Join My Playlist
Partyhero
OutLoud Social Jukebox
Vertigo
The Wub Machine
itDj
TuneMeet
Listen to music with friends over Spotify at the same time

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

Which is more popular?
Website, pricing, platforms and company facts side by side.
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P
Parallel
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|
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|---|---|---|
| Website | s.parallel.fm | dummydatabase.com |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from Serbia · 1 - 9 employees · 2024 |
| Listed in |
In their own words, as submitted to SaaSHub.

No description of Parallel yet.
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...
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
Music enthusiasts who enjoy exploring new artists and genres, individuals who seek highly personalized music recommendations, and users who appreciate advanced algorithms that adapt to their listening habits.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing Parallel and DUMMY DATABASE.
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
Share your experience with using Parallel and DUMMY DATABASE. For example, how are they different and which one is better?
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