Live Production Data Sharing — Without Risk or Performance Tradeoffs

Silk makes live production data safely shareable in real-time – without copying, delays, or performance impact.  

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Sharing Production Data Creates Risk

As more teams require access to production data for analytics, Dev/Test, and AI, traditional cloud architectures force a tradeoff between access and stability. To protect performance, organizations end up duplicating data, relying on snapshots or delayed pipelines, and maintaining isolated environments that increase cost and complexity.  

Silk eliminates the root cause: access tied to copying and isolation. As a software-defined SAN and cloud acceleration layer, Silk enables space-efficient, unlimited access to live production data – so teams can share what they need in real time while maintaining predictable performance for primary workloads.

What Changes With Silk

When production data is shared without copying: 

  • Immediate access to current production data 
  • No duplication or storage sprawl 
  • No performance impact on production workloads 
  • Centralized control over who accesses what 

The Silk Data Sharing Advantage

Real-Time Access to Live Production Data

Silk enables teams to access current production data instantly, without waiting for snapshots or ETL pipelines. Analytics, Dev/Test, and AI workloads operate on authoritative data in real time, accelerating insight and execution. 

No Copies, No Storage Sprawl

 Traditional data sharing depends on full copies and isolated environments, driving storage growth and operational overhead. Silk reduces duplication by enabling space-efficient access to live data—minimizing sprawl and simplifying infrastructure management. 

Before Silk

With Silk

Predictable Performance for Primary Workloads

Sharing production data should not degrade application performance. Silk dynamically governs performance across workloads, ensuring that broader access does not introduce latency or destabilize mission-critical systems. 

Shared Data Without Contention

Concurrent workloads often compete for the same resources, creating bottlenecks. Silk eliminates contention at the data layer, allowing multiple teams and systems to access shared data without interfering with one another. 

Before Silk

With Silk

Fewer Environments to Merge

Isolated Dev/Test, analytics, and reporting environments add complexity and cost. By enabling governed access to live data, Silk reduces the need for environment sprawl while maintaining performance and control. 

Before Silk

With Silk

Centralized Control and Safe Sharing

As data access expands, governance becomes critical. Silk provides centralized control over who accesses what data, ensuring sharing remains secure, auditable, and aligned with enterprise policies. 

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Make Production Data Shareable — By Design

Live production data sharing should not require copying, delays, or risk. 

Silk makes production data safely and predictably shareable — by design. 

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