
Mockaroo
Generate Data
DataMaker
MockBlast
SynthForge IO
MockTurtle.net
Neosync
Turn SQL schemas into realistic test data in seconds. Perfect for testing, demos, and development.

DBDiagram.io
Azimutt
ChartDB
MySQL Workbench
DbSchema
PopSQL
SQL Database Modeler
Easy database diagrams. Create, visualize and collaborate on your database entity relationship diagrams.

Which is more popular?
Based on our record, DrawSQL seems to be more popular. It has been mentioned 12 times since March 2021.
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | ddltodata.com | drawsql.app |
| Pricing | ||
| Platforms | — | |
| Company | Startup from the United States · 2025 | 2018 |
| Listed in |
In their own words, as submitted to SaaSHub.


DDL to Data is a developer tool that automatically generates realistic test data from SQL schemas. Simply paste your CREATE TABLE statement and get back JSON data with smart type detection—column names like "email" produce real email formats, "phone" produces phone numbers,...
DrawSQL is a simple, beautiful database diagram editor for developers to 🚧 create, 💬 collaborate and 👀 visualize their entity relationship diagrams.
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
No analysis of DrawSQL yet.
Walkthroughs and reviews on video.
No DDL to Data videos yet. You could help us improve this page by suggesting one.
DrawSQL: Create and visualize beautiful database entity relationship diagrams.
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing DDL to Data and DrawSQL.
DDL to Data's answer
No LLM, no prompts, no AI costs. DDL to Data uses deterministic pattern-matching — not machine learning — to generate realistic test data from your SQL schema in milliseconds. It's fast, predictable, and won't hallucinate. Column named "email" produces an email, "phone" produces a phone number. Same schema, same structure, every time. Plus it handles foreign key relationships to generate referentially-intact data across multiple tables.
DDL to Data's answer
Unlike AI-powered tools, DDL to Data has zero token costs, sub-second response times, and deterministic output, critical for CI/CD pipelines. Unlike Faker libraries, it requires zero configuration: paste your CREATE TABLE and get intelligent, type-aware data without writing any setup code. It also supports multiple output formats (JSON, CSV, SQL, Parquet, Excel) and can seed data directly into your PostgreSQL database.
DDL to Data's answer
Backend developers, QA engineers, and DevOps teams who need realistic test data for database testing, seeding dev environments, CI/CD pipelines, and product demos. Particularly useful for teams who want a reliable, no-config utility that just works, without adding AI dependencies to their infrastructure.
DDL to Data's answer
Every new project meant the same tedious ritual: write the schema, then manually create arrays of fake emails, phone numbers, and timestamps. Over and over. It struck me that the schema already contains everything needed to generate realistic data, column names are semantic. "email" means email, "created_at" means timestamp. So I built an API that does the obvious thing automatically, without any AI complexity
DDL to Data's answer
FastAPI (Python) backend with PostgreSQL and SQLAlchemy. Next.js 14 frontend with TypeScript and Tailwind CSS. Hosted on AWS with Docker containers, and CircleCI for CI/CD.
DDL to Data's answer
Currently in public beta and growing organically. Early adopters include indie developers and small engineering teams using it for local development and automated testing pipelines.
Share your experience with using DDL to Data and DrawSQL. 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 DDL to Data yet. Be the first one to post
Web tools like dbdiagram.io, DrawSQL, and SqlDBM are ideal for remote teams, quick access, and easy sharing. They run in the browser, require no setup, and often include real-time collaboration. Desktop tools like...
DrawSQL is a fast and user-friendly tool designed for creating, visualizing, and designing ER diagrams. It enables users to analyze relationships among database objects and generate SQL (DDL) scripts to convert...
Recommendations tracked on public social media and blogs since March 2021.


Tracking DDL to Data since Dec 2025.
With this, I went for designing the db. I went to http://drawsql.app/ and created my first draft. Then exported the DDL and did a bit of back and forth with AI. This is the final draft of the database:. - Source: dev.to / 12 months ago
So I started designing the DB using this cool tool. The project has 2 tables, users and categories . The user can create many categories as he wants so the first approach I took was creating a third table, a union table to store user_id... - Source: dev.to / over 1 year ago
Once you have generated the SQL code, you can convert it into a relational schema (the graphical table model) using DrawSQL. This tool offers:. - Source: dev.to / almost 2 years ago
When comparing DDL to Data and DrawSQL, you can also consider the following products.

Free database diagrams designer for analysts & developers 🛠
Compare DBDiagram.io to DDL to Data or DrawSQL:

GenerateData.com: free, GNU-licensed, random custom data generator for testing software
Compare Generate Data to DDL to Data or DrawSQL:

Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)
Compare Azimutt to DDL to Data or DrawSQL:
Ask in plain words. DataMaker finds valid SAP records, inside your network.
Compare DataMaker to DDL to Data or DrawSQL:

Visualize your DB via one-single query. Free and open source, database design editor.
Compare ChartDB to DDL to Data or DrawSQL: