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DDL to Data VS ShellNewHandler

Compare DDL to Data VS ShellNewHandler and see what are their differences

DDL to Data

Turn SQL schemas into realistic test data in seconds. Perfect for testing, demos, and development.

Rating
0 reviews
Pricing
$19 / Monthly (500 API calls/month 50,000 rows/month)
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Alternatives Is it good?
ShellNewHandler

SourceForge.net: ShellNewHandler details page

Rating
0 reviews
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Alternatives Is it good?
HTMLCSS to Image API
Capture website screenshots, render HTML/CSS, or create templated graphics. Render images or PDFs. Use MCP with AI, no-code automation, or the REST API. No browsers needed. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Based on our record, ShellNewHandler seems to be more popular. It has been mentioned 2 times since March 2021.

social mentions
0 vs 2
API Tools popularity
100% vs 0%

Base details

Website, pricing, platforms and company facts side by side.

DDL to Data
ShellNewHandler
Website ddltodata.com sourceforge.net
Pricing
$19 / Monthly (500 API calls/month 50,000 rows/month) Official pricing
—
Company Startup from the United States · 2025 —
Listed in
Developer Tools API Tools QA Tools Testing Test Data Generator +2
Cloud Storage Monitoring Tools File Sharing Website Monitoring +1

About DDL to Data and ShellNewHandler

In their own words, as submitted to SaaSHub.

DDL to Data
ShellNewHandler

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,...

Read more about DDL to Data

No description of ShellNewHandler yet.

Features and specs

What each product offers, as listed by its team.

DDL to Data 6 features
ShellNewHandler 0 features
  • Smart Type Detection
    Generates realistic data based on column names (email, phone, address, etc.)
  • Database Support
    PostgreSQL, MySQL, SQLite
  • Foreign Key Support
    Generates consistent, referentially-intact relational data
  • Response Format
    JSON, SQL, CSV, PARQUET, XLSX
  • Free Tier
    100 API calls + 5,000 rows/month
  • Schema Storage
    Save and reuse schemas for repeat generation

No features have been listed yet.

Analysis

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

DDL to Data
ShellNewHandler

Overall verdict

  • I don't have verified, up-to-date information about ddltodata.com specifically, so I can't confirm its quality, reliability, or legitimacy. Based on the name, it appears to be a tool that generates sample/mock data from DDL (Data Definition Language) schema statements, but I have no firsthand or sourced data on user reviews, security practices, or company reputation for this exact site.

Why this product is good

  • Tools that convert DDL schemas into sample data can be useful for quickly populating test databases without manual data entry
  • If it works as implied by the name, it could save developers time during testing, prototyping, or QA environments
  • Such tools often support multiple SQL dialects (e.g., MySQL, PostgreSQL, SQL Server), which can be convenient for cross-platform projects
  • Web-based converters typically don't require software installation, lowering the barrier to entry for quick tasks

Recommended for

  • Developers or QA testers needing to quickly generate mock data for database testing
  • Small teams prototyping database schemas who want sample data without writing custom scripts
  • Users who have verified the site's legitimacy and reviewed its privacy/security policies for handling any schema information
  • Anyone willing to independently confirm the tool's accuracy and data handling practices before uploading real schema files

Overall verdict

  • ShellNewHandler is a niche, lightweight utility hosted on SourceForge designed to give users more control over the Windows 'New' context menu (the ShellNew menu). It can be considered good for its specific narrow use case, but it is an older, minimally maintained tool that may not suit all users, especially those on modern Windows versions.

Why this product is good

  • Provides direct control over customizing the Windows right-click 'New' menu, allowing users to add or remove file type entries
  • Lightweight and free, without bundled bloatware typical of some other free utilities
  • Simple and focused in scope, making it easy to understand for its specific purpose
  • Open distribution via SourceForge allows transparency and no-cost access

Recommended for

  • Power users who want to declutter or customize the Windows New context menu
  • IT administrators managing standardized desktop environments across multiple machines
  • Users comfortable with older utility-style tools and Windows registry-related tweaks
  • Not recommended for casual users seeking modern, actively supported software with regular updates

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
DDL to Data
ShellNewHandler
100% 100%
API Tools
0% 0%
0% 0%
File Sharing
100% 100%
100% 100%
Testing
0% 0%
0% 0%
Cloud Storage
100% 100%

Questions & Answers

As answered by people managing DDL to Data and ShellNewHandler.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

What's the story behind your product?

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

Which are the primary technologies used for building your product?

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.

Who are some of the biggest customers of your product?

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.

User comments

Share your experience with using DDL to Data and ShellNewHandler. For example, how are they different and which one is better?

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Social recommendations and mentions

Recommendations tracked on public social media and blogs since March 2021.

DDL to Data 0 mentions
ShellNewHandler 2 mentions

Tracking DDL to Data since Dec 2025.

  • I recently got libreoffice, but now the new option in right click looks like a mess. Can someone help me get rid of them please?
    Use Shell New Handler. Run the portable app and simply untick the items you don't want to appear in your new context menu. Source: about 4 years ago
  • This menu should be easy to add/remove programs to... Who is really creating Access Databases from this menu often enough to keep it here? (Not me!) Is there an easy way to edit this?
    I've always used ShellNewHandler for this. It's a really simple portable utility that allows you to remove most of the items from that menu. Tested it out on Windows 11 and it's still compatible. Source: over 5 years ago

Alternatives to DDL to Data and ShellNewHandler

When comparing DDL to Data and ShellNewHandler, you can also consider the following products.

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