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storage systems

Results 51 - 75 of 199Sort Results By: Published Date | Title | Company Name
Published By: Dell EMC     Published Date: May 15, 2015
This IDC study provides detailed insights into the rapidly growing market for enterprise storage systems that leverage flash storage media. This study segments this market into the following two technology segments: AFAs and HFAs. Insights into these two market segments are provided historically. Market shares and IDC analysis are provided for each of the top vendors in these two segments along with detailed market-level analysis.
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emc, storage all-flash, architectures, workload, data center, scale, storage, hybrid
    
Dell EMC
Published By: Cohesity     Published Date: Apr 24, 2018
As organizational needs change and workloads become increasingly distributed, a key realization is emerging: traditional approaches to backup and recovery may no longer be sufficient for many organizations. These companies may have discovered that their existing tools are not keeping pace with other advancements in their computing environments, such as scale-out storage systems and hyperconverged systems, which seek to reduce data center complexity and help manage surging storage costs.
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Cohesity
Published By: Cohesity     Published Date: Oct 02, 2018
The University of California, Santa Barbara (UCSB) is a public research university and one of the 10 campuses of the University of California system. Its secondary storage was a combination of multiple point solutions. The UI/setup and maintenance was complex. Maintaining multiple licensing and maintenance agreements negatively impacted the administrative cost. The skyrocketing cost for additional backup capacity limited the team’s ability to expand their backup protection to many critical systems. With Cohesity's unified hyperconverged secondary storage platform, the IT team provided a single solution for all 13 departments to consolidate their backups on one platform, and scale-out as required. Read the case study and get details on how UCSB consolidated everything from backup to recovery, analytics to monitoring and alerting.
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case, study, ucsb, consolidates, data, protection, cohesity, hyperconverged
    
Cohesity
Published By: Amazon Web Services     Published Date: Oct 09, 2017
Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
Published By: Pure Storage     Published Date: Jul 18, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
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external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
    
Pure Storage
Published By: Pure Storage     Published Date: Jul 26, 2017
OTS' experiences with all-flash technology mirror what many customers have experienced over the past several years. Hesitatingly optimistic, OTS deployed its first AFA in a limited environment to prove the system out, and when it performed and/or exceeded the company's expectations, it quickly started moving more workloads to it over time. Like OTS, many customers do not immediately retire their legacy storage, but in moving the more demanding workloads off of their existing environments, they provide better application performance both for those applications on the AFA and for those that stay on the legacy storage. And like OTS, the majority of AFA customers have in the past year in particular come to the conclusion that all-flash technology is the future of primary storage for performance, reliability, ease of management and expansion, and economic (as measured by total cost of ownership) reasons.
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external storage systems, flash arrays, scale-up, scale-out, managing it infrastructure, data center, idc, market intelligence
    
Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: NetApp     Published Date: Feb 19, 2015
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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NetApp
Published By: Pure Storage     Published Date: Mar 15, 2018
The all-flash array (AFA) market has undergone significant maturation over the past two years. A high percentage of customers have already committed to an "all flash for primary storage" strategy, and every customer interviewed for this study was among those. In 2017, AFAs will drive over 80% of all primary storage revenue. All of the established storage vendors have entered this space, and there are several start-ups with over $100 million in revenue. With this level of market maturation, multiple segments have developed within the primary flash array space. There are systems targeted for dedicated application deployment, there are systems specifically for web-scale applications, and there are systems intended for dense mixed workload consolidation. These latter systems are driving most of the AFA revenue, and they aspire to become the primary storage platforms of record for enterprises of all sizes. This study evaluates the suitability of 10 vendors' AFA platforms for dense mixed ent
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Pure Storage
Published By: Oracle     Published Date: Jan 28, 2019
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure. Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.
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Oracle
Published By: HP     Published Date: Feb 02, 2015
In this study we compared the attributes of storage efficiency and ease of managing and monitoring an EMC VNX unified array versus an HP 3PAR StoreServ unified array. The approach we used was to setup two arrays side-by-side and recorded the actual complexity of managing each array for file and block access, per the documents and guides provided for each product. We also went through the exercise of sizing various arrays via publicly available configuration guides to see what the expected storage density efficiency would be for some typically configured systems. Our conclusion was nothing short of astonishment. Read this whitepaper to learn more.
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HP
Published By: NetApp     Published Date: Sep 22, 2014
NetApp Flash Pool is a storage cache option within the NetApp Virtual Storage Tier product family, available for NetApp FAS storage systems. A Flash Pool configures solid state drives (SSDs) and hard disk drives (HDDs) into a single storage pool, known as an “aggregate” in NetApp parlance, with the SSDs providing a fast response time cache for volumes that are provisioned on the Flash Pool aggregate. In this lab evaluation, NetApp commissioned Demartek to evaluate the effectiveness of Flash Pool with different types and numbers of hard disk drives using an online transaction processing (OLTP) database workload, and to evaluate the performance of Flash Pool in a clustered Data ONTAP environment during a cluster storage node failover scenario. In the report, you’ll dis cover how Demartek test engineers documented a 283% gain in IOPS and a reduction in latency by a factor of 66x after incorporating NetApp Flash Pool technology.
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flash pool, fas storage systems, ssd, online transaction processing, cluster storage
    
NetApp
Published By: HP     Published Date: Feb 11, 2015
In this study we compared the attributes of storage efficiency and ease of managing and monitoring an EMC VNX unified array versus an HP 3PAR StoreServ unified array. The approach we used was to setup two arrays side-by-side and recorded the actual complexity of managing each array for file and block access, per the documents and guides provided for each product. We also went through the exercise of sizing various arrays via publicly available configuration guides to see what the expected storage density efficiency would be for some typically configured systems. Our conclusion was nothing short of astonishment. Read this whitepaper to learn more.
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HP
Published By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Currently, this virtualization juggernaut shows no sign of slowing. As businesses recognize the potential for increased reliability and scalability offered by virtual technology, they are ramping up their investments in data center modernization and upgrading. In fact, 33 percent of the respondents to a recent ESG survey on cloud usage said that making greater use of server virtualization was one of their top five spending priorities for the next 12 to 18 months.
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Druva
Published By: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Protecting these virtualized environments, however, and the ever-growing amount of structured and unstructured data being created, still requires a complex, on-prem secondary storage model that imposes heavy administrative overhead and infrastructure costs. The increasing pressure on IT teams to maintain business continuity and information governance are changing how businesses view infrastructure resiliency and long-term data retention—they are consequently looking to new solutions to ensure immediate availability and complete protection of the
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Druva
Published By: IBM APAC     Published Date: Mar 19, 2018
Unstructured data has exploded in volume over the past decade. Unstructured data, media files and other data can be created just about anywhere on the planet using almost any smart device available today. As the amount of unstructured data grows exponentially, customers using this data need to be able to take advantage of the right storage solutions to support all of their file and object data requirements. IBM® recently added a new storage system to their Spectrum product family, IBM Spectrum Network Attached Storage (NAS). IBM Spectrum NAS adds another software-defined file storage system to IBM’s current unstructured data storage solutions, IBM Spectrum Scale™ and IBM Cloud Object Storage (COS). Below, we will discuss the three systems and supply some guidance on when and where to use each of them.
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IBM APAC
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
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it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data
    
Red Hat, Inc.
Published By: Netapp     Published Date: Apr 02, 2013
This solution guide provides guidelines and best practices for architecting, deploying, and managingVMware View virtual desktop infrastructure (VDI) solutions on NetApp storage systems.
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vmware, netapp, business continuity, virtualization, virtual desktop storage, storage, vdi, server
    
Netapp
Published By: Netapp     Published Date: Apr 02, 2013
This document describes a solution on a NetApp® shared storage infrastructure that provides system administrators with the ability to quickly copy, clone, and manage SAP® systems.
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sap, netapp, shared storage, storage, virtualization, landscape, virtualization management
    
Netapp
Published By: NetApp     Published Date: Dec 15, 2014
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetApp’s systems, software, and services offer a number of advantages as a foundation for better operational results.
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database, transaction processing, analytics, enterprise solution architects, storage capabilities
    
NetApp
Published By: HP     Published Date: Nov 05, 2014
In this ESG white paper, the capabilities and common characteristics of flash implementations are categorized as “bronze”-, “silver”-, and “gold”-type approaches, depending on the degree to which they enable fully featured storage systems. It evaluates how HP’s storage delivers the basics and follows with a series of flash-specific optimizations and advances that we’ll call “gold standard” flash capabilities, after which it hints at HP’s vision of the future for their flash storage architecture. Throughout the paper, the importance of both IT architecture and business implications is emphasized. Download this whitepaper now.
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data center, change management, data management, storage space, storage criteria, storeserv, tier-1, market report
    
HP
Published By: NetApp     Published Date: Jun 09, 2014
This brief white paper delves into a Q&A with Eric Sheppard, research director of IDC’s Storage Software program, on integrated systems and whether you should buy compute, network, and storage resources together.
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netapp, cloud computing, storage, private cloud array, best for company, private cloud, it management, data center
    
NetApp
Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: NetApp     Published Date: Jun 16, 2014
There are many situations where having the option to scale the same enterprise storage out, up or both is a better way forward than continuing to rely on the traditional scale up model. In this report the Evaluator Group compares the approaches and points out the significant operational and economic advantages of the new scale out paradigms.
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netapp, clustered storage, storage systems, evaluating systems, modular storage, it management, data center
    
NetApp
Published By: NetApp     Published Date: Jun 16, 2014
In this IDC Analyst Connection, NetApp posed a number of questions to Ashish Nadkarni, research director of IDC's Storage Systems research practice, on clustered storage and why it matters; how firms are using it; and key considerations when evaulating systems.
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netapp, clustered storage, idc, storage systems, evaluating systems, it management, data center
    
NetApp
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