SQL Optimizer Online

This tool analyzes SQL queries to identify performance bottlenecks and proposes rewrites and indexing strategies. It targets developers, DBAs, data engineers, and performance analysts who tune production workloads or design optimized data-processing queries. It does not execute queries against a live database; instead, it evaluates the query text, available statistics, and metadata to produce actionable recommendations that preserve semantic correctness.
Core logic combines dialect aware parsing, cost based estimation, and rule based rewrite rules. It considers join order, predicate pushdown, index coverage and selectivity, and potential materialized view hints where applicable. Users can supply optional inputs such as target dialect, estimated row counts, or existing indexes to improve precision. The tool ranks candidate rewrites by estimated cost reduction and explainability.
Outputs include an optimized query rewrite, an estimated execution cost, and a set of index improvements with table names, columns, and directions. Each suggestion includes a brief rationale and notes on maintenance, concurrency, and write amplification. The tool also provides a delta versus the original cost to help measure potential gains.
Use cases include speeding up heavy reads in OLTP and read heavy analytics, improving complex joins, and guiding index tuning. Differentiators include dialect awareness, non destructive rewrites, transparent cost based evaluation, and explainable rationale. Designed for integration into development workflows, CI pipelines, and performance tuning sessions to reduce tuning time and improve database throughput.