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Ovum Decision Matrix: Selecting an Analytic Database, 2013-14

出版商 Ovum (TMT Intelligence, Informa) 商品編碼 296107
出版日期 內容資訊 英文
商品交期: 最快1-2個工作天內
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決策資料庫:分析資料庫的選擇 Ovum Decision Matrix: Selecting an Analytic Database, 2013-14
出版日期: 2014年01月14日 內容資訊: 英文


第1章 摘要

  • 發展要素
  • Ovum的見解
  • 主要調查結果

第2章 供應商解決方案的選擇

  • 包含的評價標準
  • 不包含的評價標準
  • 供應商解決方案
  • 調查方法
  • Ovum的評級
  • Ovum互動決策矩陣

第3章 市場與解決方案分析

  • Ovum決策矩陣:分析資料庫
  • 市場領導:Teradata Aster Discovery Platform、SAP HANA、IBM PureData、HP Vertica
  • 挑戰者:Kognitio、ParAccel (目前Actian)、Sybase IQ
  • 追隨者:Infobright

第4章 市場領導

  • 技術
  • 實行
  • 對市場的影響力

第5章 供應商分析

  • HP Vertica(Ovum推薦:領導者)
  • SAP Sybase IQ(Ovum推薦:挑戰者)
  • Infobright(Ovum推薦:追隨者)
  • Kognitio(Ovum推薦:挑戰者)
  • ParAccel(Ovum推薦:挑戰者)
  • SAP HANA(Ovum推薦:領導者)
  • IBM PureData System for Analytics(Ovum推薦:領導者)
  • Teradata Aster Discovery Platform(Ovum推薦:領導者)



Product Code: IT014-002786


Analytic databases have shaken up the previously commoditized database market in the last two to three years. Databases have started to make headlines again thanks to the advent of Big Data and alternative "NoSQl" database infrastructures.


Ovum believes that there are currently eight major platforms (IBM PureData, Kognitio, Infobright, SAP HANA, SAP Sybase IQ, Teradata Aster Discovery Platform, ParAccel, and HP Vertica) that provide the widest range of capabilities for organizations seeking to deploy analytic databases. This report outlines the strengths, weaknesses, and best use-cases for each solution. It also offers a comparative framework for evaluating the leading analytic databases available on the market today.


  • Ovum's research shows that business cases for purchasing and implementing analytic databases are becoming more pertinent day by day. Traditional data warehousing architectures are struggling to meet modern analytics requirements, such as managing larger data volumes and handling new types of data.
  • To address these newer requirements, vendors have incorporated some core design principles in both their software and hardware for improving analytic processing performance. Software strategies include conventional query optimization, smart index management, pre-calculated/aggregated views (multidimensional or materialized), in-memory processing, and columnar storage.
  • Hardware strategies that help in faster and better query performance include using architectures such as MPP, in-memory engines, interconnects, and preconfigured appliances. Ovum finds that all vendors covered in this assessment use one or more of these strategies to optimize performance.

Features Benefits

  • Examines the analytic database market and its key constituents.
  • Helps organizations discover which analytic database vendor is best suited to their needs.
  • Discusses what differentiates the leading vendors in the market.

Questions Answers

  • What are the major innovation areas in analytic databases?
  • How are analytic database solutions embracing disruptive trends and technology?
  • How do the analytic database solutions Ovum has identified compare?

Table of Contents


  • Catalyst
  • Ovum view
  • Key findings


  • Inclusion criteria
  • Exclusion criteria
  • Vendor solutions
  • Methodology
  • Ovum ratings
  • Ovum Interactive Decision Matrix


  • Ovum Decision Matrix: analytic databases, 2013-14
  • Market leaders: Teradata Aster Discovery Platform, SAP HANA, IBM PureData, HP Vertica
  • Market challengers: Kognitio, ParAccel (now Actian), Sybase IQ
  • Market followers: Infobright


  • Market leaders: technology
  • Market leaders: execution
  • Market leaders: market impact


  • HP Vertica (Ovum recommendation: Leader)
  • SAP Sybase IQ (Ovum recommendation: Challenger)
  • Infobright (Ovum recommendation: Follower)
  • Kognitio (Ovum recommendation: Challenger)
  • ParAccel (Ovum recommendation: Challenger)
  • SAP HANA (Ovum recommendation: Leader)
  • IBM PureData System for Analytics (Ovum recommendation: Leader)
  • Teradata Aster Discovery Platform (Ovum recommendation: Leader)


  • Further reading
  • Author
  • Ovum Consulting
  • Disclaimer
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