Introducing DummyDataGenPro: Synthetic Test Data Generation Platform

I’m excited to announce the launch of DummyDataGenPro, a new web-based platform for generating synthetic test data that I’ve been building to solve a persistent challenge in performance testing: getting high-quality, realistic test data quickly.

The Test Data Problem

If you’ve worked in performance testing, QA, or software development, you’ve likely encountered these frustrations:

• Manual data generation is time-consuming - Writing scripts to generate thousands of realistic records takes hours
• Real customer data has compliance risks - GDPR, HIPAA, and other regulations make using production data for testing problematic
• Generic random data lacks realism - Tests with user_12345 and test@example.com don’t surface real-world issues
• Existing tools are complex - Libraries like Faker require programming knowledge and careful schema design
• Scaling is difficult - Generating millions of rows often means memory issues and long wait times

These problems compound when you’re trying to test performance at scale. You need millions of realistic records that follow proper distributions, maintain referential integrity, and match the patterns of real user behavior - not just random strings.

Enter DummyDataGenPro

DummyDataGenPro is designed specifically to address these pain points. It’s a web-based synthetic test data generation platform with three core principles:

1. Domain-specific templates - Pre-built templates for real-world scenarios, not generic field generators
2. Web-based simplicity - No installation, no Python environments, works in your browser
3. Scale without complexity - Generate up to 10M+ rows with streaming, no memory constraints

Start Free, Scale When Ready

The platform offers a generous free tier (no credit card required) so you can explore the templates and generate small datasets immediately. When you need larger datasets or on-demand generation, Basic (£15/month) and Pro (£39/month) tiers scale with your testing requirements.

Key Features

50+ Pre-Built Templates Across 8 Domains

Instead of manually composing schemas, choose from a growing library of templates:

• E-commerce - Product catalogs, orders, reviews, inventory, shopping carts
• SaaS/CRM - Organizations, contacts, deals, support tickets, user activity
• Social/Content - User profiles, posts, comments, engagement metrics
• Financial - Transactions, accounts, payments, ledgers, invoices
• Healthcare - Patient records, encounters, prescriptions, lab results
• Testing - JMeter JTL files, API access logs, IoT telemetry
• HR - Employee records, performance reviews, timesheets, payroll
• Logistics - Shipments, warehouses, suppliers
• Education - Students, courses, enrollments, grades, assessments
• Marketing - Campaign data, ad impressions, web analytics
• Telecom - Call records, subscriber data, network metrics

The library continues to expand based on user feedback and industry testing needs. Currently at 50+ templates, with more planned for 2026.

Three Output Formats

Export data in the format that matches your workflow:

• JSONL (JSON Lines) - Streaming-friendly, one object per line
• CSV - Universal format for spreadsheets, databases, and ETL tools
• Parquet - Columnar format optimized for analytics and big data processing

Schema Builder for Custom Data Structures

Need data structures beyond the pre-built templates? The visual Schema Builder lets you define custom schemas with specific field types, constraints, and relationships. Choose from dozens of field types (strings, integers, emails, dates, UUIDs, etc.) and build exactly the data structure you need.

This is particularly useful when:

• Your application has unique domain models not covered by templates
• You need specific field constraints or validation patterns
• You’re testing custom database schemas or APIs

Multi-Locale Support for International Testing

Test internationalization properly with realistic data in 8 locales:

• English (US, UK)
• German
• French
• Spanish
• Japanese
• Italian
• Portuguese

Names, addresses, phone numbers, and dates follow locale-specific formats. This is essential for testing international deployments and ensuring your application handles diverse input correctly.

Realistic Statistical Distributions

Beyond simple random data, DummyDataGenPro supports realistic distributions:

• Zipfian - Product popularity, word frequency (80/20 rule)
• Power-law - Network effects, user behavior patterns
• Normal (Gaussian) - Ratings, measurements, natural variations
• Exponential - Time between events, response times

These distributions are crucial for performance testing because they reflect real-world traffic patterns. Testing with uniform random data can miss performance bottlenecks that only appear with realistic load distributions.

Streaming for Massive Datasets

Generate up to 10M+ rows without memory constraints. The platform uses streaming to deliver data progressively, so you’re not waiting for the entire dataset to generate before downloading begins.

This makes it practical to create massive datasets for:

• Large-scale load testing
• Database performance testing
• Data pipeline stress testing
• Analytics platform validation

Real-World Use Cases for Performance Testers

JMeter JTL File Generation

Testing result analysis tools? Generate realistic JMeter JTL (result) files with thousands of sampler entries, realistic response times, and proper timestamp sequences. Perfect for validating dashboards, report generators, and analysis scripts.

API Access Log Simulation

Need to test log parsing, monitoring, or analytics tools? Generate API access logs with realistic traffic patterns, endpoint distributions, status codes, and response times. Test your observability stack with millions of log entries.

E-commerce Load Testing

Generate complete e-commerce datasets with:

• Product catalogs with SKUs, categories, pricing
• Customer profiles with realistic demographics
• Order histories with seasonal patterns
• Review data with sentiment distributions

Use these datasets to populate test databases for realistic load testing scenarios.

Multi-Locale User Testing

Test authentication, profile management, and localization with user datasets spanning multiple locales. Ensure your application handles international names, addresses, and phone formats correctly under load.

Why Web-Based?

A common question I’ve received is: “Why web-based instead of a CLI tool or Python library?”

Accessibility - Not every performance tester is a developer. A web interface makes synthetic data generation accessible to QA analysts, manual testers, and anyone who needs test data quickly.

No Environment Setup - No Python version conflicts, no dependency installation, no virtual environments. Just open a browser and generate data.

Immediate Updates - New templates and features roll out automatically. No package updates or version management.

The web-based approach prioritizes accessibility and ease of use, making test data generation available to everyone on the team regardless of technical background.

Pricing: Free to Start, Scale as Needed

Free Tier

• 1K-10K row pre-generated datasets
• All 50+ templates
• 10 downloads per day
• All output formats (JSONL, CSV, Parquet)
• No credit card required

Basic Tier - £15/month (or £150/year, save 17%)

• Up to 500K row pre-generated datasets
• On-demand generation up to 100K rows
• 100 downloads per day
• Schema Builder access
• JMeter test data generator

Pro Tier - £39/month (or £390/year, save 17%)

• Up to 10M row pre-generated datasets
• On-demand generation up to 1M rows
• 1000 downloads per day
• All Basic features
• Priority support

The free tier is genuinely useful for most small-scale testing needs. Upgrade when you need larger datasets, on-demand generation with custom parameters, or higher rate limits.

Technical Highlights

For those interested in the technical details:

• Backend: FastAPI (Python) with async request handling
• Frontend: React with TypeScript
• Deployment: Docker containers on VPS infrastructure
• Performance: Lighthouse scores ranging from 88-99 (Performance) and 74-100 (Accessibility) across pages
• Data Generation: Custom engine with pluggable template system
• Streaming: Chunked transfer encoding for large dataset delivery

The architecture is designed for horizontal scalability as usage grows.

Get Started Today

Visit dummydatagenpro.co.uk to create your free account and start generating synthetic test data.

No credit card required for the free tier. You can start generating test data in under 60 seconds.

What’s Next

The platform continues to evolve with new templates and improvements. Current focus areas include:

• Template Expansion - Growing the template library based on user feedback
• More Locales - Expanding beyond current 8 locales based on user requests
• Enhanced JMeter Support - Additional JMeter-specific test data scenarios
• Performance Optimizations - Faster generation for large datasets

If you have specific template requests or feature suggestions, I’d love to hear from you via the contact form or on the platform itself.

Explore the Store Product Page

For full details on features, pricing comparison, use cases, and FAQs, visit the DummyDataGenPro product page on this site.

Final Thoughts

Generating realistic test data shouldn’t be a bottleneck in your testing workflow. DummyDataGenPro aims to make synthetic data generation fast, accessible, and realistic for performance testers, QA teams, and developers.

Whether you’re load testing JMeter scripts, seeding development databases, or building demo environments, having realistic data at scale changes what’s possible.

Give it a try and let me know what you think. The free tier gives you plenty of room to explore, and I’m actively developing new features based on early user feedback.

Start generating synthetic test data today: dummydatagenpro.co.uk

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Have questions or feedback about DummyDataGenPro? Contact me or connect on LinkedIn.