An interactive web app that demonstrates how SQLDeps accelerates SQL dependency analysis and optimize your team's workflow.
The SQLDeps Simulator is an interactive web tool that helps data teams quantify the potential time, cost, and efficiency gains from using automated SQL dependency extraction powered by Large Language Models (LLMs).
- 📈 Interactive parameter-driven simulations
- 🕒 Simulate time savings from automated SQL analysis
- 💰 Calculate cost efficiency and return on investment (ROI)
- 🚀 Analyze processing capacity improvements
- 🔍 Visualize parallelism and rate-limiting impacts
The simulator can reveal insights like:
- Potential time savings for your team
- How many more queries you can process per day
- Cost comparison between manual and automated approaches
- Impact of parallel processing on SQL dependency extraction
Customize your simulation by adjusting:
- Workload Parameters
- Number of SQL queries
- Average human analysis time
- Average API analysis time
- Monthly workload to compute ROI
- Cost Parameters
- Hourly engineer salary
- API price per 1M input tokens
- API price per 1M output tokens
- API Parameters
- API rate limit
- Maximum number of CPUs
- Average number of token for input prompt
- Average number of tokens for reponse (Json file with dependenceis)
The simulator provides estimates based on your input parameters. Actual performance may vary depending on:
- SQL query complexity
- LLM model performance
- Specific organizational workflows
Part of the SQLDeps ecosystem, demonstrating the potential of AI in database dependency management.
MIT License
Part of the SQLDeps project, demonstrating the power of AI in understanding SQL dependencies.
MIT License