Organizations know that there is a drastic increase in the volume and velocity of data they collect, and they recognize the value that can be derived from this data. By collecting and analyzing the constant stream of data provided by sources, organizations can operate more effectively, while greatly improving operations, lowering risk, and improving the bottom line. But storing massive quantities of useful data is expensive and IT must get the most value out of every GB they deploy.

ESG was recently commissioned by Pure Storage to validate, using a combination of ESG’s research and economic validation services, the effectiveness of its storage efficiency technology when compared against alternative storage solutions and technologies. ESG validated data provided by thousands of real-world deployments that showed that Pure Storage solutions deliver 1.4X to 2.6X greater total storage efficiency than the alternative all-flash, hybrid, and CI/HCI systems that are currently deployed in today’s health care, financial, and FED/SLED environments.

ESG used this data to help model the expected total cost of ownership (TCO) for the typical storage requirements in each vertical. We found that Pure provided the lowest expected TCO $/GB when compared to the status quo of each of the listed storage technologies. ESG’s detailed TCO analysis showed that Pure customers can expect a 10% to 62% lower three-year TCO versus the current technologies that they may have deployed or are thinking of deploying (including current NVMe allflash storage systems from competing vendors).

The success of today’s businesses is tied to the quality and quantity of the data that they can produce, collect, and analyze. To compete in today’s digital age, organizations must rely on the actionable insight that comes from the data that they collect from as many sources as possible. Whether it be revealing new research insights, understanding relationships between seemingly disparate activities, uncovering new business opportunities, or streamlining internal operations, data is the critical cog that drives improvement across the organization. With emerging workloads such as digital media, collaboration, and business intelligence/data analytics accelerating storage growth faster than ever before, the burden falls on the IT organization to find a place to store and analyze the data.

Greater Storage Efficiency with Pure Storage

Greater Storage Efficiency with Pure Storage

Pure FlashArray//X is a 100% NVMe solution that delivers scalable, predictable latency and storage density for enterpriselevel mixed workload consolidation. FlashArray//X includes:

  • 100% NVMe performance: As low as 250 μs latency; up to 2X faster than previous gen AFAs; NVMe and NVMe-oF. 
  • Cost efficiency: Average of 5:1 data reduction, 10:1 total efficiency; all array software included.
  • Ultra-dense consolidation: 3PB effective in 6U. 
  • Simplicity: AI-driven management and predictive support; REST API for cloud orchestration; proven 99.9999% availability.
  • Always-on data encryption and rapid data-locking capability, plus always-on QoS. 
  • Array and cloud-based snapshots, and ActiveCluster synchronous active/active or asynchronous replication. 
  • Non-disruptive software updates and non-disruptive controller upgrades (no forklift upgrades). 
  • Evergreen Storage business model, combining Pure’s non-disruptive upgrades with investment protection.

Pure Storage Efficiency Benefits
The Purity Operating Environment was designed from the ground up for flash, with performance and efficiency top of mind. Data can be moved without negatively impacting performance, allowing for background optimizations that help improve storage efficiency. Pure provides integrated inline data reduction (deduplication and compression) that is designed to run at speeds required for mission-critical workloads.

Pure deduplication runs at a variable and more granular level than competing solutions, allowing it to remove more duplicate data. Pure leverages both high-speed inline compression with append-only and write variable addressing to provide greater compressibility of data, and then applies post-process compression to further compression savings in the background. Purity’s pattern removal identifies and removes repetitive binary patterns (not just extra zeros), and Pure performs space-efficient operations like copies and clones using metadata to avoid unnecessary inflation of data when migrating data or making copies. In addition, Purity’s thin provisioning is always on. The result is a highly efficient storage array that makes the most out of every GB of data that it has available.

The overall data reduction rate and total efficiency (as seen across existing deployments) are reported in real time on the Pure website, with an impressive 5:1 average global data reduction ratio and 10:1 total efficiency ratio (including thin provisioning). In addition, Pure provides a Right-Size Guarantee (RSG) for overall efficiency for new deployments, which can be extended with any capacity increase. The Pure FlashArray//X can deliver 3PB effective in just 6U of rack space, further providing savings by lowering power, cooling, and floorspace costs per GB, and lowering administrative costs by allowing administrators to consolidate more applications into a single array.

ESG’s Storage Efficiency Research Study

In order to validate that Pure Storage systems provide greater storage efficiency than alternative solutions, ESG executed a survey of 525 highly qualified storage practitioners and decision makers who were very familiar with their organization’s on-premises storage infrastructure. ESG collected data on the typical proportion of raw capacity that was writable, the mix of storage capacity types (all-flash, hybrid, HDD, or CI/HCI), the propensity to leverage data efficiency technologies such as deduplication, compression, and thin provisioning, and the average data efficiency achieved by capacity type and in environments overall.

The survey was targeted at organizations with 500 or more employees operating in the public sector (32%), finance (35%), or health care (32%) verticals and consisted of geographic regions of North America (US, Canada; 29%), South America (Argentina, Mexico; 24%), Western Europe (Germany, UK; 24%), and Asia-Pacific (Australia, New Zealand, Japan, Singapore, South Korea; 24%).

ESG’s Pure Efficiency Economic Value Model

ESG’s Pure Efficiency Economic Value Model

ESG leveraged the validated storage efficiency information collected from our research study, along with our public and industry knowledge of economics and technologies, to create a TCO/ROI model that compares the costs and benefits of deploying, managing, and supporting storage capacity over a three-year period. We used the median deployment size for each vertical across all deployments involved in the study as the basis for the required amount of storage and then added 20% capacity for future growth. We then applied the vertical-specific mean expected total efficiency as reported by Pure Telemetry data (Pure) and the ESG research study to calculate the capacity that must be deployed to satisfy the effective requirement.

This calculation included the typical capacity required for data protection and system files for each storage technology. We then leveraged ESG’s years of knowledge performing nearly 100 detailed TCO studies to estimate administration, infrastructure, and maintenance costs to compute the expected three-year total cost of ownership (TCO) to satisfy the requirements using each technology. The results are in the corresponding vertical-specific sections of this paper.

To read full download the whitepaper:
Validating the Economics of Improved Storage Efficiency with Pure Storage

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