A guide to multi-cloud storage and data management solutions

In today’s hyperconnected ecosystem, data has become both an enterprise’s most valuable asset and its greatest operational challenge. As organisations move beyond traditional connectivity models, storing data in a single, isolated silo is no longer viable. Digital excellence now depends on the ability to store, move, and manage data seamlessly across a digital fabric that spans multiple cloud providers, on-premises data centres, and edge locations.

However, many IT leaders have learned that distributing data across platforms such as AWS, Microsoft Azure, and Google Cloud Platform (GCP) can quickly lead to a “cloud experience turned sour” if the underlying architecture is not robust. At Tata Communications, we believe the success of any multi-cloud strategy depends on simplifying the complex networking that binds storage environments together and enables secure, high-performance access to data.

What is multi-cloud storage and data management?

Multi-cloud data management refers to the strategic use of multiple cloud storage services from different providers to create a unified, resilient, and highly available data environment. It goes far beyond maintaining multiple cloud accounts. Instead, it focuses on orchestrating data across these environments so that it is accessible where and when the business needs it.

In a modern enterprise, this orchestration relies heavily on Software-Defined Networking (SDN) and Network Functions Virtualisation (NFV). By shifting critical networking and security functions from physical hardware to software-based virtual machines, organisations gain the agility required to manage data at scale.

This approach transforms rigid, hardware-bound storage into a flexible, platform-driven model. Data is delivered through Network-as-a-Service (NaaS), enabling centralised control, rapid provisioning, and seamless scaling. This is the foundation of multi-cloud data management for the enterprise, allowing IT teams to manage complex storage environments with consistency and confidence.

Why enterprises adopt multi-cloud storage strategies

The adoption of multi-cloud data storage is driven by resilience, flexibility, and cost optimisation. Enterprises are increasingly recognising the advantages of multi-cloud storage as part of their broader digital transformation strategies.

• Avoiding vendor lock-in

  By distributing data across multiple Cloud Service Providers (CSPs), organisations avoid dependence on a single vendor’s pricing model, roadmap, or technical limitations. This flexibility strengthens negotiating power and long-term strategic control.

• Mitigating operational risk

  Storing data across different providers creates built-in resilience. If one cloud experiences an outage or regional failure, critical data remains accessible from another environment, supporting business continuity.

• Leveraging provider-specific strengths

  Each cloud platform offers unique capabilities. An enterprise may use Azure for tight integration with business applications, while leveraging GCP for advanced analytics and machine learning. Multi-cloud storage enables organisations to take advantage of these specialised strengths without compromise.
  
  

Core components of multi-cloud storage and data management

Building a reliable and scalable data management architecture requires several foundational components:

1. Dedicated private connectivity

   Relying on the public internet introduces latency, jitter, and unpredictable performance. Private connectivity solutions such as AWS Direct Connect, Azure ExpressRoute, and GCP Interconnect provide secure, high-speed access to cloud storage environments.

2. Network hub (Network Landing Zone)

   A Network Landing Zone acts as a central aggregation point for networking and security services within each cloud. It simplifies traffic management, improves visibility, and reduces operational complexity.

3. Orchestration platforms

   Platforms such as Tata Communications TCX enable centralised, platform-based configuration. IT teams can provision bandwidth, deploy virtual functions, and manage connectivity in under ten minutes.

4. Edge integration

   Directly connecting branch offices and distributed data centres to cloud environments ensures that data generated at the edge is captured, transferred, and stored efficiently.

Together, these elements form the backbone of effective multi-cloud storage management.

Data placement, mobility, and lifecycle management in multi-cloud environments

Effective multi-cloud data management requires continuous decision-making around where data should reside. This is not a static process. Data placement must adapt to performance needs, cost considerations, and compliance requirements.

Data mobility, moving information between Branch-to-Cloud, Data Centre-to-Cloud, and Cloud-to-Cloud environments, is critical for optimising both cost and performance. A Network Hub approach simplifies aggregation, creating a single landing zone that improves visibility and control.

Understanding data “velocity” is equally important. High-demand data should be placed close to compute resources, often within 2 milliseconds, while archival or infrequently accessed data can be moved to lower-cost storage tiers. Lifecycle management ensures data transitions smoothly between tiers as its value changes over time.

Security, compliance, and governance in multi-cloud data management

Security is one of the most significant concerns in multi-cloud adoption. As data spreads across providers, the attack surface expands. Traditional VPN-based security models are no longer sufficient.

A robust strategy incorporates Zero Trust Network Access (ZTNA) and Secure Access Service Edge (SASE), ensuring that every user, device, and application is verified before access is granted.

Governance is equally essential. Data residency and sovereignty laws vary by region, requiring enterprises to maintain strict control over where data is stored and how it moves. Effective governance depends on complete visibility into virtual networks, traffic flows, and routing configurations, ensuring sensitive data never crosses unauthorised boundaries.

Key challenges in managing data across multiple clouds

Despite its benefits, managing data across multiple clouds presents several challenges:

• The egress spiral

  Cloud providers charge for moving data out of their networks, often at high and unpredictable rates. Without intelligent architecture, these costs can spiral and undermine the ROI of cloud investments.

• Fragmented visibility

  Managing separate portals and tools for each CSP leads to blind spots in traffic monitoring and performance troubleshooting.

• Operational rigidity

  Traditional network provisioning often involves long lead times. When enterprises need to move large data sets quickly, waiting weeks for changes is not viable.

• Unpredictable performance

  Data-intensive applications suffer when traffic is forced over the public internet, resulting in latency and degraded user experience.

Best practices for multi-cloud storage and data management

To build a future-ready data architecture, enterprises should adopt the following best practices:

• Optimise data placement

  Use calculators and assessments to identify the most cost-effective and performance-appropriate location for each data set.

• Prioritise private connectivity

  Bypass the public internet wherever possible to ensure predictable performance for mission-critical workloads.

• Automate provisioning

  Leverage Software-Defined Cloud Interconnect (SDCI) to automate network extension from on-premises infrastructure to the cloud, reducing risk and manual errors.

• Adopt unified billing models

  Daily billing and on-demand bandwidth help align costs with actual storage and data movement requirements.

How Tata Communications enables secure and scalable multi-cloud data management

Tata Communications simplifies multi-cloud data management for the enterprise through IZO™+ Multi Cloud Connect. Our solution is purpose-built to address fragmented visibility and escalating egress costs.

Enterprises can establish cloud connections in under ten minutes with fewer than ten clicks, enabling rapid data movement at scale. With Points of Presence located within 2 milliseconds of major cloud providers, we ensure faster, more reliable access to applications and storage.

Our intelligent architecture helps organisations reduce data egress costs by 25–40%. Backed by a 100% uptime SLA and fully redundant design, we ensure mission-critical data is always available, delivering zero downtime for business-critical operations.

Conclusion: Building a resilient and governed multi-cloud data strategy

A successful multi-cloud data strategy is about more than storage. It is about building a secure, agile, and cost-efficient infrastructure that supports long-term digital transformation.

By simplifying complex cloud networks, improving visibility, and optimising costs, enterprises can turn data into a powerful competitive advantage. Tata Communications provides the digital fabric that enables this transformation, helping organisations move from traditional connectivity to a hyperconnected, future-ready ecosystem.

Simplify cloud connectivity, optimise data movement and improve performance across AWS, Azure and Google Cloud with IZO™+ Multi Cloud Connect. Schedule A Conversation