Query Optimization Services
Database query optimization services. We analyze and fix slow queries, design efficient indexes, and restructure data access patterns for orders-of-magnitude improvements.
Get Started
Why Choose MicrocosmWorks for Query Optimization?
Slow queries are the #1 cause of application performance problems. We use systematic analysis — EXPLAIN plans, statistics, access patterns, and workload profiling — to identify exactly why queries are slow and implement solutions that deliver 10-100x speed improvements. No guessing, just data-driven optimization.
Our Query Optimization Capabilities
- Query Analysis & EXPLAIN — Deep dive into execution plans, identify sequential scans, join order problems, and suboptimal planner choices.
- Index Strategy — Design comprehensive indexing strategies including composite indexes, partial indexes, covering indexes, and GIN/GiST indexes for special data types.
- Query Rewriting — Restructure queries to eliminate N+1 patterns, optimize CTEs, replace correlated subqueries, and leverage window functions.
- Schema Optimization — Normalize or denormalize strategically, add materialized views, and restructure tables for your actual access patterns.
- Connection & Pool Optimization — Tune connection pools, optimize transaction management, and reduce lock contention for concurrent workloads.
- Monitoring & Alerting — Set up slow query logging, pg_stat_statements tracking, and automated alerts for query performance regression.
Technology Stack
We work primarily with PostgreSQL (including Aurora, Neon, Supabase), MySQL, and MongoDB. Our analysis uses pg_stat_statements, auto_explain, pganalyze, and custom query profiling. Solutions include indexing strategies, query rewrites, materialized views, and application-level changes.
Who This Is For
Applications with slow database queries causing user-facing latency, high database CPU usage, or lock contention. Whether it's a few critical queries dragging down your dashboard or systemic query patterns causing widespread slowness, we fix it.
Our Process
Query Audit
Identify top slow queries using pg_stat_statements, analyze access patterns, and measure baseline performance.
Root Cause Analysis
Run EXPLAIN ANALYZE on each slow query, identify missing indexes, bad joins, and suboptimal patterns.
Optimization
Implement index changes, query rewrites, schema adjustments, and caching for most impactful queries.
Validation
Benchmark optimized queries, verify no regressions in other queries, and load test under concurrent access.
Ongoing Monitoring
Set up slow query tracking, regression alerts, and periodic review cadence for continued optimization.
Technology Stack
Databases
Analysis
Optimization
Monitoring
Industries We Serve
Ready to Fix Your Slow Queries?
Let's turn your database from a bottleneck into a performance asset with targeted query optimization.
Frequently Asked Questions
We analyze execution plans with EXPLAIN ANALYZE, identify missing or redundant indexes, rewrite subqueries as joins, eliminate N+1 patterns, and optimize table statistics to ensure the query planner makes optimal decisions.
Query optimization services at MicrocosmWorks range from $20-$45/hour. We typically start by profiling your slowest queries and fixing the highest-impact ones first, delivering measurable improvements within days.
Yes, we optimize large-scale databases using table partitioning, partial indexes, materialized views, covering indexes, and query restructuring to maintain sub-second response times even on tables with billions of rows.
Absolutely. We audit ORM-generated SQL from Django, SQLAlchemy, Prisma, Hibernate, and other ORMs, identifying eager/lazy loading issues, unnecessary joins, and N+1 patterns, then optimize either the ORM usage or add raw SQL where needed.
We set up automated query performance monitoring using pg_stat_statements or similar tools, create regression test suites for critical queries, and configure alerts that trigger when query execution times exceed established baselines.