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Datomic VS DUMMY DATABASE

Compare Datomic VS DUMMY DATABASE and see what are their differences

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Contents:
  1. ยป Base Details
  2. ยป Videos
  3. ยป Reviews
  4. ยป Alternatives

Datomic logo Datomic

The fully transactional, cloud-ready, distributed database

DUMMY DATABASE logo DUMMY DATABASE

Generate and manage synthetic datasets easily with DUMMY DATABASE
  • Datomic Landing page
    Landing page //
    2023-09-14
  • 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.

Datomic

Website
datomic.com
Pricing URL
Official Datomic Pricing
$ Details
-
Platforms
-
Release Date
-
Edit details

DUMMY DATABASE

Website
dummydatabase.com
Pricing URL
Official DUMMY DATABASE Pricing
$ Details
free
Platforms
Web
Release Date
2024 October
Startup details
Country
Serbia
City
Novi Sad
Founder(s)
Igor Bobritskii
Employees
1 - 9
Edit details

Datomic features and specs

  • Immutability
    Datomic employs an append-only data model where data is never overwritten but instead appended, ensuring historical data is always available and providing strong consistency.
  • Time Travel Queries
    Datomic allows you to query the database as of any point in time, facilitating auditing and debugging by allowing easy access to historical data states.
  • Rich Data Model
    Supports complex data types like maps and sets directly within its schema, providing a flexible way to represent data.
  • ACID Transactions
    Datomic supports fully ACID-compliant transactions, ensuring reliable and predictable database operations.
  • Scalability
    Separates storage and compute, allowing for horizontal scaling of read operations, making it suitable for handling large datasets.
  • Query Flexibility
    Offers a powerful query language that supports recursive queries, making it suitable for complex data retrieval needs.

Possible disadvantages of Datomic

  • Complexity
    The architecture of Datomic can be complex to understand and implement, particularly for teams unfamiliar with its design principles.
  • Cost
    Can be expensive to operate, especially in a cloud environment, where costs increase with the amount of data stored and the compute resources required.
  • Limited Write Throughput
    Due to its append-only design, Datomic can have limited write throughput, which may not be suitable for applications with heavy write requirements.
  • Closed Source
    Datomic is a proprietary database system, which may not appeal to organizations that prefer open-source solutions.
  • Learning Curve
    Requires a learning curve as its conceptual model and query language are different from traditional databases, potentially requiring additional training.
  • Dependency on AWS
    Relying on AWS ecosystem for the storage backend can limit choices for deployment environments, impacting flexibility.

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.

Datomic videos

+ Add

KotlinConf 2018 - Datomic: The Most Innovative DB You've Never Heard Of by August Lilleaas

More videos:

  • Review - "Real-World Datomic: An Experience Report" by Craig Andera (2013)
  • Review - Rich Hickey on Datomic Ions, September 12, 2018

DUMMY DATABASE videos

No DUMMY DATABASE videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Datomic and DUMMY DATABASE)

Datomic

DUMMY DATABASE

Databases
90 90%
Databases
10% 10
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Synthetic Data
0 0%
Synthetic Data
100% 100
Network & Admin
100 100%
Network & Admin
0% 0

Questions & Answers

As answered by people managing Datomic 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 the primary audience of your product?

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 Datomic and DUMMY DATABASE, you can also consider the following products

MySQL - The world's most popular open source database

Mockaroo - A realistic data generator to test your app

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

DataConstruct - We fake it till you make it!

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

Data Creator - Data generator that can create a table filled with pseudo-random content.

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