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  1. #1
    WHT-BR Top Member
    Data de Ingresso
    Dec 2010

    [EN] Magic Quadrant: Storage and Integrated Systems

    Magic Quadrant for Distributed File Systems and Object Storage

    The report, Magic Quadrant for Distributed File Systems and Object Storage, was published on 20 October, 2016, and written by Julia Palmer, Arun Chandrasekaran, Raj Bala, analysts at Gartner, Inc.

    Bimodal approaches that demand infrastructure agility and scalability are stimulating market adoption of scale-out file and object storage products. This research helps I&O leaders assess the key attributes, vision and execution prowess of distributed file systems and object storage market vendors.

    Strategic Planning Assumption

    By 2021, more than 80% of enterprise data will be stored in scale-out storage systems in enterprise and cloud data centers, up from 30% today.

    Market Definition/Description

    Scale-out storage systems are growing fast and becoming a popular platform to tackle the unabated growth of unstructured data. With data growth exceeding 40% year over year in many enterprises, infrastructure and operations (I&O) leaders are looking for extensible storage products that can address an increasing number of use cases with lower acquisition and operational costs.

    Enterprises are demanding features and capabilities prevalent in big data cloud infrastructures, such as self-healing and ease of management. Software-defined storage (SDS), deployed on commodity hardware, is emerging as a threat to external controller-based (ECB) storage arrays in environments with a steep growth of unstructured data. New and established storage vendors are continuing to develop scalable storage clustered file systems and object storage products to address cost and scalability limitations in traditional, scale-up storage environments.

    Gartner defines distributed file systems and object storage as software and hardware solutions that offer object and/or scale-out file technology to address requirements for unstructured data growth and based on 'shared nothing architecture.' A shared nothing architecture is a distributed computing architecture in which each node is independent and self-sufficient, and there is no single point of contention across the system (see the Acronym Key and Glossary Terms section).

    Distributed file system storage uses a single parallel file system to cluster multiple storage nodes together, presenting a single namespace and storage pool to provide high bandwidth for multiple hosts in parallel. Data is distributed over multiple nodes in the cluster to deliver data availability and resilience in a self-healing manner, and to provide high throughput and capacity linearly.

    Object storage refers to devices and software that house data in structures called "objects," and serve clients via RESTful HTTP APIs, such as Amazon Simple Storage Service (S3) and OpenStack Swift.

    Artigo completo com análise de cada vendedor e produtos:

  2. #2
    WHT-BR Top Member
    Data de Ingresso
    Dec 2010

    Integrated Systems

    Gartner Magic Quadrant for Integrated Systems

    Magic Quadrant for Integrated Systems was published on 10 October 2016 (ID: G00291000) by Andrew Butler, Philip Dawson, Julia Palmer, George J. Weiss and Kiyomi Yamada, analysts at Gartner, Inc.


    Hyperconvergence is disrupting the integrated system market, with major system vendors joining the growing number of startups (some of which are now mature). I&O leaders should still recognize a role for solutions based on SANs and either blades or rack servers, depending on workload requirements.

    Strategic Planning Assumptions

    By 2019, approximately 30% of the global storage array capacity installed in enterprise data centers will be deployed on software-defined storage (SDS) or hyperconverged integrated system (HCIS) architectures based on x86 hardware systems, up from less than 5% today[/B]. 20% of mission-critical applications currently deployed on three-tier IT infrastructure will transition to HCISs by 2020.

    Market Definition/Description

    Gartner's view of the integrated system market is focused on transformational technologies or approaches delivering on the future needs of end users. It is not focused purely on the market as it is today. Integrated systems are combinations of server, storage and network infrastructure, sold with management software that facilitates the provisioning and management of the combined unit. As organizations seek to modernize and consolidate legacy data center infrastructure, the appeal of integrated systems is high, as these technologies are able to coexist with existing systems and integrate increasingly with the use of external cloud services. Software vendor support is rarely an issue with most integrated systems that are aimed at generic situations, and the dividing line between the role of integrated systems and that of traditional three-tier server, storage and networking infrastructure becomes more blurred with each year.

    The market for integrated systems can be subdivided into broad categories, some of which overlap. Gartner categorizes these classes of integrated systems (among others) as:

    Integrated stack systems (ISSs) - Server, storage and network hardware integrated with application software to provide appliance or appliance-like functionality. Examples include Oracle Exadata Database Machine and Teradata.

    HCISs - Tightly coupled compute, network and storage hardware that dispenses with the need for a regular SAN. Storage management functions, plus optional capabilities like backup, recovery, replication, deduplication and compression, are delivered via the management software layer and/or hardware, together with compute provisioning. Examples include Nutanix, Scale Computing, Cisco (HyperFlex) and SimpliVity.

    Integrated infrastructure systems (IISs) - Server, storage and network hardware integrated to provide shared compute infrastructure. Examples include EMC Vblock Systems and HPE ConvergedSystem 700.

    Integrated reference architectures (IRAs) - Products in which a specification for a logical set of hardware and/or software components for an integrated system are certified by two or more vendors (ideally with a common source of service and support). Examples of all listed integrated system types can be deployed as reference architectures.

    Hyperconvergence vendors may engage with one or more system vendors to create a solution based on their software stack as either an additional type of IRA or an OEM agreement. Examples include SimpliVity working with Cisco, or Atlantis Computing partnering with Dell, Supermicro, Cisco, HPE and Lenovo. Some hyperconvergence vendors only deliver reference architecture solutions through their software value-add (a 'bring your own hardware' approach to complement their software solutions). Examples include Stratoscale, HTBase and StarWind Software. We exclude such approaches from this research if the vendor has no other integrated system market presence. In terms of market penetration, the HCIS market is very skewed, with over 70% of revenue accounted for by just Nutanix and SimpliVity. Early enterprise preference showed markedly for appliance solutions around HCISs, but new opportunities for software-only approaches are opening up as the market expands to address other use cases.

    Some forms of IRA allow vendors to group separate server, storage and network elements from a menu of eligible options to create an integrated system experience. Such reference architectures may be based on a loose partnership between software and one or more hardware vendors, or between multiple hardware vendors. Support and escalation may also be divided across multiple vendors. Reference architectures that only support a variety of hardware and software components are more variable by their nature, and are, therefore, more difficult to assess versus packaged integrated systems. Deploying these reference architectures without a single point of support may also result in a variable support experience that makes it difficult to assess them versus packaged integrated systems. We have, therefore, chosen not to evaluate them in this research. However, where eligible vendors also engage in IRA prescriptive blueprint initiatives, we do assess this as part of our overall evaluation of the vendor.

    Added market complexity is created because integrated systems of different categories are frequently evaluated against each other in deal situations. For example, because IIS solutions are generic multipurpose systems that can run a variety of workloads, it is common for one IIS to be compared with another. However, users that want to deploy a specific workload - such as an Oracle Database Management System (DBMS) workload - might compare an Oracle Exadata Database Machine (which has the workload embedded) with a generic IIS system that is also capable of running the workload, or with an IIS platform that has an applicable reference architecture. However, it would be rare to see one ISS competing with another ISS, because the choice of stacks and workload takes priority over the choice of platform. So if Oracle DBMS serving is the required workload, the only viable ISS solution is likely to be an Oracle Engineered System. However, our client inquiries indicate that IIS solutions are increasingly challenging IIS competition, especially where concerns about technology lock-in are high.

    It is also increasingly common for HCIS solutions to be evaluated as a form of IIS solution, especially in 'greenfield' situations where no integrated system has been bought before. Hyperconvergence vendors will challenge the need for and expense of SAN technology and enterprise blade servers.

    This Magic Quadrant continues to assess different classes of integrated systems versus each other as organizations tend to follow the same evaluation process, and will compare alternative forms of integrated systems for certain workloads. Hardware (server, network and storage), operating systems and virtualization software are evaluated alongside any associated management tools and HA solutions. It considers hardware depth and scale, software stack management breadth and depth, and support of the infrastructure, as well as flexibility in the use of reference architectures. This research is not intended to judge embedded software stacks, application or platform components individually, such as middleware, DBMS software and cluster software in the application or DBMS tiers.

    Most IIS and ISS solutions are based on blade server technology, with closely coupled SAN and NAS, which enable boot-from-disk capability for all physical and virtual nodes; thus, the system becomes stateless. However, blades are not a prerequisite, and some vendors will promote rack-based solutions as well. As the blade server market morphs toward composable and other packaging approaches, this will drive evolution in the market for IIS solutions as well. Hyperconverged solutions are usually based on rack-optimized nodes that can be extended through the life of the system. The majority of IIS and ISS solutions are really effective packaging of server, storage and networking components that are sold as separate products in their own right, while HCIS solutions are purpose-designed and built to form a prepackaged integrated system. We are also seeing the emergence of new-generation, chassis-based 'fabric-based computers' that merge the three compute, storage and network elements more seamlessly.

    Like blade-based infrastructure, integrated systems deliver value that is more facilities - and operationally based; generic systems will rarely run applications any faster or more reliably than conventional infrastructure. They augment and complement traditional data center infrastructure, but will not always be the best solution for new-generation workloads and modernization projects. But technology and adoption trends will gradually blur the lines of distinction, resulting in a future market opportunity for integrated systems that will be as fertile at the network edge as it is in the data center today.

    Magic Quadrant positions are calculated using the weighted evaluation criteria listed later in this research Every criterion is separately scored for each vendor. Even when vendor scores increase year over year, visible improvement in chart position is dependent on how well that vendor's scores improve in relation to the improvements being achieved by other vendors.

    Artigo completo com análise de cada vendedor e produtos:

  3. #3
    WHT-BR Top Member
    Data de Ingresso
    Dec 2010

    IBM: Uninterrupted fall of storage hardware now under $500 million

    Jean-Jacques Maleval

    IBM Corp. announced 3FQ16 results ended September 30, 2016.

    As usual, it's the first company involved in storage announcing its financial results for the third quarter of the year.

    For the third time, the company published one and only one figure for its storage business: -9% Y/Y decrease for hardware revenue during the quarter. It was 13% during the former quarter.

    It's horrible and dramatic: the 20th consecutive quarter with Y/Y decreasing hardware storage sales. It seems that nothing can interrupt this continuous fall and we don't see any aggressive move to reverse this trend.

    As the figure of $510 million was released 3FQ15, we conclude that storage revenue for 3FQ16 reach less than half billion dollar for the first time, only $464 million. IBM storage could finish FY16 with less than $2 billion in FY15.

    Commenting this bad result, Martin Schroeter, IBM's SVP and CFO, stated: "Storage hardware was down 9% Y/Y this quarter reflecting the ongoing shift in value towards software. Gross margin is down reflecting both volume and price pressure. The hardware decline was mainly driven by low end and mid-range traditional disk storage. Our high-end disk storage grew this quarter. All flash array revenue grew as we have expanded our flash technology across our product portfolio. We recently rolled out new products and transition to a full suite of flash offerings making us competitively positioned, and while now in our system segment we also continue to see double digit revenue growth in software-defined storage, so across system, we're facing product cycle headwinds and some transitions in POWER and storage, while continuing to deliver important technologies and capabilities to address cognitive and cloud."

    Revenue Growth of IBM Storage Products

    Fiscal period
    Y/Y growth
    4Q11 -1%
    1Q12 -4%
    3Q12 -10%
    4Q12 -5%
    1Q13 -11%
    2Q13 -7%
    3Q13 -11%
    4Q13 -13%
    1Q14 -23%
    2Q14 -12%
    3Q14 -6%
    4Q14 -8%
    1Q15 -4%
    2Q15 -10%
    3Q15 -19%
    4Q15 -11%
    1Q16 -6%
    2Q16 -13%
    3Q16 -9%

    To read the earnings call transcript

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