Free, open-source SQL Server execution plan analyzer — cross-platform GUI + CLI with 30 analysis rules, missing index detection, SSMS extension. Built-in MCP server for AI-assisted plan review.

An Agentic PostgreSQL DBA— monitors, analyzes, and optimizes any PostgreSQL 14-18 database with LLM-powered actions

🔄 PostgreSQL MCP Server – AI-Powered PostgreSQL Management & Monitoring. A powerful, AI-integrated PostgreSQL Model Context Protocol (MCP) server for automated database operations, monitoring, security, diagnostics, and optimization. Seamlessly manage PostgreSQL with 237+ tools designed for AI assistants like Claude and ChatGPT.

Battle-tested SQL Server performance diagnostic toolkit for developers and DBAs. Quickly detect blocking, missing indexes and slow queries.

SQLite write benchmarks proving the ORM is the bottleneck — 11 configs × 10M rows + ORM vs raw executemany at 50M scale. 23.8x speedup, 26% config spread, zero errors.

Fast and minimalist interface for analyzing MySQL/MariaDB slow logs

Compact SQL Server Showplan XML into token-efficient Markdown or JSON for AI coding agents.

PostgreSQL health and performance advisor for Laravel. Detect bloat, vacuum debt, and slow queries with an interactive dashboard, automated CI gate, and optional Filament panel.

Source for andreploeger.com — freelance website focused on PostgreSQL performance, query analysis, and predictable system behavior.

SQL performance optimizer and execution plan visualizer built with Nuxt 3. Audit, refactor, and speed up database queries offline or with Gemini & OpenAI.

Supabase Debug Playground — a hands-on lab for diagnosing and fixing common Supabase issues (Auth, RLS, Realtime, RPC, and indexing) with reproducible debugging patterns and examples.

20 Hands-on Linux performance tuning labs across physical, virtual, and cloud environments covering observability, bottleneck analysis, kernel tuning, and optimization.

A professional SQL project demonstrating how to optimize query performance using single and composite database indexes, and analyzing query execution plans using the EXPLAIN statement.

Slow query interceptor and index advisor for Mongoose 8+. Automatically runs explain() on slow queries, detects COLLSCAN/SORT stages, and suggests optimal indexes following the ESR rule - zero runtime dependencies

Production-grade guides and runbooks for query plan baseline tracking, performance regression detection, and CI/CD gate automation — for database SREs and platform teams.

Terminal-precision static analysis tool that catches database performance bugs (N+1 queries, missing indexes) in AI-generated Prisma & PostgreSQL code before production.

Transparent Redis caching for raw MySQL connections. No ORM required

Audit filtered pgvector HNSW recall, latency, and query-plan correctness against exact PostgreSQL search.

Laboratório interativo em Python para comparar performance e padrões arquiteturais de bancos SQL, NoSQL, Grafos, Chave-Valor e Séries Temporais.

Read-only CLI that ranks, explains, and reports slow PostgreSQL queries from pg_stat_statements.