alternatives: IBM InfoSphere Optim Data Privacy, Informatica Data Privacy Tool
Qwen 3.7 FlashArmatix alternatives: AWS Data Sync / AWS Glue, GoodData, GreatMasking, Informatica Intelligent Data Management Cloud, Microsoft Purview
GPT-6 LunaTonic Structural alternatives: K2View Test Data Management, Perforce Delphix, Redgate Data Masker
Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
IRI FieldShield leads by twenty points.
IRI FieldShield22%#1 of 11
Delphix2%#9 of 11Mid-marketThe figures above
IRI FieldShield leads by six points.
IRI FieldShield9%#3 of 10
Delphix4%#5 of 10Enterprise
The order flips: Delphix leads at enterprise.
Delphix27%#1 of 9IRI FieldShield2%#– of 9
The full enterprise standing →What the models said about IRI FieldShield
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“IRI FieldShield masks structured data across databases and files... offers strong coverage at a mid-market price” Claude Haiku 4.5 · direct prompt · first choice
“IRI FieldShield is widely considered the best value option for budget-conscious companies.” Claude Haiku 4.5 · budget prompt · first choice
“IRI FieldShield is the strongest low-cost commercial option mentioned in the results” Perplexity Sonar · budget prompt · first choice
What the models said about Delphix
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid (Unless You Have Enterprise Budget) ... Excellent but expensive” Kimi K2 · paraphrase prompt · hard negative
“Delphix (Perforce) - while it is a comprehensive tool, it focuses on test data management and data virtualization as much as masking itself.” Llama 4 Maverick · negative prompt · soft negative
“without the steep learning curve and infrastructure costs associated with enterprise giants like Delphix or IBM InfoSphere” Qwen 3.7 Flash · paraphrase prompt · soft negative
“or Delphix if you have a multi-database environment. Both offer the right balance of features, scalability, and pricing for mid-market needs.” MiniMax M2.5 · direct prompt · first choice
“Go with Delphix if your bottleneck is database provisioning speed and your infrastructure budget allows for heavy virtualization tooling.” Gemini 3.5 Flash · comparative prompt · first choice
“Choose Delphix or Informatica for broad database support + DevOps/test data pipelines with virtualization and policy automation.” Muse Glimmer 30B · comparative prompt · first choice
Also compared
DATPROF vs IRI FieldShieldDATPROF vs DelphixTonic.ai vs IRI FieldShieldTonic.ai vs DelphixIRI FieldShield vs Oracle Data Masking and SubsettingIRI FieldShield vs K2View Test Data ManagementIRI FieldShield vs GenRocketOracle Data Masking and Subsetting vs DelphixDelphix vs K2View Test Data ManagementDelphix vs GenRocketAll twenty-one head-to-head pages and the full data masking standing
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.