Software Alternatives, Accelerators & Startups

Datamade VS DUMMY DATABASE

Compare Datamade VS DUMMY DATABASE and see what are their differences

Datamade logo Datamade

Get custom datasets on-demand

DUMMY DATABASE logo DUMMY DATABASE

Generate and manage synthetic datasets easily with DUMMY DATABASE
  • Datamade Landing page
    Landing page //
    2019-12-08
  • DUMMY DATABASE Main page
    Main page //
    2025-08-09
  • DUMMY DATABASE Tables edit
    Tables edit //
    2025-08-09
  • DUMMY DATABASE Events sequence
    Events sequence //
    2025-08-09
  • DUMMY DATABASE SQL editor
    SQL editor //
    2025-08-09
  • DUMMY DATABASE ERD
    ERD //
    2025-08-09

Dummy Database is built to solve a simple, yet annoying problem โ€” generating realistic test datasets quickly, without writing scripts or juggling Excel files.

Itโ€™s designed for: - Developers needing dummy databases for prototyping & testing. - Analysts and BI specialists preparing demo dashboards. - QA engineers creating data scenarios for testing. - SQL learners who want practice datasets on demand.

What makes it special? - Create from simple tables to full relational databases with PK/FK. - 35+ data types including Numbers, Dates, Names, Booleans, etc. - Unique Event Sequences โ€” simulate user actions and workflows. - Advanced data controls โ€” outliers, nulls, repeats, distributions. - ERD visualization to map relationships. - Built-in PostgreSQL editor to query generated data. - Export as CSV, XLSX, SQL DDL, or full ZIP. - Free up to 10,000 records per table for registered users โ€” no paywalls or limits.

Datamade

Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

DUMMY DATABASE

$ Details
free
Platforms
Web
Release Date
2024 October
Startup details
Country
Serbia
City
Novi Sad
Founder(s)
Igor Bobritskii
Employees
1 - 9

Datamade features and specs

  • Expertise in Civic Technology
    Datamade specializes in civic technology, offering tailored solutions that help governments and organizations improve transparency and public access to data.
  • Custom Software Development
    They provide bespoke software development services which are tailored to meet the specific needs of their clients, ensuring that solutions are aligned with organizational goals.
  • Open Source Advocacy
    Datamade advocates for open-source technologies, which can lead to more collaborative development, lower costs, and enhanced transparency.
  • Strong Portfolio
    The company has an extensive portfolio of successful projects for a wide range of clients, demonstrating their capability to deliver results.
  • Focus on Data Accessibility
    Datamade is committed to improving data accessibility, making it easier for the public to access important governmental and organizational data.

Possible disadvantages of Datamade

  • Niche Market
    Their focus on civic technology might limit their appeal to potential clients seeking more general technology solutions.
  • Potential Cost
    Custom software development, especially from a niche provider, can be expensive and may not be suitable for organizations with limited budgets.
  • Scalability
    While Datamade provides tailored solutions, some clients may find challenges when scaling these solutions to a larger audience or geographic area.
  • Dependency on Open Source
    Heavy reliance on open-source solutions might not suit all clients, especially those requiring proprietary or closed systems for security or other concerns.

DUMMY DATABASE features and specs

  • Relations Datasets Generation
    Automatically create realistic, interlinked datasets that preserve relational integrity between tables โ€” perfect for simulating multi-table databases for testing, analytics, and demos.
  • Sequence of Events
    Define and generate realistic event chains with time dependencies, probabilities, and conditional paths โ€” ideal for modeling user journeys, workflows, or process mining scenarios.
  • Built-in SQL Editor
    Instantly query, filter, and transform generated datasets without leaving the platform โ€” no need for external tools or database setup.

Category Popularity

0-100% (relative to Datamade and DUMMY DATABASE)
Developer Tools
83 83%
17% 17
Databases
0 0%
100% 100
SaaS
100 100%
0% 0
Synthetic Data
0 0%
100% 100

Questions and Answers

As answered by people managing Datamade and DUMMY DATABASE.

What makes your product unique?

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 โ€” no limits, no paywalls.

Why should a person choose your product over its competitors?

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 โ€” so you can go from idea to test-ready data without restrictions, subscriptions, or hidden fees

How would you describe your primary audience?

DUMMY DATABASE's answer:

  • Developers needing dummy databases for prototyping & testing.
  • Analysts and BI specialists preparing demo dashboards.
  • QA engineers creating data scenarios for testing.
  • SQL learners who want practice datasets on demand.

What's the story behind your product?

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

Which are the primary technologies used for building your product?

DUMMY DATABASE's answer:

Python, Flask, HTML, CSS, Bootstrap, Redis, PostgreSQL, JavaScript

User comments

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What are some alternatives?

When comparing Datamade and DUMMY DATABASE, you can also consider the following products

Gigadata - Gigadata makes large datasets like total stock market prices, crypto, news, financials, reddit posts, government stats, the weather available via a simple API.

Prolinky - Manage your links & create online stores, all in one place.

AnyPicker - Scrape web data without any code, just click what you see.

Random Data - Generate random data for testing

Confluence.VC Investor Database - 2,000+ VCs filtered by sector, stage, geography, and type.

Mockaroo - A realistic data generator to test your app