
Vercel
Netlify
Cloudflare Pages
Jekyll
surge.sh
Neocities
tiiny.host
A free, static web host for open-source projects on GitHub

Mockaroo
DataConstruct
Data Creator
Datamade
Random Data
Generate and manage synthetic datasets easily with DUMMY DATABASE
Which is more popular?
Based on our record, GitHub Pages seems to be more popular. It has been mentioned 504 times since March 2021.
Website, pricing, platforms and company facts side by side.
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|---|---|---|
| Website | pages.github.com | 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 GitHub Pages 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
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Intro to GitHub Pages
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing GitHub Pages 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 GitHub Pages and DUMMY DATABASE. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


GitHub Pages is a free hosting service provided by GitHub, primarily intended for hosting static sites directly from a GitHub repository. While it lacks some of the advanced features found in other platforms, its...
Static Site Generators — It is a good way for developers to build sites on GitHub pages with the help of site generators. Yes, it has the ability to publish and release any static file. But it is recommended to...
We have no reviews of DUMMY DATABASE yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


The site itself is a statically generated Next.js app, built in CI and deployed to GitHub Pages via actions/deploy-pages. No server to manage, no hosting bill. - Source: dev.to / 5 months ago
Static sites are fast and cheap to host, but your data goes stale the moment you deploy. This post shows how a SvelteKit portfolio site serves live data from five external sources while still deploying as static HTML to GitHub Pages. - Source: dev.to / 6 months ago
All three themes are designed for accessible deployment. You can host them for free on Netlify, GitHub Pages, Vercel, or Cloudflare Pages. The only cost is a domain name (which can be as cheap as $5/year on Porkbun). - Source: dev.to / 7 months ago
Tracking DUMMY DATABASE since Aug 2025.
When comparing GitHub Pages and DUMMY DATABASE, you can also consider the following products.

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A realistic data generator to test your app
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Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket
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Deploy blazing fast static sites and serverless functions.
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Data generator that can create a table filled with pseudo-random content.
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