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ESG confirms Scality is 10 times faster than other object-based storage

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Tyna Callahan

Tyna Callahan

Sr. Director of Communications

Three significant highlights of the ESG Lab

Scality RING Organic Storage V4.0
San Francisco, CA – April 3, 2012

In a report published yesterday, ESG Lab confirms the exceptional performance of Scality RING Organic Storage V4.0, showing write throughput of 3.3 GB/s with an average read time below 5ms for a simple 5 server cluster**. In his Lab Validation Highlights, Brian Garett, VP of ESG Lab, writes “ESG Lab verified exceptional performance for an object-based storage solution, which rivals block-based solutions. Aggregate throughput scaled linearly as nodes were added to a RING and performance remained balanced throughout each node of a RING. Response times improved as the RING grew in size, allowing for predictability when deploying a RING.”

Jérôme Lecat commented on these results “Scality, has always claimed to deliver exceptional performance. But in a world of hype, such claim had little weight until confirmed by a third party. We are very proud of the results published today by one of the leading analyst and testing firms in the storage industry. They prove that our technology delivers in the three dimensions of storage performance: IOPS, throughput and low latency.”

ESG Lab Validation Report

ESG concluded on the performance of Scality RING Organic Storage: “For a five-server Scality RING leveraging Intel Xeon 5600 servers with Intel SSD drives and Gnodal low-latency 10GbE, ESG Lab confirmed response times of no more than 7.05 ms for gets, puts, and deletes—10X the performance of traditional architectures — as well as increasing aggregate performance as nodes are added to the RING. In addition, throughput scalability of 26,428Mb/sec rivals that of high performance computing systems. The five nodes automatically balanced the load as objects were added, ensuring predictability and optimal performance.” According to ESG, this throughput is sufficient to support 2,298 simultaneous streams of HD Broadcast TV. Furthermore the “ESG Lab confirmed that the extreme aggregate throughput requirements of a cloud-based content delivery solution can be addressed by simply adding the right number of high performance Intel server nodes to an organic Scality RING.”

Three significant highlights of the ESG Lab examining the scalability of RING Organic Storage:

* ESG Lab verified the manageability of a Scality infrastructure using the Scality Supervisor to view RING deployments. The graphical representation of how each storage node was connected via key addresses was particularly impressive.

* Increasing or decreasing the size of a RING can be done quickly and easily, without impacting the existing deployment – this can be done through the Supervisor, or self-created scripts.

* ESG Lab witnessed the resiliency and self-healing of a RING through two failure scenarios common to storage deployments — a server failure and drive failure. The solution remained online and data was accessible with minimal performance implications.

The report concludes in its section “The Bigger Truth”:

“While cloud-based e-mail services may need to service an avalanche of requests with fast response time, a Web 2.0 site may just need to safely store transaction history for the long haul. Scality cost-efficiently delivers on both sets of requirements with a single architecture. A RING made up of the latest and greatest server and SSD technologies can provide for the former, while a RING consisting of affordable servers and dense drives can service the latter need. With this in mind, it comes as no surprise that cloud service providers using Scality are already storing billions of files for millions of customers.

Scality is not the only organization to solve this problem. Providers such as Amazon, Flickr, Google, and YouTube have done so, but they did it on their own at great expense; few organizations have that level of resources. On the other hand, Scality is the first to solve this problem and offer it as a product. ESG believes that organizations offering public or private cloud services as well as anyone struggling to manage the massive growth of unstructured data can leverage the work that Scality has done to deliver object scalability with SAN-like performance. Scality offers the option to deploy the same technology for both Tier 1 storage and long-term retention of unstructured data, at scale beyond 100 TB—while also riding the Intel commodity curve with ongoing performance and price/performance increases over time. It’s a winning combination to meet the ever-growing storage needs of your organization.”

Jérôme Lecat concludes “Enterprise leveraging Big Data, Telecommunication operators serving applications to millions of small businesses, video distributors reaching to millions of homes simultaneously, web 2.0 serving millions of consumers, Cloud service providers and research labs manipulating large data models, seem different use cases, but they all face the same struggle: how to store all these files in a way which is cost effective and scalable, while delivering the performance expected from the users. ESG has verified what Scality’s customers already know: The RING delivers both the IOPS and low latency required by small files, and the throughput required by video and big data applications, with ultimate cost effectiveness thanks to its commodity hardware approach.”

About ESG Lab

Enterprise Strategy Group’s (ESG) Lab provides in-depth testing and analysis of Data Center technology products for companies of all types and sizes. An ESG Lab Validation Report offers objective, third-party verification of a product’s capabilities and provides insight into why – and how – these capabilities matter to customers.

** The lab was performed on 3 to 5 servers equipped with 2 Intel Xeon X5675 (6 cores per CPU), 24GB of RAM, 10GbE Intel Ethernet controllers (X520-DA2) and 6 Intel SSD 710 series 100GB drives. Servers were connected with a Gnodal GS7200 high performance switch. Each server was divided into 12 virtual storage nodes making the test up to 60 storage nodes.

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