Economics of Database Modernisation: A 3-Year TCO Comparison

Licensing: The Core Cost Driver

Proprietary databases typically operate on core-based licensing models.

For example:

• Oracle Enterprise Edition licensing can exceed $47,500 per core
• Annual support fees are commonly ~22% of licence cost
• Scaling CPUs multiplies licensing obligations
• AI and analytics workloads accelerate core growth

In a modest 16-core environment, three-year licence and support costs can exceed $1M before infrastructure.

PostgreSQL carries zero licence fees, regardless of core count.

AI Workloads Expose Licensing Fragility

Modern AI and vector workloads are CPU-intensive. Under proprietary models, adding compute directly increases licensing costs. PostgreSQL allows scaling without incremental licence penalties — materially changing long-term economics.

Infrastructure & Flexibility

Closed ecosystems often require compute and storage to scale together. PostgreSQL’s cloud-native deployments allow independent scaling, reducing overprovisioning and improving resource efficiency.

What 3-Year TCO Shows

Across independent case studies and enterprise migrations:

• 50–70% overall TCO reduction is common
• Up to 90% reduction in licensing and support costs
• 3-year ROI frequently exceeds 200%

Savings are not just theoretical. They are structural — driven by elimination of licence dependency and vendor lock-in.

The Strategic Conclusion

The database market exceeds $100 billion globally. Yet increasingly, CFOs are asking a simple question:

Why are we paying escalating licence fees for infrastructure that open, enterprise-grade alternatives can deliver at a fraction of the cost?

The shift to PostgreSQL is not ideological. It is economic.

Three-year TCO tells the story clearly.