DTM Data Generator

2.3
Expert ScoreRead review
  • Comprehensive test data management
  • Data generation, masking, and subsetting tools
  • Optimizes testing processes

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DTM Data Generator is a comprehensive test data generation tool that supports multiple database types, including Oracle, SQL Server, and PostgreSQL. It provides a user-friendly interface and powerful features, allowing users to create realistic test data based on their database schema. DTM Data Generator supports various data types and offers a wide range of data generation functions, including random values, sequences, and expressions. It also provides data masking and validation features to ensure data privacy and integrity in test environments.

2.3Expert Score
DTM Data Generator
  • Comprehensive test data management
  • Data generation, masking, and subsetting tools
  • Optimizes testing processes
General Features
3.8
Flexibility
3.7
System Coverage
3
Data Coverage
0.8
Cost
0
PROS
  • Supports multiple databases
  • Customizable data generation
  • Offers data masking capabilities
CONS
  • Outdated user interface
  • May require technical expertise
  • Limited community support

Specification: DTM Data Generator

Generic Features
Synthetic Test Data Creation

Single-Click Test Data Generation

Unknown

Data Masking

Auto-Detection of DB Constraints

SQL Serv

Identically Repeatable Data Generation

On Demand Data Refresh (Watermark)

Database Subsetting

Multi-Database Subsetting

Job Scheduling

Continuous Integration Support

Advanced Features
Consistency

Custom SELECTS

Data File Import

Excel, JSON, XML

Deterministic Data Masking

Inter-column dependency support

Localization

Micro or Macrocosm Subsets

Multi-Table Seed Data

Primary And Foreign Key Synthesis

Primary & Foreign Keys Preserved

Privacy Verification

Schema change alerts

Table Truncation

Extendibility & Customization
Custom Data Weighting

Custom Generator Support

Script Languages for data processing

Pearl, Python, Ruby

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

15

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

Native GUI

Supported Systems
Advantage Database

Amazon Aurora

Amazon Redshift

Apache Spark

AWS S3

BaaN

Cassandra CQL

Databricks

DataWarehouse

dBase

EnterpriseDB (Postgres)

Firebase

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

Free Plan

Available Editions

Enterprise, Pro, Standard

Max Users

1

Maximum number of databases

unlimited

Source Database Limit

unlimited

Email-Support

Unknown

Live Chat Support

Unknown

SLA

Unknown

Support Languages

English

Pricing

149$/y*User, 299$/y*User, 439$/y*User

Specification
Multiprocessing

AI features

Unknown

Complex JSON

Model-Based Data Generation

Outdated user interface

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