Decentralisation is a recent and impactful advancement in data centre strategy. In simple terms, decentralised data is a functionality where information is stored across various locations rather than one central point. It offers enhanced protection of key data from any single point of failure.

As workloads require faster data processing and larger storage, decentralised systems offer many important advantages. Industry trends reveal a growing adoption of this model. In a recent study, 75 per cent of organisations said they were starting to use decentralised storage due to cost, security and business intelligence benefits.

In this blog, we’ll delve into decentralised data in data centres. We will:

Consider the advantages and limitations of a decentralised model
Explore the emerging technology of a decentralised internet versus centralised systems
Compare digital infrastructures for your business.

Let’s begin.

Decentralised Data: What It Is and How It Works

Decentralised data storage has become synonymous with innovative data centre strategies. Unlike traditional centralised systems where data is stored in one location, decentralised storage distributes it across multiple network nodes.

Decentralised data storage is associated with distributed ledger technologies such as blockchain. This approach is powered by distributed ledger technologies like blockchain. These functionalities enhance data security just as with blockchain, data security with decentralised data storage is enhanced by ensuring it is not confined to a single, vulnerable point. If a breach occurs, the potential loss of data is much less than in a centralised system.

What Are The Advantages Of Decentralised Data?

As well as security advantages, the benefits of decentralised data also include:

Ensuring the high availability of data by avoiding performance bottlenecks
Allowing scalability and system expansion by eliminating a single central authority
Promoting data sharing and innovation.

However, embracing decentralised data is not without its challenges.

What Are The Challenges Of Decentralised Data?

Interacting with decentralised applications can be challenging. It requires highly organised and well-planned systems to produce results. Then, it requires expertise to build, manage and expand. A crucial part of the system is ensuring data consistency across all nodes, keeping information accurate and relevant.

There is an elevated risk of fraud and scams due to the high level of volatility with the technology. Organisations must also protect each node instead of concentrating on one central place.

What Are Some Use Cases Of Decentralised Data?

With a reliable decentralised infrastructure, use cases are diverse and impactful. For example, decentralised data and blockchain technology could play a crucial role in:

Ensuring the security of voter data during elections
Managing sensitive healthcare records
Enhancing the integrity of public records management
In fields like law and financial services, decentralised data can help protect contracts, intellectual property and personal rights.

The wide-ranging use cases show that a decentralised internet is not just a new method of storing information. In the long term, it could completely reshape how we think about data security, accessibility and integrity.

Decentralised Data in Data Centres: A New Approach to Data Storage and Management

While decentralised data influences many sectors, it is particularly impactful in modern data centre strategy. This change is not just normal digital transformation — it's a complete shift in how data centres hold, manage and secure information.

The Advantages Of Decentralised Data In Data Centres

The move towards decentralised storage in data centres brings benefits for both service providers and end users:

Security — not having a single point of failure makes data less susceptible to breaches and attacks.
Data privacy — protection is increased, with users having more control over their information.
Reliability — decentralised systems are less prone to downtime due to their spread-out nature.

There are also many business benefits. Decentralised data can help lower storage and computing power costs as it reduces the need for hardware and infrastructure, enabling a more cost-effective solution. At the same time, it allows companies to enhance reliability and scalability.

The Challenges Of Decentralised Data In Data Centres

However, implementing decentralised data in data centres is not always straightforward. Decentralisation is complex. It requires significant expertise and resources to get right. If an organisation needs their system to manage a vast amount of data or provide low latency, it must be well-designed to improve on a centralised system.

As with any decentralised solution, there's also a heightened risk of fraud and scams. Advanced technologies like blockchain can also challenge user understanding and uptake.

Use Cases And Examples Of Decentralised Data In Data Centres

Despite the challenges, data centres can gain an enormous amount from decentralised data storage. For example, decentralisation can be used in data centres for:

Secure data backup, offering robust protection for crucial files and documents.
Real-time file sharing, ensuring speed, privacy and security
Protecting highly regulated industries, particularly government and healthcare sectors
A viable alternative to traditional centralised cloud services, offering a blend of security and accessibility.
Bringing Data closer to users to provide better user experience (latencies)
Manage Data in decentralise location to be process, analyse, better data.

Above all, a forward-thinking data centre will understand the difference between decentralised data and centralised data — knowing when one fits better.

Largest Datacentre provider from footprint in the world, Digital Realty has a unique vantage point on how technology infrastructure is built, deployed, and operated.

Decentralised Data vs Centralised Data: A Comparison

When considering a new workload or system, the comparison of decentralised data and centralised data is crucial. When choosing, consider factors like:

Performance: Decentralised data excels in reliability and security. By avoiding a single point of failure, it ensures continuous access and robust protection against cyber threats. Centralised systems can be faster for simple tasks but can face bandwidth bottlenecks that impact performance.
Scalability: Decentralised data storage is typically more scalable. It encourages expansion, accommodating growing data needs without significant restructuring. Scaling up centralised systems can be costlier and more complex.
Security: Decentralised data offers enhanced data privacy and reduced risks of data breaches. Centralised systems can be more vulnerable to attacks — although typically have more dedicated defences than a decentralised system.
Ease-of-use: Centralised data models are generally simpler to implement and manage. Decentralised data, while offering long-term benefits in security and scalability, can be more complex.
Cost: Both centralised and decentralised models have the potential to be cost-effective, depending on the use case. By being cloud-based, both have lower upfront provisioning costs than an on-premises solution.

Therefore, choosing decentralised data means increased privacy, security, control, and reliability. It empowers you to have more ownership of your data, ultimately enhancing your overall data management experience.

For cloud users, the concept of decentralisation exists in the context of cloud, too. Decentralised cloud distributes computing resources, such as storage, processing power, and networking across multiple nodes or devices, and it shares similar benefits as decentralised data, including increased reliability and data privacy.

How to Choose Between Decentralised Data and Centralised Data for Your Data Centre

When deciding between decentralised and centralised data for your data centre, consider several factors. Generally, centralised data brings streamlined management and more straightforward analysis. However, it can create data silos and privacy concerns while being a single point of failure.

Decentralised data brings scalability and resilience. Businesses can use it to spread data across multiple cloud storage devices, ensuring redundancy and lowering the consequences should a breach happen. Bear in mind that decentralising also demands rigorous coordination and security measures.

Best practices for selection and implementation include:

Identifying business objectives and how they relate to your storage
Considering the cost implications of both solutions
Assessing the required security level and scalability needed for your data.

Above all, selecting between decentralised data and centralised data requires a strategic approach. Balance the benefits against potential challenges and choose the type that best fits your needs. In some cases, a hybrid strategy is seen as the best solution as it allows for the benefits of both approaches by leveraging the scalability and efficiency of centralised systems while maintaining decentralisation for security and transparency. By incorporating elements of both, a hybrid strategy addresses the limitations of pure centralisation or pure decentralisation.

The Right Data Storage For Your Business

Decentralised data — a significant advancement in data centre strategy — involves storing information across various locations rather than a central point. This enhances security and reliability, while businesses are increasingly adopting it for the cost, security and business intelligence benefits.

Digital Realty’s colocation and data centre services can help bring your decentralised data strategies to life. Our PlatformDIGITAL family — featuring the innovative ServiceFabric — provides a global interconnectivity solution. It's an orchestration platform uniquely designed to support distributed cloud computing and hybrid IT environments, streamlining your data storage needs.

Looking to revolutionise your data storage? Contact Digital Realty to explore how our cutting-edge solutions can help. You can also visit our resources section for more information on managing your decentralised data.

Frequently Asked Questions (FAQs) About Decentralised Data Centres

What Is A Decentralised Data Centre?

A decentralised data centre is an innovative approach to data storage. Instead of being housed in a single central store, information is distributed across various locations (or nodes). This method enhances data security and reliability by eliminating a single point of failure.

What Is The Difference Between Centralised And Decentralised Data Centres?

The key difference between centralised and decentralised data centres lies in data storage and management. Centralised data centres store all data in one location, simplifying management but creating potential bottlenecks and security issues. Decentralised data centres spread data across multiple sites, enhancing security and reducing the risk of data loss or downtime.

How Does Decentralised Data Storage Work?

Decentralised data storage works by keeping data across multiple network nodes, just as blockchain and distributed ledger technologies. Distributed ledger technology (DLT) is a decentralised database system that records and maintains a continuously growing list of ordered and timestamped records, or transactions, across a network of multiple participants or nodes. It allows multiple parties to have simultaneous access to a shared database without the need for a central authority or intermediary. This is often done using technologies like blockchain. A decentralised setup ensures no single point controls all the data —reducing the risk of cyberattacks and improving data security and accessibility.

Why Is Data Decentralised?

Data is decentralised to improve security and resilience against cyberattacks while protecting against data loss. By distributing data across multiple locations, it avoids the vulnerabilities of a single point of failure. This helps ensure better protection and continuous access to data.

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