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Start small and grow to Petabytes or Exabytes, or shrink capacity as needs change.</li><li>Standards-Based.&nbsp;Manage data through an OpenStack Swift compatible REST API and Java library.</li><li>Simple.&nbsp;Oracle Cloud Infrastructure Storage Software Appliance provides a no-cost, integrated solution for easy file-based access to object and archive storage.</li></ul>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">&nbsp;</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; font-weight: bold;\">Oracle Storage Cloud Service Offerings</span>\r\n<span style=\"color: rgb(0, 0, 0); font-family: Verdana, sans-serif; font-size: 12px; \">Oracle offers several storage tiers that can lower your total storage costs by striking a balance between access time and price points. A common interface makes storing data on the most cost effective tier simple.</span>\r\n\r\n<span style=\"font-weight: bold;\">Simplify Datacenter Operations</span>\r\n<ul><li>Scale with No New Hardware. Eliminates new capital expenditures, opens up data center space and reduces power and cooling requirements.</li><li>Elastic Storage. Shared infrastructure allows for infinite scalability. Eliminates forecasting and long procurement cycles.</li><li>Pay as You Go and Subscription Models. Purchase capacity with no commitment or reduce costs with longer-term agreements.</li><li>Simple to Manage. Industry standard OpenStack and RESTful APIs streamline management integration, freeing resources to accelerate other cloud projects.</li></ul>\r\n<span style=\"font-weight: bold;\">Data Security</span>\r\n<ul><li>Data at Rest. Optional client data encryption combined with optional encryption at the Oracle data center provides multi-level data security. Oracle Cloud Infrastructure Storage Software Appliance and Java SDK provide encryption at the customer site.</li><li>Data in Transit. SSL encrypts all data in transit.</li><li>Role-Based Access Control. Control which users have admin, read and write privileges at the container level.</li><li>Enterprise Data Centers. World class enterprise data center operations.</li></ul>\r\n<span style=\"font-weight: bold;\">Easy Access</span>\r\n<ul><li>Backup and Archive Application Integration. Integration with top backup and archive applications eases deployment with minimal disruption.</li><li>Oracle Cloud Infrastructure Storage Software Appliance. An easy on-ramp to Oracle’s storage cloud providing a POSIX compliant NFS interface. Serves as a NAS gateway to the cloud.</li><li>Standards Based Developer Tooling. Open Stack Swift based RestAPI, Java Applications (File Transfer Manager and Java API), Shell scripting (Upload CLI).</li><li>Robust Connectivity Options. Simple connectivity through the public internet and FastConnect Classic for the most demanding workloads.</li></ul>\r\n<span style=\"font-weight: bold;\">Robust Architecture</span>\r\n<ul><li>World-Class Data Durability. 11 9s data durability by maintaining multiple copies of each object on different devices. Periodic data integrity checks with self healing.</li><li>Geo-Replication. Automated replication of data to a geographically distant data center.</li><li>Privacy Aware. Stored data is never moved out of designated geographic regions.</li></ul>","shortDescription":"Enterprise-proven object storage and archive services for cloud-based data storage, sharing, and protection. 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They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"characteristics":[],"concurentProducts":[],"jobRoles":[],"organizationalFeatures":[],"complementaryCategories":[],"solutions":[],"materials":[],"useCases":[],"best_practices":[],"values":[],"implementations":[]}],"countries":[],"startDate":"0000-00-00","endDate":"2018-05-03","dealDate":"0000-00-00","price":0,"status":"finished","statusLabel":"Finished","isImplementation":true,"isAgreement":false,"confirmed":1,"implementationDetails":{"businessObjectives":{"id":14,"title":"Business objectives","translationKey":"businessObjectives","options":[{"id":4,"title":"Reduce Costs"},{"id":6,"title":"Ensure Security and Business Continuity"}]},"businessProcesses":{"id":11,"title":"Business process","translationKey":"businessProcesses","options":[{"id":175,"title":"Aging IT infrastructure"},{"id":342,"title":"Total high cost of ownership of IT infrastructure (TCO)"}]}},"categories":[{"id":7,"title":"Storage - General-Purpose Disk Arrays","alias":"storage-general-purpose-disk-arrays","description":" General-purpose disk arrays refer to disk storage systems that work together with specialized array controllers to achieve high data transfer. They are designed to fulfill the requirement of a diverse set of workloads such as databases, virtual desktop infrastructure, and virtual networks. The market size in the study represents the revenue generated through various deployment modes such as NAS, SAN, and DAS. Some of the technologies used in the general-purpose disk arrays market include PATA, SATA, and SCSI. The application areas of general-purpose disk arrays include BFSI, IT, government, education &amp; research, healthcare, and manufacturing.\r\nGeneral-Purpose Disk Arrays market in BFSI accounts for the largest revenue. IT industry and governments are investing heavily in the general-purpose disk arrays, as a huge amount of voluminous data is getting generated which requires high storage capacity to store the classified data for analytics purpose and consumer insights. General-Purpose Disk Arrays market in healthcare is expected to show robust growth during the forecast period, as hospitals are adopting the latest technology with huge storage spaces in an attempt to track the patient history for providing better healthcare facilities.\r\nThe global general-purpose disk arrays market is fragmented owing to the presence of a large number of local and regional players, which intensifies the degree of rivalry. The market is growing at a notable pace, which leads to high intensity of rivalry. Key market players such as Dell EMC, HPE, and IBM Corporation seek to gain market share through continuous innovations in storage technology. Some of the other key players operating in a market are Hitachi, Seagate Technologies, NetApp, Promise Technologies, Quantum Corporation, Oracle Corporation, Fujitsu, DataDirect Networks, and Infortrend Technology Inc. Key competitors are specifically focusing on Asia-Pacific and Middle-East &amp; Africa regions, as they show strong tendency to adopt the general-purpose disk arrays in coming years.","materialsDescription":"<span style=\"font-weight: bold;\">What are the characteristics of storage?</span>\r\nStorage technologies at all levels of the storage hierarchy can be differentiated by evaluating certain core characteristics as well as measuring characteristics specific to a particular implementation. These core characteristics are volatility, mutability, accessibility, and addressability. For any particular implementation of any storage technology, the characteristics worth measuring are capacity and performance.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Volatility</span></span>\r\nNon-volatile memory retains the stored information even if not constantly supplied with electric power. It is suitable for long-term storage of information. Volatile memory requires constant power to maintain the stored information. The fastest memory technologies are volatile ones, although that is not a universal rule. Since the primary storage is required to be very fast, it predominantly uses volatile memory.\r\nDynamic random-access memory is a form of volatile memory that also requires the stored information to be periodically reread and rewritten, or refreshed, otherwise it would vanish. Static random-access memory is a form of volatile memory similar to DRAM with the exception that it never needs to be refreshed as long as power is applied; it loses its content when the power supply is lost.\r\nAn uninterruptible power supply (UPS) can be used to give a computer a brief window of time to move information from primary volatile storage into non-volatile storage before the batteries are exhausted. Some systems, for example EMC Symmetrix, have integrated batteries that maintain volatile storage for several minutes.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Mutability</span></span>\r\n<span style=\"font-weight: bold;\">Read/write storage or mutable storage</span>\r\n<div class=\"indent\">Allows information to be overwritten at any time. A computer without some amount of read/write storage for primary storage purposes would be useless for many tasks. Modern computers typically use read/write storage also for secondary storage.</div>\r\n<span style=\"font-weight: bold;\">Slow write, fast read storage</span>\r\n<div class=\"indent\">Read/write storage which allows information to be overwritten multiple times, but with the write operation being much slower than the read operation. Examples include CD-RW and SSD.</div>\r\n<span style=\"font-weight: bold;\">Write once storage</span>\r\n<div class=\"indent\">Write Once Read Many (WORM) allows the information to be written only once at some point after manufacture. Examples include semiconductor programmable read-only memory and CD-R.</div>\r\n<span style=\"font-weight: bold;\">Read only storage</span>\r\n<div class=\"indent\">Retains the information stored at the time of manufacture. Examples include mask ROM ICs and CD-ROM.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Accessibility</span></span>\r\n<span style=\"font-weight: bold;\">Random access</span>\r\n<div class=\"indent\">Any location in storage can be accessed at any moment in approximately the same amount of time. Such characteristic is well suited for primary and secondary storage. Most semiconductor memories and disk drives provide random access.</div>\r\n<span style=\"font-weight: bold;\">Sequential access</span>\r\n<div class=\"indent\">The accessing of pieces of information will be in a serial order, one after the other; therefore the time to access a particular piece of information depends upon which piece of information was last accessed. Such characteristic is typical of off-line storage.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Addressability</span></span>\r\n<span style=\"font-weight: bold;\">Location-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information in storage is selected with its numerical memory address. In modern computers, location-addressable storage usually limits to primary storage, accessed internally by computer programs, since location-addressability is very efficient, but burdensome for humans.</div>\r\n<span style=\"font-weight: bold;\">File addressable</span>\r\n<div class=\"indent\">Information is divided into files of variable length, and a particular file is selected with human-readable directory and file names. The underlying device is still location-addressable, but the operating system of a computer provides the file system abstraction to make the operation more understandable. In modern computers, secondary, tertiary and off-line storage use file systems.</div>\r\n<span style=\"font-weight: bold;\">Content-addressable</span>\r\n<div class=\"indent\">Each individually accessible unit of information is selected based on the basis of (part of) the contents stored there. Content-addressable storage can be implemented using software (computer program) or hardware (computer device), with hardware being faster but more expensive option. Hardware content addressable memory is often used in a computer's CPU cache.</div>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Capacity</span></span>\r\n<span style=\"font-weight: bold;\">Raw capacity</span>\r\n<div class=\"indent\">The total amount of stored information that a storage device or medium can hold. It is expressed as a quantity of bits or bytes (e.g. 10.4 megabytes).</div>\r\n<span style=\"font-weight: bold;\">Memory storage density</span>\r\n<div class=\"indent\">The compactness of stored information. It is the storage capacity of a medium divided with a unit of length, area or volume (e.g. 1.2 megabytes per square inch).</div>\r\n\r\n<span style=\"font-weight: bold;\"><span style=\"font-style: italic;\">Performance</span></span>\r\n<span style=\"font-weight: bold;\">Latency</span>\r\n<div class=\"indent\">The time it takes to access a particular location in storage. The relevant unit of measurement is typically nanosecond for primary storage, millisecond for secondary storage, and second for tertiary storage. It may make sense to separate read latency and write latency (especially for non-volatile memory[8]) and in case of sequential access storage, minimum, maximum and average latency.</div>\r\n<span style=\"font-weight: bold;\">Throughput</span>\r\n<div class=\"indent\">The rate at which information can be read from or written to the storage. In computer data storage, throughput is usually expressed in terms of megabytes per second (MB/s), though bit rate may also be used. As with latency, read rate and write rate may need to be differentiated. Also accessing media sequentially, as opposed to randomly, typically yields maximum throughput.</div>\r\n<span style=\"font-weight: bold;\">Granularity</span>\r\n<div class=\"indent\">The size of the largest &quot;chunk&quot; of data that can be efficiently accessed as a single unit, e.g. without introducing additional latency.</div>\r\n<span style=\"font-weight: bold;\">Reliability</span>\r\n<div class=\"indent\">The probability of spontaneous bit value change under various conditions, or overall failure rate.</div>\r\nUtilities such as hdparm and sar can be used to measure IO performance in Linux.\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Energy use</span></span>\r\n<ul><li>Storage devices that reduce fan usage, automatically shut-down during inactivity, and low power hard drives can reduce energy consumption by 90 percent.</li><li>2.5-inch hard disk drives often consume less power than larger ones. Low capacity solid-state drives have no moving parts and consume less power than hard disks. Also, memory may use more power than hard disks. Large caches, which are used to avoid hitting the memory wall, may also consume a large amount of power.</li></ul>\r\n\r\n<span style=\"font-style: italic;\"><span style=\"font-weight: bold;\">Security</span></span>\r\nFull disk encryption, volume and virtual disk encryption, andor file/folder encryption is readily available for most storage devices.\r\nHardware memory encryption is available in Intel Architecture, supporting Total Memory Encryption (TME) and page granular memory encryption with multiple keys (MKTME) and in SPARC M7 generation since October 2015.","iconURL":"https://old.roi4cio.com/fileadmin/user_upload/icon_Storage_General_Purpose_Disk_Arrays.png"}],"additionalInfo":{"budgetNotExceeded":"","functionallyTaskAssignment":"","projectWasPut":"","price":0,"source":{"url":"https://www.oracle.com/customers/pinnacle-1-storage-classic.html","title":"Web-site of vendor"}},"comments":[],"referencesCount":0}},"aliases":{"1":["oracle-cloud-infrastructure-object-storage-classic-for-security-company"]},"links":{"first":"http://apis.roi4cio.com/api/implementations?page=1","last":"http://apis.roi4cio.com/api/implementations?page=1","prev":null,"next":null},"meta":{"current_page":1,"from":1,"last_page":1,"path":"http://apis.roi4cio.com/api/implementations","per_page":20,"to":1,"total":1},"loading":false,"error":null},"agreements":{"agreementById":{},"ids":{},"links":{},"meta":{},"loading":false,"error":null},"comparison":{"loading":false,"error":false,"templatesById":{},"comparisonByTemplateId":{},"products":[],"selectedTemplateId":null},"presentation":{"type":null,"company":{},"products":[],"partners":[],"formData":{},"dataLoading":false,"dataError":false,"loading":false,"error":false},"catalogsGlobal":{"subMenuItemTitle":""}}