# Greenmask alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 224 of the 252 answers in the 1 category where Greenmask holds a standing named it neither first nor as an alternative; these are the first choices those answers made. Page: https://www.gane.ai/index/it/vendors/greenmask/alternatives

## Named instead, most often (every category and segment added)

- Perforce Delphix: 22
- Delphix: 21
- DataVeil: 18
- DATPROF Privacy: 14
- K2View Test Data Management: 14
- Tonic.ai: 10

## Data masking and test data management

**Small business**: 67 of 84 answers did not name Greenmask (Greenmask is #6 of 12 at 6%).

- DataVeil: first choice in 11 of those 67
- K2View Test Data Management: first choice in 7 of those 67
- Tonic.ai: first choice in 6 of those 67
- DATPROF Privacy: first choice in 4 of those 67
- IRI FieldShield: first choice in 3 of those 67
- Microsoft Presidio: first choice in 2 of those 67
- Mockaroo: first choice in 2 of those 67
- Neosync: first choice in 2 of those 67

**Mid-market**: 73 of 84 answers did not name Greenmask (Greenmask is #7 of 11 at 4%).

- DATPROF Privacy: first choice in 10 of those 73
- Delphix: first choice in 10 of those 73
- Perforce Delphix: first choice in 6 of those 73
- DataVeil: first choice in 4 of those 73
- Tonic.ai: first choice in 4 of those 73
- IRI FieldShield: first choice in 3 of those 73
- K2View Test Data Management: first choice in 2 of those 73
- Delphix Masking: first choice in 1 of those 73

**Enterprise**: 84 of 84 answers did not name Greenmask.

- Perforce Delphix: first choice in 16 of those 84
- Delphix: first choice in 11 of those 84
- Informatica Intelligent Data Management Cloud: first choice in 5 of those 84
- K2View Test Data Management: first choice in 5 of those 84
- Broadcom Test Data Manager: first choice in 3 of those 84
- DataVeil: first choice in 3 of those 84
- IBM InfoSphere Optim: first choice in 3 of those 84
- Oracle Data Masking and Subsetting: first choice in 3 of those 84

Published under CC BY 4.0. The output is the models' output; nothing here is a recommendation by the index.