Lightweight & Efficient
Expert PgBouncer Services
Professional Lightweight PostgreSQL Connection Pooling
Partner with certified PgBouncer experts to optimize PostgreSQL performance with efficient connection pooling, minimal memory footprint, and high-performance configuration. Our PgBouncer consultants deliver lightweight, scalable solutions for maximum database efficiency.
- PgBouncer Installation
- Professional installation and configuration of PgBouncer for your PostgreSQL environment.
- Configuration Optimization
- Fine-tune PgBouncer settings for optimal connection pooling and performance characteristics.
- Monitoring Setup
- Implement comprehensive monitoring and alerting for PgBouncer performance and health metrics.

Pooling Strategies
PgBouncer Pooling Modes
Choose the optimal pooling strategy for your application requirements and performance needs.
Transaction Pooling
Server connection returned to pool after transaction finishes. Best for most applications.
Session Pooling
Server connection returned to pool after client disconnects. Compatible with all PostgreSQL features.
Statement Pooling
Server connection returned after each statement. Most aggressive pooling with limitations.
Complete PgBouncer Suite
PgBouncer Services We Provide
From initial setup to advanced optimization, we provide comprehensive PgBouncer services to maximize your PostgreSQL connection efficiency and performance.
PgBouncer Capabilities
What's Included in Our PgBouncer Services
PgBouncer at Enterprise Scale
Our PgBouncer implementations deliver exceptional efficiency with minimal resource overhead.
- Memory Usage
- <10MB
- Connection Reduction
- 90%
- Connection Speed
- 10x faster
- Response Time
- <24h
Comparison
PgBouncer vs Pgpool-II vs PgCat: Which Pooler to Choose?
Each PostgreSQL connection pooler has unique strengths. Compare features to find the best fit for your workload.
| Feature | PgBouncer | Pgpool-II | PgCat |
|---|---|---|---|
| Memory Usage | <10MB (lightest) | 50-200MB | 10-50MB |
| Connection Pooling | Excellent (primary focus) | Good | Excellent |
| Load Balancing | No (pooling only) | Yes (full featured) | Yes (sharding support) |
| Query Caching | No | Yes | No |
| Automatic Failover | No (use with Patroni) | Yes (built-in) | Limited |
| Prepared Statements | Session mode only | Full support | Transaction mode |
| Configuration | Simple (INI file) | Complex (many options) | TOML file |
| Language | C | C | Rust |
| Best For | Pure pooling, minimal overhead | Full HA + pooling + caching | Modern apps, sharding |
Choose PgBouncer When:
- •You need the lightest possible resource footprint
- •Connection pooling is your only requirement
- •You already have HA managed by Patroni or similar
- •Simple configuration and maintenance is preferred
Choose Pgpool-II When:
- •You need built-in load balancing across replicas
- •Query caching would benefit your read-heavy workload
- •You want automatic failover without extra tooling
- •Full prepared statement support is required
Choose PgCat When:
- •You need sharding support for multi-tenant apps
- •Rust's memory safety benefits matter to you
- •You want transaction-mode prepared statements
- •Modern tooling and configuration formats are preferred
Configuration
PgBouncer Configuration Best Practices
Production-tested configuration patterns for optimal PgBouncer performance.
Production Configuration Example
Optimized settings for high-traffic web applications
[databases]
# Connection string with database aliasing
myapp = host=pg-primary.internal port=5432 dbname=production
myapp_readonly = host=pg-replica.internal port=5432 dbname=production
[pgbouncer]
# Listen on all interfaces
listen_addr = 0.0.0.0
listen_port = 6432
# Authentication
auth_type = scram-sha-256
auth_file = /etc/pgbouncer/userlist.txt
# Pool sizing - adjust based on PostgreSQL max_connections
default_pool_size = 20
min_pool_size = 5
reserve_pool_size = 5
reserve_pool_timeout = 3
# Connection limits
max_client_conn = 1000
max_db_connections = 50
# Pooling mode (transaction recommended for most apps)
pool_mode = transaction
# Timeouts
server_idle_timeout = 600
client_idle_timeout = 0
query_timeout = 0
client_login_timeout = 60
# Logging
log_connections = 1
log_disconnections = 1
log_pooler_errors = 1
stats_period = 60Pool Sizing Parameters
default_pool_size
Number of server connections per user/database pair. Start with 20 and tune based on concurrent query needs. Formula: (PostgreSQL max_connections - reserved) / expected_databases.
max_client_conn
Maximum client connections PgBouncer accepts. Can be much higher than PostgreSQL max_connections since connections are multiplexed.
reserve_pool_size
Extra connections for bursts when default pool is exhausted. Activates after reserve_pool_timeout seconds of waiting.
Timeout Settings
server_idle_timeout
Seconds before idle server connections are closed. 600s (10 min) is a good balance between connection reuse and resource cleanup.
client_idle_timeout
Disconnect idle clients after this many seconds. Set to 0 to disable. Useful for cleaning up abandoned connections.
query_timeout
Kill queries running longer than this. Set to 0 to disable. Be careful with long-running analytics queries.
Common PgBouncer Pitfalls to Avoid
Transaction Pooling + Prepared Statements
Named prepared statements fail in transaction mode because they're session-scoped. Either use session pooling or switch to unnamed (protocol-level) prepared statements.
SET Commands in Transaction Mode
Session-level SET commands (like SET search_path) are reset between transactions. Use SET LOCAL within transactions or configure defaults in postgresql.conf.
LISTEN/NOTIFY
LISTEN requires session pooling mode. In transaction mode, you'll lose notifications when the connection is released back to the pool.
Connection String Caching
Some ORMs cache connection parameters. After PgBouncer failover, cached connections may fail. Implement connection retry logic in your application.
FAQ
Frequently Asked Questions
Common questions about our PgBouncer services and PostgreSQL connection pooling optimization.
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