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

D3.js
Vizzu
Jupyter
Vega-Lite
nivo
Looker
Microsoft Power BI
Interactive code examples/posts

Which is more popular?
Based on our record, Observable seems to be more popular. It has been mentioned 347 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | dummydatabase.com | observablehq.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...
No description of Observable yet.
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.
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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 Observable.
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 DUMMY DATABASE and Observable. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


We have no reviews of DUMMY DATABASE yet. Be the first one to post
Observable is a Grafana alternative that enables users to visualize data via charts and dashboards using code.
A few options were disregarded from the start due to a hefty price tag, these were Looker, Tableau, Power BI, GoodData. A few options like Trevor.io, Preset, Observable were disregarded as they did not seem to fit our...
Recommendations tracked on public social media and blogs since March 2021.


Tracking DUMMY DATABASE since Aug 2025.
Holy hell, this is great. I once made a little tool for getting more intuitive spatial scales for things in the universe at https://observablehq.com/@ikesau/scale-to-the-universe I feel like you could do something similar for these sorts... - Source: Hacker News / 29 days ago
Folks may find https://observablehq.com/@fil/poisson-distribution-generators useful. - Source: Hacker News / about 1 month ago
That's because Gaussian splats are ellipses without any texture of their own (more or less), missing any texture that an actual brush stroke would have. Because the ellipses are so elongated in the finer details it feels like layered... - Source: Hacker News / 2 months ago
When comparing DUMMY DATABASE and Observable, you can also consider the following products.
A realistic data generator to test your app
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D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
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Vizzu lets you use animated charts to share insights in complex data sets as self-explanatory stories.
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Data generator that can create a table filled with pseudo-random content.
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Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
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