Head-to-head · Data Masking Software
DataVeil vs K2view Data Masking
DataVeil leads on 0 checks, K2view Data Masking on 0, and 5 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreDataVeil · 9.2/10
- Free planonly DataVeil
- Most featuresK2view Data Masking · 4 of 4
DataVeil scores higher on our rubric for data masking software: 9.2 against 8.5 out of 10; our editors rank them #2 and #8.
On deployment options, K2view Data Masking gives you Hybrid where DataVeil offers On-premises.
DataVeil is the better fit for teams masking database copies with integrity preserved. K2view Data Masking is the better fit for complex enterprises masking data across landscapes.
- DataVeil fits best
Teams masking database copies with integrity preserved
- K2view Data Masking fits best
Complex enterprises masking data across landscapes
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Side by side
| Feature | DataVeil 9.2/10 Visit ↗ | K2view Data Masking 8.5/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 9.2 | 8.5 |
| Ranking | #2 in Data Masking Software | #8 in Data Masking Software |
| Best for | Teams masking database copies with integrity preserved | Complex enterprises masking data across landscapes |
| Pricing model | Free plan + paid | Paid |
| Starting price | $5,690/yr | Pricing on request |
| Free plan | ✓ (best) | Not checked yet |
| Free trial | — | — |
| Deployment | Desktop, Self-hosted | Cloud, Self-hosted |
| Platforms | Windows, Linux | Web |
| Support | Email, Tickets, Docs | Tickets, Community, Docs |
| Integrations | 6 integrations | 6 integrations |
| Built for | Small business, Mid-market, Enterprise | Enterprise, Mid-market |
| Features DataVeil 0/4 · K2view Data Masking 4/4 | ||
| Synthetic data | Not checked yet | ✓ (best) |
| Referential integrity | Not checked yet | ✓ (best) |
| Data subsetting | Not checked yet | ✓ (best) |
| API access | Not checked yet | ✓ (best) |
| Specs | ||
| Masking methods | Not checked yet | Both |
| Deployment options | On-premises | Hybrid |
| Database connectors | Not checked yet | Not checked yet |
| Our review | ||
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| Cons |
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| Our verdict | DataVeil is desktop data-masking software for permanently replacing sensitive information in copies of SQL databases with realistic fictitious values. It is intended for development, testing, training, analytics, outsourcing, and support… Read the review → |
K2view Data Masking is an enterprise platform for discovering, classifying, and protecting sensitive data across connected environments. It supports static and dynamic masking, PII classification, business-entity-based masking, synthetic… Read the review → |
Strengths and trade-offs
DataVeil — where it wins
- Preserves referential integrity while masking database copies
- Supports discovery, format-preserving, deterministic, and random masking
- Works with SQL Server, Azure SQL, Oracle, PostgreSQL, and MySQL
Where it doesn't
- It is static masking software, not activity-monitoring software
- Deployment is on-premises on Windows or Linux
- The documented paid price varies by connectivity and database size
K2view Data Masking — where it wins
- Static and dynamic masking across structured and unstructured data
- Preserves referential integrity across systems and business entities
- Supports subsetting, hybrid deployment, APIs, and broad source types
Where it doesn't
- Pricing requires contact with sales
- Broad capabilities may exceed the needs of narrow masking projects
- Cross-system masking requires careful policy and entity configuration
- DataVeil9.2/10 · Free plan
A focused masking tool with broad database coverage and a useful free Community plan.
Visit DataVeilFull verdict → - K2view Data Masking8.5/10 · Pricing on request
A broad enterprise masking platform for complex, connected data environments.
Visit K2viewFull verdict →
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- Perforce Delphix Data Masking vs K2view Data Masking
All data masking software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
Last updated · How we research and update




