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MockBlast generates millions of rows of mock data for PostgreSQL, MySQL, MongoDB, SQLite, JSON, and CSV formats. It supports SQL schema import, foreign key relationships, and streaming downloads for large datasets.
MockBlast is an online mock data generator that creates production-ready seed data, test data, and dummy data for various database systems. It allows developers to generate millions of rows of realistic test data instantly without writing custom scripts, supporting PostgreSQL, MySQL, MongoDB, SQLite, JSON, and CSV formats.
The tool features SQL schema import capability where users can paste CREATE TABLE statements for automatic parsing. It supports multi-table generation for relational databases with foreign key relationships maintained through custom lists. MockBlast generates various data types including UUIDs, ObjectIds, names, emails, phone numbers, addresses, dates, timestamps, booleans, numbers, password hashes, API keys, and custom lists for enums.
MockBlast uses cloud-powered streaming technology to generate large datasets (up to 1 million rows) without freezing the browser. The platform operates with a privacy-first approach where generated data and schemas are not stored on servers. It understands database syntax natively to ensure INSERT statements work correctly on the first attempt.
The primary benefits include eliminating manual INSERT script writing, providing realistic test data for development, and supporting various use cases efficiently. It's particularly useful for database seeding, performance testing, UI development, and API testing scenarios where large amounts of realistic data are needed.
MockBlast targets developers who need to generate test data for databases and applications. It supports PostgreSQL, MySQL, SQLite, MongoDB, JSON, and CSV formats with commercial licensing available for teams and client work.
Key Features
- •SQL Schema Import allows users to paste CREATE TABLE statements which MockBlast automatically parses to extract column names, data types, and constraints for generating matching test data.
- •Multi-Table Generation supports relational databases by maintaining referential integrity through custom lists that define foreign key values across different tables.
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Publisher
A
admin
Launch Date2026-01-06
Platformweb
Pricingfreemium