Head-to-head · Data Masking Software
Tonic Structural vs Perforce Delphix Data Masking
Tonic Structural leads on 0 checks, Perforce Delphix Data Masking on 0, and 3 are even. Who comes out ahead on the 3 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreTonic Structural · 8.9/10
- Most featuresTonic Structural · 2 of 4
Tonic Structural scores higher on our rubric for data masking software: 8.9 against 8.6 out of 10; our editors rank them #4 and #7.
Tonic Structural is the better fit for large teams needing governed test-data masking. Perforce Delphix Data Masking is the better fit for organizations automating compliant masked data delivery.
- Tonic Structural fits best
Large teams needing governed test-data masking
- Perforce Delphix Data Masking fits best
Organizations automating compliant masked data delivery
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Side by side
| Feature | Tonic Structural 8.9/10 Visit ↗ | Perforce Delphix Data Masking 8.6/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.9 | 8.6 |
| Ranking | #4 in Data Masking Software | #7 in Data Masking Software |
| Best for | Large teams needing governed test-data masking | Organizations automating compliant masked data delivery |
| Pricing model | Paid | Paid |
| Starting price | — | Pricing on request |
| Free plan | — | Not checked yet |
| Free trial | — | — |
| Deployment | Cloud, Self-hosted | Cloud, Self-hosted |
| Platforms | Web | Web |
| Support | Email, Docs | Phone, Tickets, Community · 24/7 |
| Compliance | SOC 2, GDPR, HIPAA, SSO/SAML | GDPR, HIPAA, PCI DSS |
| Integrations | 13 integrations | 20 integrations |
| Built for | Small business, Mid-market, Enterprise | Enterprise |
| Features Tonic Structural 2/4 · Perforce Delphix Data Masking 0/4 | ||
| Synthetic data | Not checked yet | Not checked yet |
| Referential integrity | Not checked yet | Not checked yet |
| Data subsetting | ✓ (best) | Not checked yet |
| API access | ✓ (best) | Not checked yet |
| Specs | ||
| Masking methods | Not checked yet | Not checked yet |
| Deployment options | Not checked yet | Hybrid |
| Database connectors | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | Tonic Structural turns production-like structured and semi-structured data into datasets for software development, QA, and regulated work. It combines sensitive-data discovery with masking and synthesis, while preserving relationships when… Read the review → |
Perforce Delphix Data Masking is designed for enterprises that need to discover sensitive information and deliver realistic, fictitious data for development, testing, analytics, DevOps, and AI workflows. It supports web, API, and… Read the review → |
Strengths and trade-offs
Tonic Structural — where it wins
- Finds PII and PHI, then masks or synthesizes data consistently
- Subsets databases while preserving referential integrity
- Offers scheduled refreshes, APIs, audit trails, and broad connectors
Where it doesn't
- No free plan
- Professional is limited to 10TB, 10 users, and 2 data source types
- Pricing is custom, with no published numeric amounts
Perforce Delphix Data Masking — where it wins
- Discovers sensitive data across databases, files, lakes, and pipelines
- Preserves referential integrity across masked data sources
- Connects masking workflows to databases, DevOps, and observability tools
Where it doesn't
- Pricing requires contact with the Delphix team
- 24x7x365 support is limited to Platinum and PlatinumPlus tiers
- Its enterprise scope may exceed the needs of narrowly focused teams
- Tonic Structural8.9/10 · Pricing on request
Governed test-data masking with discovery, synthesis, and cloud or self-hosted deployment.
Try Tonic StructuralFull verdict → - Perforce Delphix Data Masking8.6/10 · Pricing on request
A broad enterprise masking platform for governed data delivery across hybrid environments.
Visit PerforceFull verdict →
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All data masking software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update




