DUMMY DATABASE
Mockaroo
DataConstruct
Data Creator
Datamade
Random Data
Amazon AWS
Google Cloud Platform
Microsoft Azure
DigitalOcean
Linode
Heroku
Vultr
CloudFlare
Dummy Database is built to solve a simple, yet annoying problem โ generating realistic test datasets quickly, without writing scripts or juggling Excel files.
Itโs 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.
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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.
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
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
You could say a lot of things about AWS, but among the cloud platforms (and I've used quite a few) AWS takes the cake. It is logically structured, you can get through its documentation relatively easily, you have a great variety of tools and services to choose from [from AWS itself and from third-party developers in their marketplace]. There is a learning curve, there is quite a lot of it, but it is still way easier than some other platforms. I've used and abused AWS and EC2 specifically and for me it is the best.
Based on our record, Amazon AWS seems to be more popular. It has been mentiond 484 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Not because infrastructure isn't important. It is. Not because Amazon Web Services (AWS) is a bad platform. It isn't. - Source: dev.to / 18 days ago
The AWS S3 documentation covers all of these in detail. The configuration takes about an hour to get right the first time and rarely needs changes after. - Source: dev.to / about 1 month ago
The first pattern is direct-to-storage. The client uploads chunks directly to an object storage service like Amazon S3 using pre-signed URLs. The application server creates the upload session and grants permission but never sees the file bytes. This pattern scales well because the application servers do not handle the upload bandwidth. - Source: dev.to / about 1 month ago
AWS Secrets Manager provides managed secrets storage with automatic rotation for RDS databases, Redshift clusters, DocumentDB, and other common services. For applications running on AWS infrastructure, Secrets Manager integrates directly with Lambda, ECS, EKS, and EC2 at the platform level, injecting secrets into the application environment without requiring files on disk or manual retrieval code. - Source: dev.to / 2 months ago
This approach, popularized by platforms like AWS, helps users make informed decisions about how far to push the boundaries while maintaining realistic expectations about support. - Source: dev.to / 4 months ago
Mockaroo - A realistic data generator to test your app
Google Cloud Platform - Google Cloud provides flexible infrastructure, end-to-security, modern productivity, and intelligent insights engineered to help your business thrive.
DataConstruct - We fake it till you make it!
Microsoft Azure - Windows Azure and SQL Azure enable you to build, host and scale applications in Microsoft datacenters.
Data Creator - Data generator that can create a table filled with pseudo-random content.
DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.
