
Mockaroo
DataConstruct
Data Creator
Datamade
Random Data
Generate and manage synthetic datasets easily with DUMMY DATABASE

GitHub
BitBucket
GitLab
Phabricator
SourceForge
Jira
SourceTree
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Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | dummydatabase.com | assembla.com |
| Pricing | ||
| Platforms | — | |
| Company | Startup from Serbia · 1 - 9 employees · 2024 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Dummy Database is built to solve a simple, yet annoying problem — generating realistic test datasets quickly, without writing scripts or juggling Excel files. It’s designed for: - Developers needing dummy databases for prototyping & testing. - Analysts and BI specialists preparing demo...
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What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
Overall verdict
Why this product is good
Recommended for
Assembla is recommended for software development teams looking for a comprehensive project management platform with strong version control support. It is particularly suited for distributed teams and organizations that require integration with tools like Git, Perforce, and Subversion. It may also be a good fit for teams that need detailed tracking and reporting capabilities.
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DUMMY DATABASE and Assembla.
DUMMY DATABASE's answer
A free, all-in-one data generation platform that builds everything from simple tables to full relational databases with advanced controls, unique event sequences, ERD visualization, built-in SQL querying, and multiple export formats — no limits, no paywalls.
DUMMY DATABASE's answer
Unlike other data generators, DUMMY DATABASE gives you full relational database creation, unique event simulations, advanced control over every field, built-in SQL querying, and generous free limits — so you can go from idea to test-ready data without restrictions, subscriptions, or hidden fees
DUMMY DATABASE's answer
DUMMY DATABASE's answer
Began as a project for myself to be able to have custom datasets for testing purpose I've decided that it could be useful for wider audience and finalized it as a full-stack web project
DUMMY DATABASE's answer
Python, Flask, HTML, CSS, Bootstrap, Redis, PostgreSQL, JavaScript
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External articles and on-site reviews we used to compare the two products.


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