Data masking and test data management
Asked as “data masking tool”, and as “test data management tool”, on behalf of a mid-market B2B company. 54 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
17%
Contested · Tonic.ai 11%
17DATPROF11Tonic.ai09IRI FieldShield63others
17% of first choices, contested.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
04
Oracle Data Masking and Subsetting9%14%22accepted challengernewNew since September 2026: not ranked then, 9% now.
Oracle Data Masking and Subsetting9%14%22accepted challengernewNew since September 2026: not ranked then, 9% now.06
K2View Test Data Management4%4%23accepted challengernewNew since September 2026: not ranked then, 4% now.
K2View Test Data Management4%4%23accepted challengernewNew since September 2026: not ranked then, 4% now.Show the three products at 0%, ordered by negative rate
10
Informatica Intelligent Data Management Cloud0%36%14criticized challengernewNew since September 2026: not ranked then, 0% now.
Informatica Intelligent Data Management Cloud0%36%14criticized challengernewNew since September 2026: not ranked then, 0% now.09
Microsoft SQL Server0%30%10criticized challengernewNew since September 2026: not ranked then, 0% now.
Microsoft SQL Server0%30%10criticized challengernewNew since September 2026: not ranked then, 0% now.08IBM InfoSphere Optim0%18%11accepted challengernewNew since September 2026: not ranked then, 0% now.
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
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
Head to head
All twenty-one head-to-head pages: the top seven products, each against each
DATPROF vs DelphixDATPROF vs K2View Test Data ManagementDATPROF vs GenRocketTonic.ai vs IRI FieldShieldTonic.ai vs Oracle Data Masking and SubsettingTonic.ai vs DelphixTonic.ai vs K2View Test Data ManagementTonic.ai vs GenRocketIRI FieldShield vs Oracle Data Masking and SubsettingIRI FieldShield vs DelphixIRI FieldShield vs K2View Test Data ManagementIRI FieldShield vs GenRocketOracle Data Masking and Subsetting vs DelphixOracle Data Masking and Subsetting vs K2View Test Data ManagementOracle Data Masking and Subsetting vs GenRocketDelphix vs K2View Test Data ManagementDelphix vs GenRocketK2View Test Data Management vs GenRocket
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01
02I03
04
0506
07I08
0910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative30%
Key
01DATPROF17%
DATPROF17%02Tonic.ai11%
Tonic.ai11%03IRI FieldShield9%
04Oracle Data Masking and Subsetting9%
Oracle Data Masking and Subsetting9%05Delphix4%
Delphix4%06K2View Test Data Management4%
K2View Test Data Management4%07GenRocket4%
GenRocket4%08IBM InfoSphere Optim0%
09Microsoft SQL Server0%
Microsoft SQL Server0%10Informatica Intelligent Data Management Cloud0%
Informatica Intelligent Data Management Cloud0%What they warned about
Two of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5 and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Delphix27%
10 of 37 labels negative · 7 of 14 models · 1 hard negative
“What to Avoid (Unless You Have Enterprise Budget) ... Excellent but expensive” Kimi K2, paraphrase prompt
Informatica Intelligent Data Management Cloud36%
5 of 14 labels negative · 4 of 14 models
“commercial enterprise tools (like Informatica or Delphix) can cost hundreds of thousands of dollars” Qwen 3.7 Flash, budget prompt
Microsoft SQL Server30%
3 of 10 labels negative · 3 of 14 models
“Many major database engines (e.g., SQL Server, Oracle, Snowflake) offer native, built-in Dynamic Data Masking (DDM) out of the box. While convenient, relying on these as your primary defense is highly risky.” Gemini 3.5 Flash, negative prompt
Oracle Data Masking and Subsetting14%
3 of 22 labels negative · 3 of 14 models
“Oracle Data Masking and Subsetting is native to Oracle Enterprise Manager and only sensible if your estate is Oracle. Using it outside Oracle adds integration risk and limited coverage.” Muse Glimmer 30B, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
77 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1015 links across 195 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · OvalEdge39 answers · 43 citations · 12 models
vendor site · K2view35 answers · 45 citations · 11 models
vendor site · Hevo Data35 answers · 35 citations · 11 models
vendor site · IRI31 answers · 42 citations · 13 models
31 answers · 32 citations · 12 models
27 answers · 27 citations · 11 models
vendor site · Atlan25 answers · 25 citations · 9 models
25 answers · 25 citations · 11 models
vendor site · G222 answers · 39 citations · 11 models
21 answers · 23 citations · 7 models
vendor site · Salesforce19 answers · 25 citations · 10 models
19 answers · 20 citations · 10 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
35 answers · 11 models
33 answers · 11 models
26 answers · 11 models
25 answers · 9 models
23 answers · 11 models
21 answers · 11 models
21 answers · 10 models
20 answers · 7 models
19 answers · 10 models
18 answers · 10 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best data masking tool”, “data masking tool”, “data masking tools”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|
| DATPROF datprof.com | 17% | 52 | 30 | 0 | 790 | 8 | |
| Tonic.ai tonic.ai Tonic.ai 11%, Tonic Structural 4% | 15% | 48 | 590 | 6 | 7,631 | 17 | 3 |
| IRI FieldShield | 9% | 10 | 0 | ||||
| Oracle parent site Oracle Data Masking and Subsetting 9% | 9% | 66 | 450,000 | 66,611 | |||
| Microsoft parent site Microsoft Presidio 9% | 9% | 17 | 2,240,000 | 403,136 | |||
| Greenmask greenmask.io | 7% | 30 | 3,600 | 0 | 9 | ||
| PostgreSQL postgresql.org PostgreSQL Anonymizer 6% | 6% | 28 | 74,000 | 14,143 | 465,585 company | ||
| Delphix delphix.com | 4% | 93 | 1,900 | 19 | 758 | ||
| K2View Test Data Management k2view.com | 4% | 68 | 40 | 0 | 22,241 | 38 | 1 |
| GenRocket genrocket.com | 4% | 13 | 320 | 3 | 211 |
Google's top ten for the three searches hold 22 sites; 5 of them are among the sites the models cited here (iri.com, k2view.com, ovaledge.com, salesforce.com, thectoclub.com). The first result for “best data masking tool” is gartner.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best data masking tool for a mid-market B2B company?”Paraphrase“Which test data management tool would you recommend to a mid-sized B2B company?”Comparative“What are the top data masking tools and how do they differ?”Budget-constrained“What is the best data masking tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a data masking tool. What should we look at?”Negative“Which data masking tools should I avoid or be cautious about?”
Claude Haiku 4.5IRI FieldShieldDATPROFChangedno first choiceIRI FieldShieldno first choicenothing named
Four alternatives
DATPROF, Informatica Cloud Data Masking, Oracle Data Masking and Subsetting, Tonic.aiThree alternatives
GenRocket, K2View Test Data Management, Perforce DelphixTwo alternatives
Accutive Data Discovery & Masking, IBM InfoSphere Optim Data PrivacyGPT-5.4 miniK2View Test Data Managementagainst: IBMBroadcom Test Data ManagerChangedDelphix, IBM InfoSphere OptimSDSAagainst: IRI DarkShieldno first choicenothing named
Three alternatives
Broadcom, HushHush Data Masking Components, Oracle Data SafeTwo alternatives
Delphix, Informatica Test Data ManagerFive alternatives
IRI FieldShield, Informatica Persistent Data Masking, Microsoft Purview, Oracle Data Safe / Oracle data masking, Snowflake Dynamic Data MaskingOne alternative
DataMaskerGemini 3.5 FlashTonic.aiagainst: IBM Optim, Informatica Intelligent Data Management CloudTonic.aiHeldagainst: Broadcom TDM, IBM InfoSphere OptimDelphix, Tonic.aiGreenmask, Neosyncagainst: Delphix, Informatica Intelligent Data Management CloudAutonoma, DataMasque, Tonic.aiagainst: Microsoft SQL Server, Oracle, Snowflake
Four alternatives
ALTR, Accutive Data Discovery & Masking, Immuta, Satori CyberTwo alternatives
DATPROF, MOSTLY AIFour alternatives
DATPROF, Informatica TDM, K2View Test Data Management, Mage Data PlatformFive alternatives
DATPROF Privacy, Faker, IRI FieldShield / DarkShield, Microsoft Presidio, PostgreSQL AnonymizerThree alternatives
Immuta, OvalEdge, SecuPiPerplexity SonarOracle Data Masking and SubsettingDATPROFChangedno first choiceIRI FieldShieldno first choicenothing named
Two alternatives
IRI FieldShield, K2View Test Data ManagementThree alternatives
Broadcom Test Data Manager, Delphix, GenRocketOne alternative
PostgreSQL AnonymizerGrok 4.1 FastOracle Data Masking and Subsetting, Tonic.aiDATPROFChangedagainst: Broadcom TDM, DelphixDelphix, Informatica Intelligent Data Management CloudARX Data Anonymization Tool, Microsoft Presidiono first choiceagainst: AWS Lambda Powertools, Azure SQL DDM, Microsoft SQL DDM, Oracle Data Masking and Subsetting, PostgreSQL Anonymizer
Three alternatives
DATPROF, Delphix, Microsoft SQL Data MaskingOne alternative
GenRocketEight alternatives
IBM InfoSphere Optim, Immuta, Imperva, K2View Test Data Management, Microsoft SQL Server, OpenText Voltage SecureData, Oracle Data Masking and Subsetting, Protegrity Data Protection PlatformThree alternatives
DataMasque, Redgate SQL Data Masker, TalendMistral SmallOracle Data Masking and SubsettingDATPROF, GenRocketChangedno first choiceARX Data Anonymization Tool, Microsoft Presidiono first choiceagainst: Microsoft SQL Server
Five alternatives
DATPROF, Delphix, IBM InfoSphere Guardium, Oracle Data Masking and Subsetting, Salesforce Data Mask & SeedTwo alternatives
Greenmask, TalendDeepSeek V4 FlashIRI FieldShieldDATPROFChangedagainst: Perforce DelphixDelphixagainst: Microsoft SQL Server Dynamic Data MaskingGreenmask, Microsoft Presidioagainst: Delphixno first choiceagainst: Datafaker, Delphix, Doxis AI.dp, Faker, Informatica PDM, Mask-Me, Microsoft SQL Server Dynamic Data Masking, Oracle Data Masking and Subsetting, RedactingLib
Three alternatives
DATPROF, K2View Test Data Management, Microsoft SQL ServerOne alternative
GenRocketFive alternatives
IBM InfoSphere Optim Data Privacy, IRI FieldShield / DarkShield, Informatica Data Masking, K2View Test Data Management, Oracle Data Masking and SubsettingThree alternatives
DBHawk, Redgate Data Masker, Tonic.aiLlama 4 MaverickOracle Data Masking and Subsettingagainst: DelphixK2View Test Data ManagementChangedno first choiceno first choiceno first choiceagainst: Delphix, Informatica Intelligent Data Management Cloud, Redaction
Two alternatives
IBM InfoSphere Optim Data Privacy, Informatica Data Privacy ToolTwo alternatives
Enov8, Tonic.aiQwen 3.7 FlashArmatixDATPROF, GenRocketChangedagainst: Delphix, IBM InfoSphereDelphixagainst: Microsoft Azure Data Lake / SQL Server Dynamic Data MaskingGreenmaskagainst: Delphix, Informatica Intelligent Data Management Cloudno first choiceagainst: Fogger, Masked-AI
Five alternatives
AWS Data Sync / AWS Glue, GoodData, GreatMasking, Informatica Intelligent Data Management Cloud, Microsoft PurviewOne alternative
Broadcom Test Data ManagerFour alternatives
IBM Voltana SecureData, IRI CoSort / FieldShield, Immuta, Informatica Persistent & Dynamic Data MaskingSix alternatives
Azure SQL, IRI FieldShield, Microsoft Presidio, Microsoft SQL Server, PostgreSQL Anonymizer, Tonic.aiKimi K2IRI FieldShieldDATPROFChangedagainst: Delphix, IBM InfoSphere Optim, Informatica TDMDelphix Data PlatformMicrosoft Presidiono first choiceagainst: Microsoft SQL Server Dynamic Data Masking, Oracle Data Redaction
Four alternatives
DataMasque, K2View Test Data Management, Satori Data Security Platform, Tonic.aiOne alternative
GenRocketFive alternatives
IBM InfoSphere Optim Data Privacy, Informatica Persistent Data Masking, Microsoft Purview, Microsoft SQL Server Dynamic Data Masking, Oracle Data Masking and SubsettingTwo alternatives
Greenmask, PostgreSQL AnonymizerGLM 4.7 FlashXTonic.aiDelphix, Redgate SQL ToolbeltChangedagainst: Informatica Intelligent Data Cloudno first choiceGreenmask, Microsoft Presidiono first choicenothing named
Two alternatives
Delphix, VGS PlatformOne alternative
ApplitoolsTwelve alternatives
Accutive Data Discovery & Masking, Azure Data Masking, Delphix, IBM InfoSphere Optim, IRI FieldShield, Immuta, Informatica Data Masking, K2View Data Masking, Microsoft SQL Server Dynamic Data Masking, OpenText Voltage SecureData, Oracle Data Masking and Subsetting, PrivaceraThree alternatives
DATPROF, DataVeil, IRI FieldShieldMiniMax M2.5Delphix, Oracle Data Masking and SubsettingDATPROFChangedDelphixPostgreSQL Anonymizerno first choiceagainst: AWS, Azure, GCP, Snowflake
Two alternatives
DataSunrise, IBM InfoSphere OptimOne alternative
GenRocketFive alternatives
Azure Data Masking, IBM Optim Data Masking, Imperva Dynamic Masking, Oracle Data Masking and Subsetting, Voltage SecureDataFour alternatives
DATPROF, Greenmask, IRI FieldShield, Microsoft SQL ServerGPT-6 LunaTonic StructuralTonic StructuralHeldPerforce DelphixPostgreSQL Anonymizeragainst: Delphix, Dynamic Data Masking, Tonic Structuralno first choiceagainst: AWS Lambda Powertools for Python
Three alternatives
K2View Test Data Management, Perforce Delphix, Redgate Data MaskerTwo alternatives
Delphix, K2View Test Data ManagementFive alternatives
DATPROF Privacy, IBM Optim Data Privacy, Informatica Persistent / Cloud Data Masking, K2View Test Data Management, Tonic.aiOne alternative
GreenmaskMuse Glimmer 30BTonic.aiagainst: Informatica Intelligent Data Management Cloud, K2View Test Data ManagementDATPROFChangedDelphix, Informatica Data Maskingagainst: Microsoft SQL ServerPostgreSQL Anonymizerno first choiceagainst: Oracle Data Masking and Subsetting
Three alternatives
Camouflage, Delphix, IRI FieldShieldThree alternatives
ADM, GenRocket, Perforce DelphixFour alternatives
IBM InfoSphere Optim, IRI FieldShield, Oracle Data Masking and Subsetting, OvalEdgeThree alternatives
ARX Data Anonymization Tool, IRI FieldShield, Microsoft SQL ServerBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 01:28 | yes | 9 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:56 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:16 | yes | 17 | 29 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-04 23:09 | yes | 20 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 01:21 | yes | 23 | 9 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:50 | yes | 10 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:41 | yes | 22 | 29 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:41 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:42 | no | 0 | 27 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 01:09 | yes | 21 | 27 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:22 | yes | 23 | 96 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:33 | yes | 15 | 34 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-05 01:51 | yes | 5 | 19 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:14 | yes | 15 | 13 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:56 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 22:09 | yes | 3 | 6 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:18 | yes | 8 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-05 00:47 | yes | 20 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:25 | yes | 19 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:45 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:47 | yes | 23 | 64 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:53 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:02 | yes | 5 | 16 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 01:15 | yes | 19 | 31 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 23:52 | no | 0 | 74 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 01:42 | yes | 19 | 31 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:12 | yes | 3 | 14 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:23 | yes | 13 | 13 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:02 | yes | 9 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:58 | yes | 9 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:30 | yes | 15 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-05 01:01 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 01:04 | yes | 18 | 12 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 01:16 | yes | 15 | 27 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 01:12 | yes | 18 | 68 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 01:57 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:39 | yes | 15 | 25 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:28 | yes | 12 | 26 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 23:51 | yes | 17 | 120 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:22 | yes | 5 | 11 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:03 | yes | 7 | 24 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 01:46 | yes | 13 | 22 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:32 | yes | 10 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:41 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:08 | yes | 18 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-04 22:37 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:28 | yes | 23 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:38 | yes | 9 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:27 | yes | 23 | 33 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:53 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:03 | yes | 9 | 41 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:10 | yes | 16 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:07 | yes | 13 | 78 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 01:49 | yes | 19 | 63 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:48 | yes | 3 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:52 | yes | 13 | 17 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:30 | no | 0 | 5 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:53 | no | 0 | 5 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:27 | yes | 14 | 27 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-05 01:02 | yes | 16 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:40 | yes | 14 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 01:46 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 01:20 | yes | 16 | 68 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:07 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 01:53 | no | 0 | 28 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:25 | yes | 24 | 30 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:25 | no | 0 | 16 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:53 | yes | 5 | 18 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:52 | yes | 1 | 16 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:56 | yes | 15 | 27 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 01:57 | yes | 18 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:40 | yes | 2 | 4 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:38 | yes | 15 | 26 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-04 23:56 | yes | 18 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:58 | yes | 23 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:45 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:34 | yes | 20 | 41 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 01:10 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 01:19 | yes | 9 | 41 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:46 | yes | 25 | 26 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:47 | yes | 18 | 28 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:48 | yes | 21 | 29 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:35 | yes | 3 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:43 | yes | 23 | 24 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Broadcom (CA) Test Data Manager read as Broadcom Test Data Manager
Informatica read as Informatica Intelligent Data Management Cloud
K2View read as K2View Test Data Management
K2view read as K2View Test Data Management
Microsoft Azure read as Microsoft SQL Server
Oracle Data Masking read as Oracle Data Masking and Subsetting
Oracle Data Masking & Subsetting read as Oracle Data Masking and Subsetting
Unresolved, counted raw
ALTR
AWS CloudTrail masking
AWS Data Sync / AWS Glue
AWS Lambda Powertools (Python data masking)
AWS Lambda Powertools for Python
Accutive DM
Alibaba Cloud DataWorks desensitization
Anonymizer
Applitools
Armatix
Autonoma
Camouflage
DBHawk
Datafaker
Delphix Data Platform
Faker libraries
GreatMasking
HushHush Data Masking Components
IBM InfoSphere Guardium
IBM Optim Data Masking
IBM Voltana SecureData (formerly Voltage Security)
IRI CoSort / FieldShield
Imperva Dynamic Masking
Informatica PDM
Informatica Persistent / Cloud Data Masking
Informatica Test Data Manager
MENTIS
Mask-Me
Microsoft Azure Data Lake / SQL Server Dynamic Data Masking
Microsoft Purview Data Masking
Microsoft SQL DDM
Microsoft SQL Data Masking (Dynamic Data Masking in Azure SQL/SSMS)
Persistent Data Masking
Protegrity Data Protection Platform
RedactingLib
Redaction
Redgate SQL Data Generator
Redgate SQL Toolbelt
SDSA
Salesforce Platform masking
Satori Cyber
Snowflake Dynamic Data Masking
Solix CDP
VGS Platform
Voltage SecureData
Discontinued, still offered
No shut-down product was recommended here.
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