Datanamic

1.6
Expert ScoreRead review
  • Database design and test data generation tools
  • Supports multiple databases
  • Streamlines data workflows

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Datanamic is a powerful test data generation tool that supports multiple database types, including Oracle, SQL Server, and PostgreSQL. It provides a user-friendly interface and a wide range of data generation features, allowing users to create realistic test data based on their database schema. Datanamic 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.

1.6Expert Score
Datanamic
  • Database design and test data generation tools
  • Supports multiple databases
  • Streamlines data workflows
General Features
2.6
Flexibility
0.6
System Coverage
2.7
Data Coverage
2.1
Cost
0
PROS
  • Supports multiple databases
  • Customizable data generation
  • Offers data masking capabilities
CONS
  • Outdated user interface
  • Limited community support
  • Not optimized for large-scale projects

Specification: Datanamic

Generic Features
Synthetic Test Data Creation

Single-Click Test Data Generation

Data Masking

Auto-Detection of DB Constraints

Identically Repeatable Data Generation

Unknown

On Demand Data Refresh (Watermark)

Unknown

Database Subsetting

Multi-Database Subsetting

Unknown

Job Scheduling

Unknown

Continuous Integration Support

Unknown

Advanced Features
Consistency

Unknown

Custom SELECTS

Unknown

Data File Import

Deterministic Data Masking

Unknown

Inter-column dependency support

Unknown

Localization

Unknown

Micro or Macrocosm Subsets

Unknown

Multi-Table Seed Data

Unknown

Primary And Foreign Key Synthesis

Unknown

Primary & Foreign Keys Preserved

Unknown

Privacy Verification

Unknown

Schema change alerts

Unknown

Table Truncation

Unknown

Extendibility & Customization
Custom Data Weighting

Unknown

Custom Generator Support

Unknown

Script Languages for data processing

Unknown

User-Defined Generators

Unknown

User-Defined Distribution Functions

Unknown

User-Defined Number Series

Unknown

Extension to custom software system types

Unknown

Pluggability of individual script languages

Unknown

User-Defined Data Converters

Unknown

User-Defined Data Validators

Unknown

Extension to individual file types

Unknown

Generation Types
Built-In Data Generators

40

Salesforce

Security, Accessibility, and Usability
API

Unknown

Audit Trails

Unknown

Collaboration

Unknown

Command-line interface

Unknown

GUI

Unknown

On-Premise Deployment

Unknown

Role-Based Access Control

Unknown

Single Sign-On

Unknown

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

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

Supported Formats
CSV

Fixed Column Width Files

Excel

XML

SQL

JSON

AVRO

EDIFACT

YAML

DbUnit XML

HTML

Licensing & Usage Tiers
Trial

Unknown

Free Plan

Unknown

Available Editions

Unknown

Max Users

Unknown

Maximum number of databases

Unknown

Source Database Limit

Unknown

Email-Support

Unknown

Live Chat Support

Unknown

SLA

Unknown

Support Languages

English

Dedicated Contact

Unknown

Pricing

59 $/m

Specification
Multiprocessing

Unknown

AI features

Unknown

Complex JSON

Model-Based Data Generation

Outdated user interface

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