
HackerRank
CodeSignal
iMocha
TestGorilla
HackerEarth
mettl
DevSkiller
Codility provides a SaaS platform with advanced validation, security and protection features to evaluate the skills of software engineers.

Mockaroo
Generate Data
Snaplet
Random Data
TestDataHub
Turn SQL schemas into realistic test data in seconds. Perfect for testing, demos, and development.

Which is more popular?
Based on our record, Codility seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | codility.com | ddltodata.com |
| Pricing | ||
| Platforms | — | |
| Company | — | Startup from the United States · 2025 |
| Listed in |
In their own words, as submitted to SaaSHub.


The Codility platform includes: CodeCheck - Design role-specific remote skills assessments to screen your technical candidates before moving them to the interview stage. CodeLive - Host technical remote or onsite interviews via our shared editor using a range of templates and whiteboards....
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, etc. It supports...
What each product offers, as listed by its team.


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


No analysis of Codility yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
An Introduction to Codility: The Tech Hiring Platform for Engineering Teams
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Codility and DDL to Data.
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 Codility and DDL to Data. For example, how are they different and which one is better?
External articles and on-site reviews we used to compare the two products.


Codility is a platform that helps companies assess the coding skills of developers. They offer a range of online coding tests and assessments that enable employers to evaluate candidates' technical abilities.
We have no reviews of DDL to Data yet. Be the first one to post
Recommendations tracked on public social media and blogs since March 2021.


- Technical skills: have they got the walk to match the talk? Programming languages on a resume mean little if candidates are unable to demonstrate their hard coding skills. You can test these skills with technical skill tests, such as... - Source: dev.to / over 2 years ago
Codility : Verify and improve coding skills. - Source: dev.to / over 5 years ago
Tracking DDL to Data since Dec 2025.
When comparing Codility and DDL to Data, you can also consider the following products.

HackerRank is a platform that allows companies to conduct interviews remotely to hire developers and for technical assessment purposes.
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CodeSignal is the leading assessment platform for technical hiring.
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GenerateData.com: free, GNU-licensed, random custom data generator for testing software
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Snaplet gives developers production-accurate data and preview databases they can code against, so they can focus on shipping. Ditch the seed script forever!
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