Data Sovereignty and Its Importance for Telecommunications and Financial Services
In brief: Data sovereignty refers to an organisation’s ability to maintain independent control over its data, including how it is accessed, processed and distributed.
In regulated sectors such as telecommunications, financial services and the public sector, its importance stems from regulatory compliance requirements, the need for uninterrupted service and the operational risks associated with vendor dependency. When a vendor changes its business model—for example, by adopting a cloud-first strategy—organisations that have not yet defined their data sovereignty strategy may be compelled to change their architecture.
What Does Data Sovereignty Encompass
Data sovereignty can be assessed across three dimensions:
- Control: Who can access the data, and under what conditions?
- Continuity: Would a change in the vendor’s business model require a change in architecture?
- Compliance: Which deployment model is required by sector-specific regulations?
Data sovereignty extends beyond the requirement to physically store data in a particular country. It involves maintaining control, continuity and compliance together.
Why Is This Issue Receiving Attention Now
The wave of consolidation in the PostgreSQL ecosystem, as major cloud providers acquire key PostgreSQL vendors, has placed many organisations in an unexpected position. A vendor selected for the control and flexibility it offered may now be steering them exclusively towards a cloud-first model. For sectors that require on-premises or hybrid deployments, this represents a significant step backwards.
Three Decision Criteria for Telecommunications and Financial Services
- Assured service continuity — the 99.999% availability standard, also known as five nines.
- On-premises and cloud flexibility — a hybrid architecture that is not entirely dependent on the cloud.
- Regulatory control — the ability to meet audit, logging and data residency requirements.
An infrastructure strategy that does not meet all three criteria will, sooner or later, lead to a compliance crisis.
How a Hybrid PostgreSQL Approach Supports Data Sovereignty
Requirement | How a Hybrid PostgreSQL Approach Addresses It |
Vendor independence | Long-term technical independence through an open, extensible ecosystem. |
Flexible deployment | The ability to run workloads on-premises, in the cloud or across both environments. |
Resilience to strategic changes | The ability to continue operating without changing the architecture, even if the vendor’s business model changes. |
This approach offers the most balanced position between full dependence on a major cloud provider and a fully closed, isolated on-premises environment.
How Organisations Can Assess Data Sovereignty
The following three questions provide a quick overview of the current position:
- If our current database provider changes its business model, how many months would we have before we are required to change our architecture?
- During a regulatory audit, how quickly can we report data access logs and data residency information, measured in minutes?
- If we need to move to a hybrid deployment combining on-premises and cloud environments, does our current architecture support it?
Frequently Asked Questions
Are data sovereignty and data localisation the same?
No. Data localisation refers to keeping data within a specific geographical boundary. Data sovereignty is a broader concept encompassing control, continuity and compliance. Data localisation is only one component of data sovereignty.
Is a hybrid deployment more secure than a fully cloud-based deployment?
The level of security depends on the implementation. However, a hybrid deployment offers greater flexibility in scenarios that require regulatory control and vendor independence.
What does 99.999% availability mean in practice?
This level of availability corresponds to approximately less than five minutes of unplanned downtime per year and is regarded as a standard in sectors with low tolerance for downtime, such as telecommunications and financial services.
Does open-source PostgreSQL offer advantages over proprietary alternatives in terms of data sovereignty?
An open-source foundation reduces vendor lock-in, giving organisations the flexibility to shape and migrate their architecture independently.