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Items Tagged: DDN

news / Blog

IBM Takes the Cloud by Storm, Chooses Nirvanix as their Strategic Partner

This week Nirvanix announced that IBM Global Services will be launching its own public cloud storage service based on Nirvanix's Cloud Storage Network (CSN) technology. This is a major coup for Nirvanix, to say the least. IGS plans to make the cloud available to the public for placement and access to archival and backup data and for content collaboration. Targeted industries are healthcare, media and entertainment and financial services. IBM also plans on integrating this cloud storage service with its proprietary compute cloud at the software layer; both offerings will be sold by IBM under the SmartCloud banner.

  • Premiered: 10/18/11
  • Author: Arun Taneja
  • Published: Taneja Group
Topic(s): IBM Nirvanix EMC NetApp HP DDN StorageGRID Atmos WOS
Profiles/Reports

DataDirect Networks

Fast-growing DataDirect Networks provides data infrastructure solutions for companies with extreme storage requirements. Focused on unstructured data markets, DataDirect Networks was founded in 1998 and counts over $100 million in annual revenue. The company has quadrupled its revenues since 2003 and has installed more than 160 petabytes  worldwide.

Publish date: 09/08/08
Profiles/Reports

DataDirect Networks S2A6620: Extreme Storage Heads for the Channel, Targets the Midrange

DDN has introduced S2A6620 for mid-market custoemrs. This Product Profile will detail the challenges of mid-range firms to control intensive storage demands,  the role of the S2A6620 in that cycle, and the  product path for 6620 adopters.

Publish date: 10/16/08
Profiles/Reports

DataDirect Networks (DDN): Incredibly Well Positioned

From computing perspective this decade is looking very different than the previous one. Data centers are in the midst of metamorphosis in almost every dimension. Physical servers running single applications are being replaced with fewer larger physical servers running virtual machines. Networks are already being built with unified 10GbE fabrics, with storage and network traffic riding simultaneously on them. Virtualization principles are being applied at all layers of computing and storage technology. Vendors and IT are paying serious attention to power, cooling and space requirements, perhaps for the first time ever. Storage virtualization is finally a well-understood concept and vendors are feverishly implementing fine-grained virtualization in their products (or rapidly buying those that have them).

Publish date: 05/09/11
news

DataDirect Networks (DDN) Delivers Highest Big Data Performance With SFA10K-X, World's Fastest....

Award-Winning DDN Storage Fusion Architecture (SFA) Technology Embeds Applications and File Systems While Optimizing Bandwidth, IOPS and Capacity Utilization for Cloud and Content

  • Premiered: 09/20/11
  • Author: Taneja Group
  • Published: MarketWire.com
Topic(s): TBA DataDirect TBA DDN TBA File Storage TBA Block Storage
news

DataDirect Networks debuts SFA10K-X, its integrated block and file storage appliance

DataDirect Networks (DDN), an information storage company, unveiled this week Storage Fusion Architecture (SFA) 10K-X, an integrated storage appliance that maximizes application performance while minimizing total cost of ownership for Big Data, cloud, and content-intensive environments.

  • Premiered: 09/23/11
  • Author: Taneja Group
  • Published: Computer Technology Review
Topic(s): TBA Block Storage TBA DDN TBA DataDirect TBA File Storage
news / Blog

DDN Delivers Big Data in Small Packages

DDN’s latest SFA offerings make big data capabilities more accessible and affordable than ever before.

  • Premiered: 03/26/12
  • Author: Jeff Byrne
Topic(s): Big Data DDN
news

DataDirect adds ‘mini’ array for big data

DataDirect Networks (DDN) launched two storage systems for people who want to start small in their approach to “big data.”

  • Premiered: 03/28/12
  • Author: Taneja Group
  • Published: TechTarget: SearchStorage.com
Topic(s): TBA DataDirect TBA DDN TBA Big Data TBA Array
news

General Parallel File System, DataDirect storage powers NCSA’s iForge

With “big data” storage performance requirements that dwarf the needs of most IT shops, the National Center for Supercomputing Applications (NCSA) knew that scale-out file storage was the only realistic option for its Industrial Forge (iForge) high-performance computing (HPC) service.

  • Premiered: 07/09/12
  • Author: Taneja Group
  • Published: TechTarget: SearchStorage.com
Topic(s): TBA Big Data TBA Mike Matchett TBA NCSA TBA iForge TBA DataDirect TBA DDN
news / Blog

DDN and Big Data's Value Chain

DDN was one of the first vendors to realize that big data comes in two parts: high performance/scalability and a complex value chain.

  • Premiered: 08/06/12
  • Author: Taneja Group
Topic(s): DDN DirectMon Big Data
Profiles/Reports

5 Key Questions for Big Data Storage Strategies: And Comprehensive Answers from DDN GRIDScaler

If you are evaluating big data storage solutions for your enterprise or mid-sized company, Taneja Group has identified 5 strategic questions that you should ask your vendors during the evaluation process. In this Technology-in-Depth, we’ll review these five questions and look to one specific solution in the market – DataDirect Networks’ (DDN’s) GRIDScaler and the democratization of Big Data.

Publish date: 10/25/12
news / Blog

Big Data Appliance Wrapped Up for the Enterprise

Here we are in Santa Clara eagerly awaiting Strata.... Hadoop's R+D infant years are passing, and now it is of the age where vendors are truly adding value for the enterprise IT shop. Clearly the theme is to wrap up low level complexities into higher value solutions. One standout announcement is DDN's hScaler appliance - a monster of a Hadoop machine.

  • Premiered: 02/25/13
  • Author: Mike Matchett
Topic(s): DDN Big Data Hadoop
Profiles/Reports

Are You Making Money With Your Object Storage?

Object storage has long been pigeon-holed as a necessary overhead expense for long-term archive storage, a data purgatory one step before tape or deletion. In our experience, we have seen many IT shops view object storage more as something exotic they have to implement to meet government regulations rather than as a competitive strategic asset that can help their businesses make money.


Normally when companies invest in high-end IT assets like enterprise-class storage, they hope to re-coup those investments in big ways like accelerating the performance of market competitive applica-tions or efficiently consolidating data centers. Maybe they are even starting to analyze big data to find better ways to run the business. There are far more opportunities to be sure, but these kinds of “money-making” initiatives have been mainly associated with “file” and “block” types of storage – the primary storage commonly used to power databases, host office productivity applications, and build pools of shared resources for virtualization projects. But that’s about to change. If you’ve intentionally dismissed or just over-looked object storage it is time to take deeper look. Today’s object storage provides brilliant capabilities for enhancing productivity, creating global platforms and developing new revenue streams.


Object storage has been evolving from its historical second tier data dumping ground into a value-building primary storage platform for content and collaboration. And the latest high performance cloud storage solutions could transform the whole nature of enterprise data storage. To really exploit this new generation of object storage, it is important to understand not only what it is and how it has evolved, but to start thinking about how to harness its emerging capabilities in building net new business.
 

Publish date: 05/03/13
Profiles/Reports

Extreme Applications in the Enterprise Drive Parallel File System Adoption

With the advent of big data and cloud-scale delivery, companies are racing to deploy cutting-edge services that include “extreme” applications like massive voice and image processing or complex fi-nancial analysis modeling that can push storage systems to their limits. Examples of some high visi-bility and big market impacting solutions include applications based on image pattern recognition at large scale and financial risk management based on decision-making at high speed.

 
These ground-breaking solutions, made up of very different activities but with similar data storage challenges, create incredible new lines of business representing significant revenue potential. Every day here at Taneja Group we see more and more mainstream enterprises exploring similar “extreme service” opportunities. But when enterprise IT data centers take stock of what it is required to host and deliver these new services, it quickly becomes apparent that traditional clustered and even scale-out file systems - of the kind that most enterprise data centers (or cloud providers) have racks and racks of - simply can’t handle the performance requirements.

 
There are already great enterprise storage solutions for applications that need either raw throughput, high capacity, parallel access, low latency, or high availability – maybe even for two or three of those at a time. But when an “extreme” application needs all of those requirements at the same time, only supercomputing type storage in the form of parallel file systems provides a functional solution. The problem is that most commercial enterprises simply can’t afford or risk basing a line of business on an expensive research project.


The good news is that some storage vendors have been industrializing former supercomputing storage technologies, hardening massively parallel file systems into commercially viable solutions. This opens the door for revolutionary services creation, enabling mainstream enterprise datacenters to support the exploitation of new extreme applications.  
 

Publish date: 05/03/13
news

Myths Surrounding Big Data Technology

Big data technology is a big deal for storage shops, and a clear understanding of what it means -- and doesn't mean -- is required to successfully configure storage for big data apps.

  • Premiered: 08/08/13
  • Author: Mike Matchett
  • Published: Tech Target: Search Storage
Topic(s): TBA Big Data TBA Storage TBA Cloudera TBA Apache TBA Hadoop TBA HDFS TBA MapR TBA NFS TBA CIFS TBA EMC TBA Isilon TBA DDN TBA DataDirect Networks TBA hScaler TBA Hortonworks
news

Hadoop Coming to Enterprise IT in Big Way – Taneja Group

Hadoop is coming to enterprise IT in a big way. The competitive advantage that can be gained from analyzing big data is just too 'big' to ignore. And the amount of data available to crunch is only growing bigger, whether from new sensors, capture of people, systems and process 'data exhaust', or just longer retention of available raw or low-level details.

  • Premiered: 10/16/13
  • Author: Taneja Group
  • Published: Storage Newsletter
Topic(s): TBA Hadoop TBA Big Data TBA Storage TBA Apache TBA Virtualization TBA Dell TBA HP TBA Project Serengeti TBA VMWare TBA Mirantis TBA RedHat TBA Project Savanna TBA DDN TBA NetApp TBA Teradata TBA Oracle TBA EMC TBA Isilon
news

When and how to implement an object storage platform

When deciding whether to implement an object storage platform into your environment, it makes sense to first outline what kind of data you're storing and how it's typically used.

  • Premiered: 02/04/14
  • Author: Arun Taneja
  • Published: Tech Target: Search Cloud Storage
Topic(s): TBA Arun Taneja TBA Storage TBA object storage TBA Archive TBA Backup TBA Big Data TBA analytics TBA EMC TBA Cleversafe TBA Compuverde TBA DDN TBA Dell TBA HP TBA NetApp TBA Quantum TBA Scality TBA Tarmin TBA OpenStack TBA Gluster TBA Inktank TBA RedHat TBA HDS TBA Riverbed TBA DR TBA Disaster Recovery TBA Microsoft TBA Cloud TBA Private Cloud TBA File Storage TBA Block Storage
news

Hadoop Storage Options: Time to Ditch DAS?

Hadoop is immensely popular today because it makes big data analysis cheap and simple: you get a cluster of commodity servers and use their processors as compute nodes to do the number crunching, while their internal direct attached storage (DAS) operate as very low cost storage nodes.

  • Premiered: 02/19/15
  • Author: Taneja Group
  • Published: Infostor
Topic(s): TBA Hadoop TBA Storage TBA DAS TBA Direct attached storage TBA Compute TBA SATA TBA HDFS TBA Hadoop Distributed File System TBA data TBA MapReduce TBA YARN TBA Hadoop 2 TBA data lake TBA data refinery TBA Enterprise Storage TBA DR TBA Disaster Recovery TBA compliance TBA Security TBA Business Continuity TBA Performance TBA FC TBA Fibre Channel TBA SAN TBA NAS TBA Virtualization TBA Cloud TBA VM TBA Virtual Machine TBA MapR
news

New approaches to scalable storage

With all these scalable storage approaches, IT organizations must evaluate the options against their data storage and analytics needs, as well as future architectures.

  • Premiered: 03/16/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Data Center
Topic(s): TBA Mike Matchett TBA TechTarget TBA Storage TBA scalable TBA scalability TBA analytics TBA Data Storage TBA Big Data TBA Block Storage TBA File Storage TBA object storage TBA scale-out TBA scale-up TBA Performance TBA Capacity TBA HA TBA high availability TBA latency TBA IOPS TBA Flash TBA SSD TBA File System TBA Security TBA NetApp TBA Data ONTAP TBA ONTAP TBA EMC TBA Isilon TBA OneFS TBA Cloud
news

Big data analytics applications impact storage systems

Analytics applications for big data have placed extensive demands on storage systems, which Mike Matchett says often requires new or modified storage structures.

  • Premiered: 09/03/15
  • Author: Mike Matchett
  • Published: TechTarget: Search Storage
Topic(s): TBA Mike Matchett TBA Big Data TBA analytics TBA Storage TBA Primary Storage TBA scalability TBA Business Intelligence TBA BI TBA AWS TBA Amazon AWS TBA S3 TBA HPC TBA High Performance Computing TBA High Performance TBA ETL TBA HP Haven TBA HP TBA Hadoop TBA Vertica TBA convergence TBA converged TBA IOPS TBA Capacity TBA latency TBA scale-out TBA software-defined TBA software-defined storage TBA SDS TBA YARN TBA Spark