RNDGEN

4.5
Expert ScoreRead review

RNDGen Random Data Generator – best decision for generating test data in different formats.

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RNDGen is a web-based tool that simplifies the creation of random test data for developers, testers, and data analysts. It offers a user-friendly interface that generates data in various formats, including CSV, JSON, XML, and SQL. It supports a wide range of data types, such as names, emails, addresses, phone numbers, dates, ZIP codes, VIN codes, and more. Furthermore, RNDGen allows you to customize data generation rules to meet specific requirements. This makes it an ideal solution for a broad range of testing scenarios.

4.5Expert Score
RNDGEN RNDGen Random Data Generator - best decision for generating test data in different formats.
General Features
2.3
Flexibility
3.1
System Coverage
2.6
Data Coverage
4.6
Cost
10
PROS
  • Completely free
  • User-friendly web-based tool
  • Generate unlimited data rows in various formats: CSV, SQL, JSON, XML, and Excel.
CONS
  • May not be suitable for small-scale projects
  • No open-source
  • No built-in data masking

Specification: RNDGEN

Generic Features
Synthetic Test Data Creation

✅
Single-Click Test Data Generation

✅
Data Masking

❌
Auto-Detection of DB Constraints

❌
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

Unknown
Deterministic Data Masking

❌
Inter-column dependency support

❌
Localization

❌
Micro or Macrocosm Subsets

❌
Multi-Table Seed Data

❌
Primary And Foreign Key Synthesis

Unknown
Primary & Foreign Keys Preserved

❌
Privacy Verification

❌
Schema change alerts

❌
Table Truncation

❌
Extendibility & Customization
Custom Data Weighting

Unknown
Custom Generator Support

❌
Script Languages for data processing

❌
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

✅
Generation Types
Built-In Data Generators

100+
Salesforce

❌
Security, Accessibility, and Usability
API

❌
Audit Trails

❌
Collaboration

Unknown
Command-line interface

❌
GUI

✅
On-Premise Deployment

Unknown
Role-Based Access Control

❌
Single Sign-On

❌
User Interface

WebApplication
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

❌
Free Plan

✅
Available Editions

Unknown
Max Users

unlimited
Maximum number of databases

unlimited
Source Database Limit

unlimited
Email-Support

✅
Live Chat Support

❌
SLA

❌
Support Languages

English + more then 40 others
Dedicated Contact

❌
Pricing

Free
Specification
Multiprocessing

Unknown
AI features

❌
Complex JSON

✅
Model-Based Data Generation

May not be suitable for small-scale projects
Good To Know
Learn More About Testing Data
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