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Generate and manage synthetic datasets easily with DUMMY DATABASE

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FactSet is a provider of financial data and analytic applications for investment management and investment banking professionals.

Which is more popular?
Website, pricing, platforms and company facts side by side.
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| Website | dummydatabase.com | factset.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
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Bloomberg, S&P CapIQ, FactSet, Thomson Reuters: Buy or Build?
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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 FactSet.
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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