Customer Proof
$2.8M annual cloud storage savings at Franciscan Healthcare
32× faster analytics and ETL workflows at Sentara Health
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REPORT
Gartner Names Silk in the 2026 Hype Cycle
See Gartner's perspective on the technologies shaping strategic cost management.
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Predictable Application Performance — Without Overprovisioning

Silk decouples performance from capacity so you can meet SLAs without oversizing cloud infrastructure.

Performance Variability Breaks SLAs

As cloud environments scale, shared infrastructure creates unpredictable latency and throughput. Teams compensate by overprovisioning, isolating applications, and constantly tuning infrastructure. 

Silk decouples performance from capacity, dynamically delivering the latency and throughput applications need based on real demand - not storage size or static infrastructure limits. 

Predictable Performance by Design

  • Decouple Performance from Capacity

    Silk separates performance from capacity at the data layer, so organizations can size infrastructure for actual workload needs without sacrificing performance SLAs.

  • Stable Latency at Scale

    Silk dynamically manages performance as environments grow, keeping applications responsive even as demand and usage fluctuate.

  • Throughput Under Concurrency

    Silk sustains throughput as applications, users, and services access data simultaneously - without isolating workloads or building redundant infrastructure.

  • Shared Infrastructure Without Contention

    Multiple applications can share infrastructure while maintaining predictable performance, reducing fragmentation, tuning, and operational complexity.

  • Safely Share Live Data

    Give analytics, testing, and AI teams access to live production data without creating copies or putting application performance at risk.

  • SLAs Built Into the Architecture

    Silk embeds performance governance into the data layer, helping organizations meet SLAs without constant monitoring, tuning, or worst-case overprovisioning.

SilkLayersT

How Silk Performance Compares...

AWS-1
To Native AWS Performance
Azure
To Native Azure Performance
GC
To Native Google Cloud Performance

Proven Predictable Performance in Production

50%
Higher IOPS compared to native cloud storage
Subms
Latency at scale
20M
Rows/sec SQL Server insert throughput

Explore Predictable Performance in Action

See how Silk helps organizations improve application performance, control cloud costs, and modernize mission-critical workloads.

Learn How to Deliver Predictable Cloud Performance

See how to reduce variability, control costs, and meet application SLAs in the cloud.

Understand the Cost-Performance Tradeoff

Explore how to maximize application performance without overprovisioning infrastructure.

See How a Retailer Accelerated SQL Server on Google Cloud

Discover how Silk helped deliver faster-than-on-prem performance for Microsoft SQL Server in the Cloud