RNDGEN

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 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

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

Specification: RNDGEN

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