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Trusted Business Advisors, Expert Technology Analysts

Items Tagged: Low+latency

Profiles/Reports

Voltaire Announces iSCSI on Steroids - Product Profile

InfiniBand is becoming the unquestioned interconnect for high performance computing and clustered databases. It will be used extensively in the datacenters of tomorrow. To complete the picture, InfiniBand needs connectivity to shared storage. While several protocols are viable for carrying block storage traffic over the InfiniBand fabric, Voltaire’s choice of iSCSI RDMA has very interesting implications.

 

Publish date: 06/02/03
news

AMI Launches StorTrends 3500i SSD Array

American Megatrends Inc. (AMI) today announced the release of its StorTrends 3500i SSD Array, the first and only storage area network (SAN) to combine solid state drive (SSD) caching and SSD tiering into a single storage appliance.

  • Premiered: 01/28/14
  • Author: Taneja Group
  • Published: HPC Wire
Topic(s): TBA AMI TBA American Megatrends TBA StorTrends TBA StorTrends 3500i TBA SSD TBA Storage TBA SAN TBA WAN Optimization TBA Auto Tiering TBA Low latency
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Leading Analyst Firm Recognizes the StorTrends 3500i Array as One of the Most Comprehensive...

American Megatrends Inc. (AMI) today announced that The Taneja Group has recognized the AMI StorTrends 3500i Hybrid Storage SSD Array as “one of the most comprehensive, versatile and cost effective solid state systems on the market today.” In the Taneja Group’s December 2013 Technology Validation report, ‘StorTrends 3500i Solid State Performance for Everyday Business’ - the research firm recounts results of its hands-on lab evaluation which validates the system’s high performance in real-world application environments.

  • Premiered: 01/30/14
  • Author: Taneja Group
  • Published: PR.com
Topic(s): TBA AMI TBA American Megatrends TBA StorTrends TBA StorTrends 3500i TBA SSD TBA Storage TBA WAN Optimization TBA SAN TBA Auto Tiering TBA Low latency
Profiles/Reports

AMI StorTrends 3500i: Solid State Performance for Everyday Business (TVS)

Solid state storage technology – typically storage devices based on NAND flash – have opened up new horizons for storage systems over the past couple of years.  The storage market has seemingly been flooded by new products incorporating solid-state storage somewhere within their product line while making promises of break through levels of storage performance.  Vendors have found there are some challenges when it comes to putting solid-state technology in the storage system.   Many storage products entering the market in turn have a few wrinkles beneath the surface.

Just recently, AMI has introduced yet another SAN storage appliance. The StorTrends 3500i integrates a comprehensive solid-state storage layer into the StorTrends iTX architecture.  The 3500i brings with it the ability to use Solid State Drives (SSDs) in multiple roles – as a full flash array or hybrid storage array. As a hybrid storage array, the SSDs can be utilized as cache, tier, or a combination of the two. Along with SSD caching and tiering, the StorTrends 3500i incorporates these performance features with the field proven storage architecture validated by more than 1,100 global installs. The net result is a high performance and cost effective storage array.  In fact, the 3500i array looks poised to be one of the most comprehensively equipped storage system options for the mid-range enterprise storage customer looking for solid state acceleration for their workloads.

With this most recent storage system launch, StorTrends once again caught our attention, and we approached AMI with the idea of a hands-on lab exercise that we call a Taneja Group Technology Validation.  Our goal with this testing?  To see whether StorTrends truly preserved all of their storage functionality with the integration of SSD into the 3500i storage system, and whether the 3500i was up to the task of harnessing the blazing fast storage performance of SSD.

Publish date: 11/30/13
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Atlantis ILIO moves into hyper-converged storage

Atlantis Computing Inc. aims to move beyond optimizing virtual desktop infrastructure storage with its latest software, which uses inline memory to deliver the startup's version of software-defined storage.

  • Premiered: 02/28/14
  • Author: Taneja Group
  • Published: Tech Target: Search Virtual Storage
Topic(s): TBA Atlantis Computing TBA Virtualization TBA Storage TBA Infrastructure TBA SDS TBA software-defined storage TBA ILIO TBA NAS TBA SAN TBA DAS TBA RAM TBA Flash TBA SSD TBA VDI TBA Low latency TBA VSAN TBA VMWare TBA CloudStack TBA OpenStack TBA IBM TBA SmartCloud TBA BMC TBA Cloud Lifecycle Manager
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What's the Cost to Your Business of Not Using Flash Storage?

Flash delivers speedy, versatile storage that enables game-changing application performance.

  • Premiered: 10/20/14
  • Author: Taneja Group
  • Published: BizTech Magazine
Topic(s): TBA Arun Taneja TBA Flash TBA Storage TBA SSD TBA HDD TBA Performance TBA NetApp TBA High Performance TBA Low latency TBA Nutanix TBA Virtualization TBA Converged Infrastructure TBA convergence TBA hybrid flash TBA Hybrid Array TBA EMC TBA XtremeIO TBA Deduplication TBA VDI TBA Virtual Desktop Infrastructure TBA PCIe TBA Big Data TBA Virtual Server
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Breaking Down VMware's VSAN 6

How does the new, all-flash version compare with VSAN 5.5?

  • Premiered: 02/03/15
  • Author: Taneja Group
  • Published: Virtualization Review
Topic(s): TBA All Flash TBA Flash TBA SSD TBA VSAN TBA VMWare TBA VMware VSAN TBA SDS TBA software-defined TBA software defined TBA Software Defined Storage TBA Hypervisor TBA Virtualization TBA Low latency TBA Capacity TBA VM TBA Virtual Machine TBA VMFS TBA Storage TBA Hybrid TBA Hybrid Array TBA hybrid flash TBA vSphere
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Hyper-converged vendors focus on data protection

Hyper-convergence has impacted primary storage, but Arun Taneja says hyper-converged vendors are bringing the concept to data protection.

  • Premiered: 09/03/15
  • Author: Arun Taneja
  • Published: TechTarget: Search Data Backup
Topic(s): TBA hyper-converge TBA hyper-converged TBA hyper-convergence TBA hyperconverged TBA Primary Storage TBA Arun Taneja TBA Storage TBA Data protection TBA Data Deduplication TBA Deduplication TBA Compression TBA Continuous Data Protection TBA synthetic backup TBA Backup TBA copy data management TBA Snapshots TBA Snapshot TBA WANO TBA WAN Optimization TBA WAN TBA replication TBA flat backup TBA secondary storage TBA Gridstore TBA Maxta TBA Nimboxx TBA Nutanix TBA Scale TBA Scale Computing TBA SimpliVity
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Plexistor Launches to Revolutionize Compute Paradigm with Software-Defined Memory

Startup Plexistor announced today that it will soon be unveiling a Software-Defined Memory (SDM) platform for next-generation data centers, bringing convergence of memory and storage technologies together, enabling high capacity persistent storage and near-memory speed by providing a direct data path from the application to the memory storage device.

  • Premiered: 12/15/15
  • Author: Taneja Group
  • Published: PR Newswire
Topic(s): TBA Arun Taneja TBA Storage TBA Plexistor TBA Software-Defined Memory TBA software-defined TBA SDM TBA Data Center TBA convergence TBA memory convergence TBA Storage TBA high capacity TBA application performance TBA Performance TBA In-Memory TBA real-time analytics TBA Low latency TBA API TBA SSD TBA Primary Storage TBA converged TBA NoSQL TBA Big Data TBA analytics TBA big data analytics
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Plexistor debuts with software to converge memory and storage

Plexistor claims its 'software-defined memory' platform lets in-memory databases and traditional enterprise workloads run without dedicated compute-storage clusters.

  • Premiered: 01/28/16
  • Author: Taneja Group
  • Published: TechTarget: Search Solid State Storage
Topic(s): TBA Plexistor TBA software-defined TBA Software-Defined Memory TBA SDM TBA In-Memory TBA cluster TBA Compute TBA Storage TBA nonvolatile memory TBA Primary Storage TBA high capacity TBA SATA TBA NVMe TBA Flash TBA scalability TBA scalable TBA Low latency TBA Performance TBA MongoDB TBA Kafka TBA Cassandra TBA NVDIMM TBA Arun Taneja TBA Data Center TBA datacenter management TBA DCM TBA tiering TBA Virtualization
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Hybrid Cloud Storage

Hybrid cloud storage orchestrates storage processing between on-premise and cloud resources, creating a single virtual storage infrastructure with centralized management. Software-defined storage (SDS) enables hybrid cloud storage vendors to decouple processing from storage assets.

  • Premiered: 04/06/16
  • Author: Christine Taylor
  • Published: InfoStor
Topic(s): TBA Hybrid Cloud TBA Hybrid Cloud Storage TBA HCS TBA Cloud TBA Storage TBA software-defined TBA software-defined storage TBA SDS TBA Public Cloud TBA IOPS TBA Low latency TBA compliance TBA scalability TBA Virtualization TBA DR TBA Disaster Recovery TBA Distributed Storage TBA ROBO TBA big data analytics TBA Big Data TBA analytics TBA hybrid infrastructure TBA cloud bursting TBA DP TBA Data protection TBA Snapshot TBA Snapshots TBA replication TBA Microsoft TBA Microsoft Azure
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Business Have Numerous Digital Storage Options as Data Demands Surge

For organizations drowning in data, storage help is on the way in the form of hyperconverged, software-defined, cloud and all-flash solutions.

  • Premiered: 07/19/16
  • Author: Taneja Group
  • Published: BizTech Magazine
Topic(s): TBA Mike Matchett TBA Storage TBA software-defined TBA Cloud TBA all-flash TBA All Flash TBA Big Data TBA big data analytics TBA IoT TBA Internet of Things TBA storage area networks TBA SAN TBA Capacity TBA LUN TBA Virtualization TBA Server Virtualization TBA software-defined storage TBA SDS TBA Cloud Storage TBA hyperconvergence TBA hyperconverged TBA VMWare TBA Nutanix TBA Hypervisor TBA Data protection TBA Block Storage TBA all flash array TBA AFA TBA Low latency TBA IBM
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Big Data Storage Solutions: Options Abound

Hadoop, Spark and other big data analysis tools all have one thing in common: they need some form of big data storage to hold the vast quantities of data that they crunch through. The good news is that big data storage options are proliferating.

  • Premiered: 08/09/16
  • Author: Taneja Group
  • Published: InfoStor
Topic(s): TBA Hadoop TBA Spark TBA Big Data TBA big data storage TBA DAS TBA Compute TBA cluster TBA flexibility TBA Mike Matchett TBA Hadoop Distributed File System TBA HDFS TBA NFS TBA MapReduce TBA API TBA SAN TBA NAS TBA TCO TBA DDN TBA EMC TBA EMC Isilon TBA Isilon TBA SDS TBA software-defined TBA software-defined storage TBA ViPR TBA DriveScale TBA hScaler TBA Cisco TBA HPE TBA IBM
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SimpliVity launches all-flash appliance models for hyper-convergence

Far from the first to do so, SimpliVity adds all-flash hyper-converged appliances, but waited until price levels dropped to avoid investing 'too early into the buzz.'

  • Premiered: 08/23/16
  • Author: Taneja Group
  • Published: TechTarget: Search Converged Infrastructure
Topic(s): TBA SimpliVity TBA all-flash TBA All Flash TBA hyper-converged TBA hyper-converge TBA hyper-convergence TBA AFA TBA Disaster Recovery TBA DR TBA Backup TBA OmniStack TBA Cisco TBA Unified Computing System TBA UCS TBA Compute TBA Storage TBA Virtualization TBA Lenovo TBA SSD TBA Flash TBA Data Deduplication TBA Deduplication TBA Nutanix TBA VxRack TBA VxRail TBA Pivot3 TBA vSTAC TBA HCI TBA hyperconverged infrastructure TBA HyperGrid
Profiles/Reports

IBM Cloud Object Storage Provides the Scale and Integration Needed for Modern Genomics Infra.

For hospitals and medical research institutes, the ability to interpret genomics data and identify relevant therapies is key to provide better patient care through personalized medicine. Many such organizations are racing forward, analyzing patients’ genomic profiles to match more clinically actionable treatments using artificial intelligence (AI).

These rapid advancements in genomic research and personalized medicine are very exciting, but they are creating enormous data challenges for healthcare and life sciences organizations. High-throughput DNA sequencing machines can now process a human genome in a matter of hours at a cost approaching one thousand dollars. This is a huge drop from a cost of ten million dollars ten years ago and means the decline in genome sequencing cost has outpaced Moore’s Law (see chart). The result is an explosion in genomic data – driving the need for solutions that can affordably and securely store, access, share, analyze and archive enormous amounts of data in a timely manner.

Challenges include moving large volumes of genomic data from cost-effective archival storage to low latency storage for analysis to reduce the time needed to analyze genetic data. Currently, it takes days to do a comprehensive DNA sequence analysis.

Sharing and interpreting vast amounts of unstructured data to find relationships between a patient’s genetic characteristics and potential therapies adds another layer of complexity. Determining connections requires evaluating data across numerous unstructured data sources, such as genomic sequencing data, medical articles, drug information and clinical trial data from multiple sources.

Unfortunately, the traditional file storage within most medical organizations doesn’t meet the needs of modern genomics. These systems can’t accommodate massive amounts of unstructured data and they don’t support both data archival and high-performance compute. They also don’t facilitate broad collaboration. Today, organizations require a new approach to genomics storage, one that enables:

  • Scalable and convenient cloud storage to accommodate rapid unstructured data growth
  • Seamless integration between affordable unstructured data storage, low latency storage, high performance compute, big data analytics and a cognitive healthcare platform to quickly analyze and find relationships among complex life science data types
  • A multi-tenant hybrid cloud to share and collaborate on sensitive patient data and findings
  • Privacy and protection to support regulatory compliance

Publish date: 03/22/17
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Accelerate Apache Spark to boost big data platforms

Big data platforms like Apache Spark process massive volumes of data faster than other options. As data volumes grow, enterprises seek ways to speed up Spark.

  • Premiered: 04/21/17
  • Author: Mike Matchett
  • Published: TechTarget: Search IT Operations
Topic(s): TBA Big Data TBA big data analytics TBA Apache TBA Apache Spark TBA Spark TBA graph database TBA SQL TBA Spark Summit TBA In-Memory TBA scale-out TBA Acceleration TBA Databricks TBA real-time streaming TBA MapR TBA Alluxio TBA Splice Machine TBA API TBA GPU TBA NVMe TBA NVMe Flash TBA Flash TBA SSD TBA Apache Flink TBA Oracle TBA DriveScale TBA iguaz.io TBA Low latency
Profiles/Reports

The Easy Cloud For Complete File Data Protection: Igneous Systems Backs-up AND Archives All Your NAS

When we look at all the dollars being spent on endless NAS capacity growth, and the increasingly complex (and mostly unrealistic) file protection schemes that go along, we find most enterprises aren’t happy with their status quo. And while cloud storage seems so attractive theoretically, making big changes to a stable NAS storage architecture can be both costly and present enough risk to keep many stuck endlessly growing their primary filers. Cloud gateways can help offload capacity, yet they add operational complexity and are ultimately only half-way solutions.

What file-dependent enterprises really need is a true hybrid solution that backs on-premise primary NAS with hybrid cloud secondary storage to provide a secure, reliable, elastic, scalable, and – above all – a simply seamless solution. Ideally we would want a drop-in solution that was remotely managed, paid for by subscription and highly performant – all while automatically backing-up (and/or archiving) all existing primary NAS storage. In other words, enterprises don’t want to rip and replace working primary NAS solutions, but they do want to easily offload and extend them with superior cloud-shaped secondary storage.

When it comes to an enterprise’s cloud adoption journey, we can recommend that “hybrid cloud” storage services be adopted first to address longstanding challenges with NAS file data protection. While many enterprises have reasonable backup solutions for block (and sometimes VM images/disks), reliable data protection for fast growing file is much harder due to trends towards bigger data repositories, faster streaming data, global sharing requirements, and increasingly tighter SLA’s (not to mention shrinking backup windows). Igneous Systems promises to help filer-dependent enterprises keep up with all their file protection challenges with their Igneous Hybrid Storage Cloud that features integrated enterprise file backup and archive.

Igneous Systems’ storage layer integrates several key technologies – highly efficient, scalable, remotely managed object storage; built-in tiering and file movement not just on the back-end to public clouds, but also on the front-end from existing primary NAS arrays; remote management as-a-service to offload IT staff; and all necessary file archive and backup automation.

And Igneous Hybrid Storage Cloud is also a first-class object store with valuable features like built-in global meta-data search. However, here we’ll focus on how Igneous Backup and Igneous Archive services is used to solve gaping holes in traditional approaches to NAS backup and archive.

Download the Solution Profile today!

Publish date: 06/20/17