DATPROF Privacy

3.6
Expert ScoreRead review
  • Test data management suite
  • Data masking, subsetting, and synthetic data
  • Streamlines data provisioning

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Datprof Privacy is a test data management tool that specializes in data masking and subsetting for privacy and compliance purposes. It offers advanced data masking features, including pseudonymization, anonymization, and encryption, to protect sensitive data in test environments. Datprof Privacy supports a wide range of database types and offers a user-friendly interface, allowing users to easily define and apply data masking rules. It also provides data subsetting capabilities to reduce the size of test data sets while maintaining data integrity.

3.6Expert Score
DATPROF Privacy
  • Test data management suite
  • Data masking, subsetting, and synthetic data
  • Streamlines data provisioning
General Features
6.4
Flexibility
3.8
System Coverage
2.5
Data Coverage
5.4
Cost
0
PROS
  • Data masking and subsetting
  • Supports multiple databases
  • Comprehensive data privacy features
CONS
  • May require technical expertise
  • Higher cost compared to some alternatives
  • Limited documentation and support resources

Specification: DATPROF Privacy

Generic Features
Synthetic Test Data Creation

Single-Click Test Data Generation

Unknown

Data Masking

Auto-Detection of DB Constraints

Identically Repeatable Data Generation

Unknown

On Demand Data Refresh (Watermark)

Unknown

Database Subsetting

Multi-Database Subsetting

Job Scheduling

Continuous Integration Support

Advanced Features
Consistency

Custom SELECTS

Unknown

Data File Import

CSV, XML

Deterministic Data Masking

Inter-column dependency support

Localization

Unknown

Micro or Macrocosm Subsets

Unknown

Multi-Table Seed Data

Unknown

Primary And Foreign Key Synthesis

Primary & Foreign Keys Preserved

Unknown

Privacy Verification

Unknown

Schema change alerts

Table Truncation

Unknown

Extendibility & Customization
Custom Data Weighting

Custom Generator Support

Script Languages for data processing

Unknown

User-Defined Generators

User-Defined Distribution Functions

User-Defined Number Series

Extension to custom software system types

Pluggability of individual script languages

User-Defined Data Converters

User-Defined Data Validators

Extension to individual file types

Unknown

Generation Types
Built-In Data Generators

50

Salesforce

Security, Accessibility, and Usability
API

Audit Trails

Collaboration

Command-line interface

GUI

On-Premise Deployment

Role-Based Access Control

Single Sign-On

User Interface

Windows GUI

Supported Systems
Advantage Database

Amazon Aurora

Amazon Redshift

Apache Spark

AWS S3

BaaN

Cassandra CQL

Databricks

DataWarehouse

dBase

EnterpriseDB (Postgres)

Firebase

Firebird

GCP (Google Cloud Storage)

Google BigQuery

IBM DB2

InfluxDB

Informix

Interbase

JD Edwards

JMS

Kafka

Microsoft Access

Microsoft SQL Server

MongoDB

MS Azure SQL

MySQL

NexusDB

Oracle

Oracle E-Business Suite

Oracle Transportation Management

Peoplesoft

PeopleSoft HCM

PostgreSQL

Siebel

Snowflake

SQL Anywhere

SQLite

Sybase

Terradata

Yellowbrick

Unknown

Supported Formats
CSV

Fixed Column Width Files

Excel

XML

SQL

JSON

AVRO

EDIFACT

YAML

DbUnit XML

HTML

Licensing & Usage Tiers
Trial

Unknown

Available Editions

Unknown

Max Users

1

Maximum number of databases

unlimited

Source Database Limit

unlimited

Email-Support

Live Chat Support

Unknown

SLA

Unknown

Support Languages

English

Dedicated Contact

Pricing

on request

Specification
Multiprocessing

Unknown

AI features

Unknown

Complex JSON

Model-Based Data Generation

May require technical expertise

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