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PostgreSQL Performance Tuning& Query Optimization Experts

Achieve 12x query performance gains with expert PostgreSQL tuning. Our clients save $85K+ annually through optimized infrastructure. Guaranteed improvements or your money back.

12x
Query Performance Gain
$85K+
Annual Cost Savings
56x
Faster Report Generation
99.9%
Client Satisfaction

Real PostgreSQL Performance Improvements

Detailed before/after case studies demonstrating measurable PostgreSQL performance gains through our expert optimization services

Financial Services Company
12x Query Performance Gain

Before Optimization

  • Average query time: 3.2 seconds
  • 40% queries causing table scans
  • Peak CPU usage: 95%
  • Monthly infrastructure cost: $12,500

After Optimization

  • Average query time: 0.26 seconds
  • 95% queries using index scans
  • Peak CPU usage: 45%
  • Monthly infrastructure cost: $5,400

Our Solution:

  • Created 15 strategic composite indexes
  • Rewrote 23 inefficient queries
  • Optimized postgresql.conf parameters
  • Implemented PgBouncer connection pooling
Annual Cost Savings:$85,200
Healthcare SaaS Platform
Sub-Second Report Generation

Before Optimization

  • Report generation: 45-60 seconds
  • Dashboard load time: 12 seconds
  • Memory usage: 32GB peak
  • User complaints: 47/month

After Optimization

  • Report generation: 0.8 seconds
  • Dashboard load time: 0.9 seconds
  • Memory usage: 8GB peak
  • User complaints: 0/month

Techniques Applied:

  • Implemented materialized views for complex aggregations
  • Applied table partitioning by date range
  • Enabled parallel query execution
  • Optimized work_mem and shared_buffers
Performance Improvement:56x Faster
E-commerce Platform
Black Friday Traffic Handling

Before Optimization

  • Max concurrent users: 2,000
  • Connection pool exhaustion: Frequent
  • Cart checkout time: 8.5 seconds
  • Database connections: 500 max

After Optimization

  • Max concurrent users: 25,000
  • Connection pool exhaustion: Zero
  • Cart checkout time: 0.6 seconds
  • Effective connections: 10,000+

Implementation Details:

  • Deployed PgBouncer with transaction pooling
  • Implemented read replicas with load balancing
  • Optimized hot path queries with covering indexes
  • Added Redis caching for session data
Scalability Improvement:12.5x More Users
IoT Analytics Company
Time-Series Data Optimization

Before Optimization

  • Data ingestion rate: 5,000 rows/sec
  • Storage growth: 2TB/month
  • Query latency (7-day): 45 seconds
  • Table bloat: 60%

After Optimization

  • Data ingestion rate: 150,000 rows/sec
  • Storage growth: 400GB/month
  • Query latency (7-day): 0.3 seconds
  • Table bloat: 5%

Optimization Approach:

  • Implemented TimescaleDB hypertables with compression
  • Created continuous aggregates for common queries
  • Configured BRIN indexes for time-based queries
  • Tuned autovacuum for high-write workload
Ingestion Improvement:30x Throughput

PostgreSQL Performance Tuning Tools & Techniques

We leverage industry-standard tools and proven techniques for comprehensive PostgreSQL optimization

Query Analysis

pg_stat_statements

Query pattern identification and performance tracking

SELECT query, calls, mean_time, total_time FROM pg_stat_statements ORDER BY total_time DESC LIMIT 20;

EXPLAIN ANALYZE

Execution plan analysis with actual runtime statistics

EXPLAIN (ANALYZE, BUFFERS, FORMAT TEXT) SELECT ...;

pg_stat_activity

Real-time session and active query monitoring

pgBadger

PostgreSQL log analysis and reporting

Index Optimization

pg_stat_user_indexes

Index usage tracking and analysis

SELECT indexrelname, idx_scan, idx_tup_read FROM pg_stat_user_indexes WHERE idx_scan = 0;

Unused Index Identification

Find and remove indexes wasting storage and slowing writes

Composite Index Strategy

Multi-column index design for complex WHERE clauses

Partial Index Implementation

Filtered indexes for queries with common conditions

Configuration Tuning

shared_buffers Optimization

Typically 25% of available RAM for dedicated servers

Memory Critical

work_mem Tuning

Per-operation memory for sorts and hash operations

Query Performance

effective_cache_size

Planner hint for available OS cache (typically 75% RAM)

Checkpoint & WAL Tuning

Write-ahead log optimization for durability vs performance

Connection Pooling with PgBouncer
Handle 10x more concurrent users with the same database resources

Session Pooling

Connection assigned for entire client session. Best for applications using session-level features.

Legacy Apps

Transaction Pooling

Connection returned after each transaction. Optimal for most web applications.

Recommended

Statement Pooling

Connection returned after each statement. Maximum efficiency for simple queries.

High Throughput

Common PostgreSQL Performance Issues We Solve

PostgreSQL performance bottlenecks can severely impact application responsiveness and user experience. Our PostgreSQL consultants identify and resolve these issues systematically.

Slow Query Performance
  • Long-running SELECT statements
  • Inefficient JOIN operations
  • Sequential scans on large tables
  • Poor query planning decisions
  • Missing or suboptimal indexes
High Resource Usage
  • CPU saturation from inefficient queries
  • Memory pressure and swapping
  • Excessive context switching
  • Poor connection management
  • Inadequate buffer cache utilization
I/O Bottlenecks
  • Disk I/O saturation
  • Poor WAL configuration
  • Inefficient checkpoint settings
  • Storage performance limitations
  • Excessive random I/O patterns
Scalability Issues
  • Connection pool exhaustion
  • Lock contention and deadlocks
  • Table bloat and fragmentation
  • Inefficient VACUUM operations
  • Poor partitioning strategies

Our PostgreSQL Optimization Methodology

Systematic approach to PostgreSQL performance optimization covering all aspects of database performance

pg_stat_statements Review & Slow Query Identification

Deep dive into query execution patterns with comprehensive analysis of execution plans, PostgreSQL slow query log analysis, and SQL optimization strategies.

pg_stat_statements Analysis

  • Query fingerprinting
  • Execution time tracking
  • Resource consumption analysis
  • Performance regression detection

Slow Query Identification

  • Long-running query detection
  • Query pattern analysis
  • Bottleneck identification
  • Priority ranking

Query Rewriting

  • SQL pattern optimization
  • Subquery to JOIN conversion
  • CTE optimization strategies
  • Window function tuning

SQL Optimization Patterns

  • Anti-pattern identification
  • Best practice implementation
  • Query complexity reduction
  • Performance-aware coding

Postgres Indexing Strategy Optimization

Comprehensive index optimization including B-tree, GiST, GIN, and BRIN index strategies for maximum query performance with minimal storage overhead.

Index Types & Selection
B-tree indexes
Primary
GIN indexes
JSON/Arrays
GiST indexes
Geometric
BRIN indexes
Large Tables
Hash indexes
Equality
Advanced Indexing Strategies
  • Compound index optimization
  • Partial index strategies
  • Expression indexes
  • Covering indexes (INCLUDE)
  • Index-only scans optimization

PostgreSQL Configuration Tuning Services

Memory parameter optimization based on workload characteristics, hardware specifications, and performance requirements.

Memory Configuration
shared_buffers25% RAM
work_mem4MB-1GB
maintenance_work_mem256MB-2GB
effective_cache_size75% RAM
Connection & Process Settings
max_connections100-500
max_worker_processes8-32
max_parallel_workers4-16
autovacuum_max_workers3-8
Query Planner Settings
random_page_cost1.1-4.0
default_statistics_target100-1000
cpu_tuple_cost0.01
enable_parallel_queryon

Database Performance Benchmarking Postgres

Comprehensive benchmarking to establish baselines and measure optimization results

Baseline Assessment

Comprehensive performance baseline before optimization using pgbench and custom workloads

Load Testing

Simulate production workloads to identify bottlenecks under realistic conditions

Optimization Validation

Measure and verify performance improvements against established baselines

Detailed Reporting

Comprehensive reports with metrics, recommendations, and ROI analysis

Client Success Stories & Reviews

Hear from our clients about their PostgreSQL performance improvements

CTO, Tech Startup
September 2025

"JusDB's PostgreSQL performance tuning improved our query performance by 4x and stabilized peak loads. Their systematic approach using pg_stat_statements identified bottlenecks we didn't even know existed. The performance improvements have been game-changing for our application."

DBA Lead, Financial Services
August 2025

"Their systematic methodology identified and fixed our slow queries across dozens of endpoints. The 12x performance improvement exceeded our expectations. We also saved $85K annually through reduced infrastructure costs."

4.9/ 5.0(54 reviews)

Frequently Asked Questions

Common questions about our PostgreSQL performance tuning services

What causes PostgreSQL performance issues?
How do you guarantee performance improvements?
Which PostgreSQL versions are supported?
What tools and metrics do you use for analysis?
How long does a performance audit take?
Do you provide ongoing performance monitoring?
Can you optimize PostgreSQL in cloud environments?
What is your approach to index optimization?
How do you handle connection pooling optimization?

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Replication, failover, and disaster recovery solutions

PostgreSQL Migration

Oracle to PostgreSQL migration consulting and execution

Ready to Optimize Your PostgreSQL Performance?

Schedule a FREE performance audit and discover how we can achieve 12x query performance gains for your database