# Tonic.ai alternatives: what AI models name instead, November 2026

Gane Index, November 2026 Edition. 211 of the 252 answers in the 1 category where Tonic.ai 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/tonic-ai/alternatives

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

- DataVeil: 20
- Perforce Delphix: 20
- Delphix: 19
- K2View Test Data Management: 12
- IRI FieldShield: 11
- DATPROF Privacy: 9

## Data masking and test data management

**Small business**: 64 of 84 answers did not name Tonic.ai (Tonic.ai is #5 of 12 at 6%).

- DataVeil: first choice in 12 of those 64
- IRI FieldShield: first choice in 7 of those 64
- K2View Test Data Management: first choice in 6 of those 64
- DATPROF Privacy: first choice in 3 of those 64
- Greenmask: first choice in 2 of those 64
- Microsoft Presidio: first choice in 2 of those 64
- Mockaroo: first choice in 2 of those 64
- PostgreSQL Anonymizer: first choice in 2 of those 64

**Mid-market**: 71 of 84 answers did not name Tonic.ai (Tonic.ai is #4 of 11 at 9%).

- Delphix: first choice in 9 of those 71
- DATPROF Privacy: first choice in 6 of those 71
- DataVeil: first choice in 5 of those 71
- Perforce Delphix: first choice in 5 of those 71
- IRI FieldShield: first choice in 4 of those 71
- Greenmask: first choice in 2 of those 71
- K2View Test Data Management: first choice in 2 of those 71
- Microsoft Presidio: first choice in 2 of those 71

**Enterprise**: 76 of 84 answers did not name Tonic.ai.

- Perforce Delphix: first choice in 15 of those 76
- Delphix: first choice in 10 of those 76
- Informatica Intelligent Data Management Cloud: first choice in 5 of those 76
- K2View Test Data Management: first choice in 4 of those 76
- Broadcom Test Data Manager: first choice in 3 of those 76
- DataVeil: first choice in 3 of those 76
- IBM InfoSphere Optim: first choice in 3 of those 76
- Oracle Data Masking and Subsetting: first choice in 3 of those 76

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