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On Cloud

During the first decade of this century, we shifted fairly quickly from a relatively simple set of data technologies and implementations to a very large spectrum of options, with vendors proposing for all kinds of data and applications. They are responding to an increasing demand for specialization, introduced by the necessity for overall efficiency, cost reduction, and today’s large capacities.

In such an evolved scenario, the Swiss army knife approach no longer works. Cloud, , Big Data Analytics, Virtualization, Containers, archives as well as laws, regulations, security concerns, and policies are the driving forces which lead to reconsidering all aspects of data and how it is saved. Furthermore, each single application has different workload characteristics and must be addressed accordingly in order to stay competitive and respond quickly and adequately to new challenges. Data is now accessed locally as well as remotely, adding another layer of complexity when the same piece of information needs to be shared quickly and safely to a multitude of devices distributed across the globe.

A two-tier storage strategy is essential now for covering both latency- and capacity-driven workloads in an appropriate way.

This sector roadmap examines an expanding segment of the market— storage for secondary and capacity-driven workloads in the enterprise—by reviewing major vendors, forward-looking solutions, and outsiders along with the primary use cases. This document covers Scality, SwiftStack, EMC ECS, RedHat Ceph, HDS HCP, NetApp StorageGRID Webscale, Cloudian, Caringo, DDN, HGST, and will give additional information on products from OpenIO, NooBaa, IBM Cleversafe, and Minio.

The final goal is to provide the reader with the tools to understand the benefits of object storage and how it can be implemented to solve specific business needs and technical challenges. This report will also aid a better understanding of how the market is , and offer support for developing a long-term strategy for existing and future storage infrastructures.

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Table of Contents

  1. Summary
  2. Introduction and Methodology
  3. Usage Scenarios
  4. Disruption Vectors
  5. Company Analysis
  6. Additional Vendors
  7. Outlook and Key Takeaways
  8. About Enrico Signoretti
  9. About Gigaom Research

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Bigdata and data center

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