DDLData

Not Another LLM Wrapper

DDL to Data uses smart pattern matching — not AI — for instant, deterministic results. No token costs. No rate limits. No hallucinated data.

DDL to Data

  • Milliseconds, not seconds
  • Deterministic output
  • Flat monthly pricing
  • Seed databases directly
  • Foreign key integrity built-in
  • No prompt engineering needed
  • Works offline in CI/CD
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Prompting an LLM

  • 2-10 seconds response time
  • Non-deterministic output
  • Pay per token/generation
  • Prompt tweaking required
  • Manual relationship handling
  • May hallucinate invalid data
  • Requires API connectivity

Speed Comparison

DDL to Data~50ms
GPT-4 / Claude~3-5 seconds
ChatGPT wrapper tools~5-10 seconds

Time to generate 100 rows of realistic user data

Cost Comparison

$0

per 100 rows with DDL to Data

(within free tier limits)

$0.02-0.10

per 100 rows with LLM APIs

(varies by model and tokens)

For CI/CD pipelines running hundreds of tests daily, LLM costs add up fast.

When LLMs Make Sense

LLMs excel at generating narrative content — product descriptions, user reviews, article text. For that, check out our Story Mode.

Use DDL to Data (Core) for:

  • • Realistic emails, phones, addresses
  • • Dates, timestamps, UUIDs
  • • Foreign key relationships
  • • CI/CD pipeline data
  • • High-volume seeding

Use Story Mode for:

  • • Product descriptions
  • • User-generated content
  • • Blog posts and articles
  • • Support tickets
  • • Demo/presentation data

Ready to try the faster approach?

Generate test data in milliseconds, not seconds.

DDL to Data vs LLM Wrappers | Why Pattern Matching Beats AI for Test Data | DDL to Data