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In the world of enterprise databases, two names stand out for every DBA — Oracle Database, which has dominated the market for over 40 years, and PostgreSQL, which has grown from an open-source project to become a trusted choice for mission-critical systems worldwide. This article provides an in-depth comparison from the DBA perspective — covering Query Optimizer, Partitioning, Replication, and Total Cost of Ownership — to help organizations using PostgreSQL or considering migrating from Oracle make confident decisions.
Overview Comparison Table
| Aspect | PostgreSQL | Oracle Database |
|---|---|---|
| License | Open Source (PostgreSQL License) — Free forever, no per-core fees | Commercial — Named User Plus or Processor License (starts at millions of baht) |
| Architecture | Process-per-Connection (fork model) | Shared Memory + Thread-based (SGA/PGA) |
| MVCC | Tuple-level versioning + VACUUM | Undo Segment (Rollback Segment) |
| SQL Standard | Very high SQL:2023 compliance | SQL:2023 + proprietary extensions |
| Max DB Size | Unlimited (tested at petabyte scale) | Unlimited |
| Community | Open-source community + supporting companies (EDB, Crunchy Data, etc.) | Oracle Corporation + Partner ecosystem |
Performance & Query Optimizer
Both PostgreSQL and Oracle use a Cost-Based Optimizer (CBO) to choose Query Execution Plans, but there are important differences:
PostgreSQL Query Planner
- Uses a Statistics Collector to gather column distribution data via
ANALYZE - Supports Parallel Query since version 9.6 — current versions (18.x) support Parallel Seq Scan, Index Scan, Hash Join, Merge Join, and Aggregation
- JIT Compilation (LLVM) since version 11 — accelerates queries with complex expressions
- Tune the Planner directly via
work_mem,effective_cache_size,random_page_cost - pg_stat_statements makes it easy to identify slow queries
Oracle Query Optimizer
- Uses Adaptive Query Optimization that can change plans during execution
- SQL Plan Management (SPM) prevents plan regression — locks in good plans
- Real Application Testing (RAT) tests real workloads before upgrades
- AWR (Automatic Workload Repository) automatically captures performance baselines
- More granular Parallel Query — set Degree of Parallelism (DOP) at the Table, Index, or Session level
Summary: Oracle has a "smarter" Optimizer with Adaptive Plans and Plan Management, but PostgreSQL is more than sufficient for most workloads. A skilled DBA can tune PostgreSQL to achieve comparable performance. PostgreSQL's key advantage: all features are included — no paid options required
Partitioning
Data partitioning is essential for ERP systems handling tens of millions of records.
| Feature | PostgreSQL 18 | Oracle 23ai |
|---|---|---|
| Range Partition | Supported | Supported |
| List Partition | Supported | Supported |
| Hash Partition | Supported | Supported |
| Composite (Sub-partition) | Supported (multi-level) | Supported (Range-Hash, Range-List, etc.) |
| Automatic Partition | No built-in — use pg_partman extension |
Interval Partition automatically creates new partitions when data exceeds range |
| Partition Pruning | Supported (since PG 11) | Supported |
| Online Partition Management | ATTACH/DETACH without full table lock (PG 14+) | Online Move/Split/Merge Partition |
Replication & High Availability
For ERP systems requiring Disaster Recovery and zero downtime, the choice of replication method is critical.
PostgreSQL
- Streaming Replication — Physical replication at the WAL (Write-Ahead Log) level, built-in since PG 9.0
- Logical Replication — Selectively replicate specific tables or schemas (PG 10+)
- Synchronous Replication — Guarantees zero data loss
- Patroni / repmgr — Widely-used automatic failover solutions (open source)
- No built-in Active-Active Multi-Master — requires extensions like BDR (Bi-Directional Replication)
Oracle
- Data Guard — Physical/Logical Standby with automatic Switchover/Failover (requires paid option)
- Active Data Guard — Read from standby while replication is active (requires additional paid option)
- GoldenGate — Logical replication across platforms with Change Data Capture (CDC) support
- RAC (Real Application Clusters) — Active-Active clustering where all nodes can read and write simultaneously (requires paid option)
Key Point: Many of Oracle's HA features require additional paid options beyond the base license — RAC, Active Data Guard, and GoldenGate all carry extra costs. PostgreSQL provides Streaming Replication + Logical Replication completely free.
JSON & NoSQL Capabilities
Both systems support JSON but take different approaches:
| Feature | PostgreSQL | Oracle |
|---|---|---|
| Data Type | jsonb — Binary format, indexable, fast query |
JSON type + JSON Duality View (23ai) |
| Indexing | GIN Index on jsonb — Full-text search within JSON | Function-based Index, JSON Search Index |
| SQL/JSON Path | SQL/JSON standard support (PG 12+) | SQL/JSON standard support |
| Unique Feature | jsonb operators (@>, ?, #>) — very easy to use |
JSON Duality View — view relational tables as JSON documents |
PL/pgSQL vs PL/SQL
For DBAs who need to migrate stored procedures from Oracle to PostgreSQL, these are the key differences to watch for:
| Feature | PL/pgSQL | PL/SQL (Oracle) |
|---|---|---|
| Syntax | Similar to PL/SQL but not 100% identical | Oracle's standard language |
| Package | No Package support — use Schema + Extension instead | Full Package support (Header + Body) |
| Autonomous Transaction | No built-in — use dblink or pg_background instead |
PRAGMA AUTONOMOUS_TRANSACTION |
| Exception Handling | EXCEPTION WHEN — similar to PL/SQL |
EXCEPTION WHEN |
| Cursor | Supported — slightly different syntax | Supported — REF CURSOR, SYS_REFCURSOR |
| Bulk Operations | No FORALL — use INSERT ... SELECT or COPY instead |
FORALL, BULK COLLECT |
Migration Tip: When migrating from Oracle to PostgreSQL, tools like Ora2Pg can automatically convert approximately 80-90% of PL/SQL to PL/pgSQL. The remaining code needs manual adjustment, especially Packages and Autonomous Transactions.
Security
Data security is critical for ERP systems handling financial data, employee records, and customer information.
| Feature | PostgreSQL | Oracle |
|---|---|---|
| Row-Level Security (RLS) | Built-in (PG 9.5+) — define policies per table | Virtual Private Database (VPD) — requires paid option |
| Encryption at Rest (TDE) | No built-in TDE — use pgcrypto or OS-level encryption |
Transparent Data Encryption — encrypts at tablespace level (requires Advanced Security Option) |
| Audit | pgAudit extension — logs all SQL statements |
Unified Auditing — more granular, multi-level policy support |
| SSL/TLS | Supported — can enforce SSL per user/database | Supported — Oracle Net encryption |
| Data Masking | Achievable via Views + RLS — no built-in masking | Data Redaction — real-time data masking (requires paid option) |
Monitoring & Tooling
DBAs need good monitoring tools — this is where Oracle has a clear advantage, but PostgreSQL's ecosystem is growing rapidly.
| Aspect | PostgreSQL | Oracle |
|---|---|---|
| Performance Stats | pg_stat_statements + pg_stat_activity |
AWR + ASH + ADDM (Automatic Database Diagnostic Monitor) |
| Log Analysis | pgBadger — analyzes logs and generates HTML reports | Oracle Enterprise Manager (OEM) |
| GUI Management | pgAdmin, DBeaver, DataGrip (free/affordable) | Oracle Enterprise Manager Cloud Control (requires paid pack) |
| Grafana Integration | Very easy — many ready-made dashboards available | Possible but more complex to set up |
Total Cost of Ownership (TCO) — The Real Decision Factor
For executives making decisions, the 5-year Total Cost of Ownership is the most important number:
| Item | PostgreSQL | Oracle Enterprise |
|---|---|---|
| License (5 years) | $0 | $150K–$1.5M+ (depending on core count) |
| Support/Maintenance | $0 (Community) or $15K–$60K/year (Commercial Support) | 22% of license cost per year |
| DBA Salary | $1,500–$3,500/month (Thai market) | $2,300–$5,700/month (Oracle DBAs are harder to find) |
| Options/Add-ons | All features free — Partitioning, Replication, RLS require no additional purchase | RAC, Data Guard, Advanced Security, Partitioning all require paid options |
| Infrastructure | Works on any Linux distro, containers, all cloud providers | Oracle Linux/RHEL recommended — license costs may increase in the cloud |
TCO Summary: For a 2-processor server (16 cores) over 5 years, Oracle Enterprise Edition can cost 10–50 times more than PostgreSQL depending on the options required. This is the primary reason many organizations are migrating to PostgreSQL.
When to Choose PostgreSQL / When You Still Need Oracle
Choose PostgreSQL when:
- You want to significantly reduce license costs
- You want all features at one price — Partitioning, Replication, RLS, JSON are all free
- You need flexibility — works with any cloud, containers, Kubernetes
- Your workload is medium to large OLTP that doesn't require RAC
- Your DBA team has Linux/Open Source skills and is ready to learn
- You want to avoid vendor lock-in
You still need Oracle when:
- You require RAC (Active-Active Clustering) — PostgreSQL has no built-in equivalent
- You have extensive PL/SQL legacy code that is difficult or impractical to migrate
- You need Adaptive Query Optimization + SQL Plan Management for highly complex workloads
- Your organization has an existing long-term support contract with Oracle
- You require TDE (Transparent Data Encryption) at the tablespace level
Global Organizations Using PostgreSQL
PostgreSQL won the DBMS of the Year 2023 award from DB-Engines (score increase of 22.5%) and continues to grow steadily — currently ranked #4 worldwide behind Oracle, MySQL, and MS SQL Server with 16.85% market share. Over 48,000 organizations globally use PostgreSQL in production:
| Organization | Use Case |
|---|---|
| Apple | Replaced MySQL in 2010 — default database on macOS Server |
| Instagram (Meta) | One of the largest PostgreSQL deployments in the world — serving hundreds of millions of users daily |
| Spotify | Uses PostgreSQL + Cassandra as the core infrastructure for its music platform |
| Netflix | PostgreSQL in backend systems supporting global streaming |
| Uber | Large-scale data management for ride-sharing operations |
| Core database for one of the world's top community platforms | |
| Discord | Chat system supporting millions of concurrent users |
| NASA | Scientific data storage and analysis systems |
DB-Engines Ranking (Feb 2026): Oracle (1,204 points) → MySQL (868) → MS SQL Server (708) → PostgreSQL (672) → MongoDB — While not yet #1, PostgreSQL is the fastest-growing in the Top 5 and is trending to overtake MS SQL Server in the near future.
Case Study — TGO Has Used PostgreSQL with Saeree ERP for Over 14 Years
Thailand Greenhouse Gas Management Organization (TGO) is one of the government organizations that has used PostgreSQL as the core database for Saeree ERP since 2011 — over 14 years of PostgreSQL proving itself in a real production environment:
- Stability — No downtime from database issues
- Performance — Handles all organizational users without problems
- Continuous upgrades — Upgraded from PostgreSQL 9.x to 12 to 14 to 18 without issues
- License cost = $0 over the entire 14 years
PostgreSQL is not "inferior free software" — it is an enterprise-grade database with no license fees. What differs from Oracle is the cost, not the quality.
- Saeree ERP Team
Conclusion
- Oracle remains the "gold standard" — for organizations that need RAC, TDE, Adaptive Optimizer, and are willing to pay for licenses
- PostgreSQL has reached enterprise level — with comprehensive features and comparable performance
- TCO is the deciding factor — Oracle's 5-year license cost could fund DBA salaries + entirely new hardware for PostgreSQL
- Migration is feasible — Tools like Ora2Pg significantly reduce migration time
- Stay up to date — Follow the latest patches to maintain system stability
If your organization is considering migrating from Oracle to PostgreSQL or needs database consulting for ERP systems, you can contact our consulting team for a free consultation at no charge.
