SQL Query Cost Estimator & Index Advisor
The SQL Query Cost Estimator & Index Advisor helps you analyze SQL queries for performance bottlenecks and missing indexes. It gives you a simulated execution cost and human-readable optimization advice instantly — no database connection required.
This tool is perfect for developers, DBAs, and students who want to understand query efficiency, indexing strategies, and performance tuning without using complex explain plan analyzers. Paste your SQL query below and get real-time insights.
Analyze Your SQL Query
How to Use the Tool
- Paste your SQL query (e.g.,
SELECT * FROM employees WHERE department_id = 10;). - Select your preferred database type (MySQL, PostgreSQL, SQL Server, or Oracle).
- Click “Estimate Cost & Get Advice.”
- Read the analysis report with estimated cost, suggested indexes, and performance tips.
Frequently Asked Questions
What does this SQL Query Cost Estimator do?
It simulates an approximate execution plan by analyzing your SQL structure and providing cost, index, and optimization suggestions.
Does this tool run my SQL query?
No. It only analyzes your query text client-side, ensuring security and privacy. Your SQL data never leaves your browser.
Can I use it for PostgreSQL and SQL Server queries?
Yes, it supports syntax patterns from major databases and gives suggestions accordingly.
How accurate is the cost estimation?
It provides a heuristic cost — not exact DBMS execution time — but a reliable guide for understanding query complexity and index needs.
Conclusion
The SQL Query Cost Estimator & Index Advisor helps you quickly identify query performance issues, missing indexes, and inefficient patterns without requiring database access. It’s ideal for developers optimizing applications, database administrators fine-tuning workloads, and learners exploring query execution fundamentals.
For deeper database learning, try our SQL to LINQ Converter to seamlessly translate SQL into LINQ queries. You can also explore the SQL Index Tutorial to understand how indexing improves query performance in real-world databases.