testdatatools
Tools/DATPROF Privacy
Enterprise TDM

DATPROF Privacy

DATPROF Privacy is a proprietary database masking and generation tool. It can mask existing database values or generate new rows while preserving constraints; DATPROF Subset is a distinct product for database subsetting. 1

Sources reviewed

Manufacturer / project: DATPROF

When does it fit?

Best suited to database teams that need reusable masking templates, constrained synthetic rows, deterministic values and separation of project development from deployment. 1 · 2

Fit still depends on your mandatory requirements.

What should you check before choosing?

Privacy should not be credited with Subset product functionality by default; Runtime is separate, runtime deployment is not available for every database, and some workflows require elevated database permissions. 1 · 2 · 3 · 4 · 5

What must your PoC prove?

Use a parent/child fixture, one invalid row and a fixed expected result. Check cleanup after failure, restore the configuration and repeat with pinned inputs. Unresolved requirements need a demonstration.

Acceptance plan, not a product test result. Execution scope and limits.

Deployment and license

Windows GUI project authoring supports direct database deployment; runtime packages can separate development from execution, but DATPROF Runtime is separate and options vary by database. 1 · 2 · 3 · 4 · 5

Documentation refers to a purchased license key; no public price or edition pricing was found in the reviewed vendor sources. 1 · 2 · 3 · 4 · 5

Confirm the entitled version and operating requirements.

How you work with it

Author Privacy projects in the Windows GUI; separate Runtime packages support execution workflows. Subset is a distinct product. 1 · 2 · 3 · 4 · 5

Export does not establish compatibility with another runtime.

Documented capabilities

Synthetic generationConstraint-aware table generation
De-identification / maskingDatabase masking templates
Subsetting / subset planningUnclear
Data virtualizationUnclear
Seeded replay, scopedGeneration with explicit seed

Documentation is not a measured benchmark. Unclear is missing evidence; the comparison matrix explains the gap.

Sources and scope

Sources can cover different releases; they do not establish measured performance.

Open the cited sources (5)
  1. DATPROF Privacy Manual

    Official definition as proprietary database masking and generation tool; synthetic data creation.

    Source checked: 2026-10-01
  2. Data Generation - DATPROF Privacy

    Generation for existing tables with constraints; foreign-key generation; deterministic generation and reproducible output using seed value.

    Source checked: 2026-10-01
  3. Tool Overview - DATPROF Privacy

    Separate development and runtime deployment; Runtime is a separate product; availability varies by database.

    Source checked: 2026-10-01
  4. Requirements - DATPROF Privacy

    Database-specific requirements and permissions, demonstrating deployment/connection boundaries.

    Source checked: 2026-10-01
  5. DATPROF Subset Manual

    Separate DATPROF Subset product for database subsetting; supports product-boundary correction.

    Source checked: 2026-10-01

Use the same acceptance checks for your shortlist