DataVeil
7.5#2 in data masking softwareFrom $5,690 a yearFree planLinuxSelf-hostedWindows
VisitDataVeil vs Libelle DataMasking
Libelle DataMasking
5.8#9 in database security softwareLinuxmacOSSelf-hostedWindows
VisitWhat both publish
| Fact | DataVeil | Libelle DataMasking |
|---|---|---|
| Headquarters | Crunchbase lists the company headquarters in Melbourne, Victoria, Australia. | Leinfelden-Echterdingen, Germany |
| Intended use | The maker describes use for outsourcing, testing, development, training, data analysis and support. | The product is intended to provide anonymized data for development, testing, training, and expert analysis in non-production environments. |
| Operating systems | The specifications list Linux, Unix, and Windows desktop and server editions as supported operating systems. | Listed operating systems are AIX, HP-UX, Linux, macOS, Solaris, and Windows; the page notes Windows and PowerPC support. |
| Purpose | DataVeil permanently masks sensitive data in SQL databases with realistic fictitious values for use in environments such as testing, development, training, analytics and support. | It anonymizes sensitive and personal data in non-production systems while preserving referential integrity. |
DataVeil plans
- Community LicenseFree
- Team license$5,690 a year
- Team license example: one connectivity option and 1TB$5,690 a year
- Team license example: two connectivity options and 5TB$15,250 a year
Libelle DataMasking plans
- Libelle DataMasking licensePriced on request
Pick DataVeil if…
DataVeil suits teams that need masked SQL database copies for testing, development, training, analytics, or support. Its Community license may fit smaller databases, while the Team license is intended for licensed source-data capacity and includes technical support and updates.
Pick Libelle DataMasking if…
Libelle DataMasking suits organizations that need anonymized, realistic data for development, testing, training, or expert analysis in non-production environments. Its broad database and deployment support may fit teams working across varied systems.