Fractional CTO for PostgreSQL
PostgreSQL is the most advanced open-source relational database, trusted by companies of all sizes. We help companies design schemas, optimize queries, implement proper indexing, and scale PostgreSQL ...
Expert PostgreSQL Leadership
PostgreSQL is the most advanced open-source relational database, trusted by companies of all sizes. We help companies design schemas, optimize queries, implement proper indexing, and scale PostgreSQL for production workloads.
Initial schema: 1-2 weeks, Performance optimization: 2-4 weeks, Migration: 4-12 weeks
$10,000-$50,000 for optimization projects
Why Choose Us
- Most feature-rich open-source database
- Excellent reliability and data integrity
- Strong JSON support bridges SQL and NoSQL
- Extensive extension ecosystem
- Great tooling and community support
Common PostgreSQL Challenges We Solve
Schema design decisions and normalization trade-offs
Query performance optimization and indexing strategy
Connection pooling and management at scale
Replication and high availability setup
Backup and disaster recovery planning
Migration from other databases
JSONB vs normalized data decisions
Scaling beyond single instance limitations
PostgreSQL Best Practices
Design schemas with proper normalization but pragmatic denormalization
Implement proper indexing strategy (B-tree, GIN, BRIN)
Use connection pooling (PgBouncer) for applications
Implement proper EXPLAIN ANALYZE workflow for query optimization
Set up streaming replication for high availability
Use proper data types (especially for dates, UUIDs)
Implement proper backup with point-in-time recovery
Monitor with pg_stat_statements and similar extensions
Complementary Technologies
Scaling Considerations
PostgreSQL scales well vertically. For read scaling, use read replicas. For write scaling, consider partitioning, Citus for distributed PostgreSQL, or PlanetScale/CockroachDB.
Security Considerations
Use role-based access control, implement row-level security, encrypt data at rest and in transit, audit database access, use prepared statements.
Performance Optimization
Proper indexing is key, use EXPLAIN ANALYZE, implement query caching with Redis, partition large tables, optimize vacuum and autovacuum settings.
Success Story
Series A fintech with slow dashboard queries
Challenge
Dashboard queries taking 15+ seconds. Database becoming bottleneck as user base grew. No clear indexing strategy.
Solution
Fractional CTO audited schema and queries, implemented proper indexing, restructured problematic queries, set up monitoring.
Result
Average query time reduced from 8 seconds to 200ms. 97% reduction in database CPU usage. Dashboard now handles 10x more concurrent users.
Timeline: 3 weeks
Recommended Team Structure
Most development teams should have PostgreSQL knowledge. Large deployments benefit from dedicated DBA expertise.
PostgreSQL Solutions by Industry
Our fractional CTOs specialize in PostgreSQL implementations across all industries. Find tailored technical leadership for your specific vertical.
PostgreSQL Experts by Location
Find PostgreSQL fractional CTO expertise in your city. Our technical leaders work with teams worldwide.
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