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Database Design & Optimization
Speed up slow queries and improve performance
Transform slow database queries into fast ones. Analyze query execution, optimize SQL, add indexes, and fix N+1 problems—turning seconds into milliseconds.
Slow queries kill application performance and user experience. We analyze query execution plans, identify bottlenecks, and optimize SQL queries to run orders of magnitude faster. Our optimization techniques include rewriting inefficient queries, adding strategic indexes, eliminating N+1 queries, using proper JOINs, leveraging database-specific features, and caching strategies. A query taking 5 seconds can often be optimized to under 100ms with proper analysis and tuning.
Everything you need for success
How we work with you
Identify slow queries and bottlenecks
Analyze execution plans with EXPLAIN
Rewrite queries and add indexes
Benchmark before and after performance
Deploy optimizations to production
Monitor performance and fine-tune
What you'll achieve
Dramatically faster page loads
Handle more concurrent users
Reduce server resource usage
Better user experience
Lower infrastructure costs
Scalable for growth
Everything you need to know
Fetching related records one at a time instead of in bulk. Example: loading 100 users, then making 100 separate queries for their posts. Solution: eager loading with JOINs or IN clauses to fetch all in 2 queries instead of 101.
Enable slow query logging, analyze application logs, use database monitoring tools (pg_stat_statements for PostgreSQL), and profile queries with EXPLAIN ANALYZE to see execution time and plan.
Often yes—adding indexes, updating database configuration, or query hints can improve performance without code changes. But best results usually involve code optimization too.
Varies widely. Common to see 10-100x improvements. A 5-second query can often drop to 50-500ms. Poorly written queries with missing indexes can improve 1000x or more.
Let's discuss your project and how we can help you achieve your goals.