PostgreSQL Backup: pg_dumpall vs pg_basebackup Compared


When managing a PostgreSQL database in production, backup isn’t optional — it’s essential.
But with tools like pg_dumpall
, pg_basebackup
, and pg_dump
, it’s easy to feel overwhelmed.
Which tool fits your environment best?
This post compares two commonly misunderstood options: pg_dumpall and pg_basebackup.
1. pg_dumpall – Logical Cluster-wide Backup
pg_dumpall
creates a complete logical backup of your PostgreSQL cluster, meaning it exports data as SQL statements.
Pros:
Highly portable (text-based SQL)
Compatible across PostgreSQL versions
Includes roles, permissions, and all databases
Cons:
Slower on large datasets
Restores require recreating indexes, sequences, views
Doesn’t support Point-In-Time Recovery (PITR)
Use case: Migrating environments or creating a full SQL dump of all databases
pg_dumpall > all_backup.sql
2. pg_basebackup – Physical Cluster-level Backup
pg_basebackup
performs a physical backup, copying the entire PostgreSQL data directory, including WAL (Write-Ahead Log) files.
Pros:
Supports PITR when used with WAL archiving
Fast and snapshot-like
Ideal for initializing replicas
Cons:
Must use same PostgreSQL version for recovery
Requires matching directory structure
Less portable (binary format)
Use case: Setting up replication or full-system disaster recovery
pg_basebackup -D /var/lib/postgresql/backup -Fp -Xs -P -v
Which One Should You Use?
Use Case | Recommended Tool |
Full logical backup for migration | pg_dumpall |
Point-in-time recovery support | pg_basebackup |
Version-flexible backups | pg_dumpall |
High availability and replication | pg_basebackup |
Final Thoughts
pg_dumpall
= portable, flexible, slowerpg_basebackup
= faster, powerful for HA, but less flexible
👉 Choose based on your operational needs.
Backups are not just about saving — they’re about restoring.
And restoration strategy defines your infrastructure maturity.
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