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市場調查報告書

巨量資料的領導企業:1010data、Cloudera、Hortonworks、NetApp及Tableau Software

Big Data Leaders: 1010data, Cloudera, Hortonworks, NetApp, and Tableau Software

出版商 Mind Commerce 商品編碼 298120
出版日期 內容資訊 英文 95 Pages
商品交期: 最快1-2個工作天內
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巨量資料的領導企業:1010data、Cloudera、Hortonworks、NetApp及Tableau Software Big Data Leaders: 1010data, Cloudera, Hortonworks, NetApp, and Tableau Software
出版日期: 2014年03月24日 內容資訊: 英文 95 Pages
簡介

巨量資料技術,可讓企業處理龐大的資料集,以最小延遲時間(有時為即時)從那產生資訊/分析。

本報告提供巨量資料市場上主要企業的詳細的簡介、各公司的企業概要、服務、策略、聯盟,及財務檢討等相關資料,為您概述為以下內容。

第1章 巨量資料:概要

第2章 巨量資料:市場趨勢與預測

  • 巨量資料收益:各市場區隔
  • 巨量資料:各供應商
  • 巨量資料:各零件
  • 企業如何從巨量資料得到利益

第3章 TABLEAU SOFTWARE

  • 企業概要
  • 服務(解決方案、應用、產品與服務)
    • 產品
    • 技術
  • 策略、計劃
  • 聯盟、聯盟
  • 財務、經營焦點
  • 主要的契約獲得
  • 分析、結論

第4章 NETAPP

  • 企業概要
  • 服務(解決方案、應用、產品與服務)
  • 策略、計劃
  • 聯盟、聯盟
  • 財務、經營焦點
  • 主要的契約獲得
  • 分析、結論

第5章 CLOUDERA

  • 企業概要
  • 服務(解決方案、應用、產品與服務)
  • 產品
  • 服務(專門服務)
  • 解決方案
  • 策略、計劃
  • 聯盟、聯盟
  • 主要的契約獲得
  • 分析、結論

第6章 HORTONWORKS

  • 企業概要
  • 服務(解決方案、應用、產品與服務)
  • 產品
  • 通訊業者(Telco)取向
  • 製造商取向
  • 零售業者取向
  • 策略、計劃
  • 聯盟、聯盟
  • 主要的契約獲得
  • 分析、結論

第7章 1010DATA

  • 企業概要
  • 服務(解決方案、應用、產品與服務)
  • 產品
  • 服務
  • 解決方案
  • 策略、計劃
  • 聯盟、聯盟
  • 主要的契約獲得
  • 分析、結論

圖表清單

目錄

Big Data represents a collection of data sets so large and complex that it becomes difficult to process using on-hand database management tool. It is also unstructured, meaning that it is not tabulated, correlated, etc. (e.g. it does not have a pre-defined data model or is not organized in a pre-defined manner).

Big Data technologies enable organizations to handle huge datasets and generate information/insights from them with minimal delay time (sometimes in real-time).

Leading companies in Big Data are the already making great strides and will surely represent the forbearers of many great solutions yet to come.

Companies evaluated in this report* include:

  • 1010data
  • Cloudera
  • Hortonworks
  • NetApp
  • Tableau

For each company evaluated in this report we include the following:

  • Company Overview
  • Offering Analysis
  • Strategies and Plans
  • Mergers and Acquisitions
  • Partnerships and Alliances
  • Financial and Operational Review
  • Key Contract Wins Assessment
  • Analysis and Conclusions

*Note: Mind Commerce plans to evaluate additional companies in Big Data (look for similar reports).

Target Audience:

  • Big Data and analytics companies
  • Data as a Service (DaaS) companies
  • Cloud-based service providers of all types
  • Data processing and management companies
  • Application Programmer Interface (API) companies
  • Public investment organizations including investment banks
  • Private investment including hedge funds and private equity

Table of Contents

1.0 BIG DATA: AN OVERVIEW

  • 1.1 THE TRANSFORMATION FROM TRADITIONAL DATA TO BIG DATA
  • 1.2 THE 3VS OF BIG DATA
  • 1.3 DETAILS OF THE 3V'S OF BIG DATA
  • 1.4 BIG DATA SURVEY FINDINGS
  • 1.5 APPROACHES TOWARDS BIG DATA
  • 1.6 THE IMPORTANCE OF BIG DATA AND BENEFITS FOR ORGANIZATIONS
  • 1.7 KEY ENABLERS OF BIG DATA
  • 1.8 BIG DATA CHALLENGES FOR THE ORGANIZATIONS

2.0 BIG DATA: MARKET TRENDS AND FORECAST

  • 2.1 BIG DATA REVENUES BY SEGMENT
  • 2.2 BIG DATA BY VENDOR
  • 2.3 BIG DATA BY COMPONENT
  • 2.4 HOW ORGANIZATIONS HAVE BENEFITTED FROM BIG DATA

3.0 TABLEAU SOFTWARE

  • 3.1 COMPANY OVERVIEW
  • 3.2 OFFERINGS (SOLUTIONS, APPLICATIONS, PRODUCTS, SERVICES)
    • 3.2.1 PRODUCTS
    • 3.2.2 TECHNOLOGIES
  • 3.3 STRATEGIES AND PLANS
  • 3.4 PARTNERSHIPS AND ALLIANCES
  • 3.5 FINANCIAL & OPERATIONAL HIGHLIGHTS
  • 3.6 KEY CONTRACTS WINS
  • 3.7 ANALYSIS AND CONCLUSION

4.0 NETAPP

  • 4.1 COMPANY OVERVIEW
  • 4.2 OFFERINGS (SOLUTIONS, APPLICATIONS, PRODUCTS, SERVICES)
  • 4.3 MERGERS AND ACQUISITIONS
  • 4.4 STRATEGIES AND PLANS
  • 4.5 PARTNERSHIPS AND ALLIANCES
  • 4.6 FINANCIAL & OPERATIONAL HIGHLIGHTS
  • 4.7 KEY CONTRACTS WINS
  • 4.8 ANALYSIS AND CONCLUSION

5.0 CLOUDERA

  • 5.1 COMPANY OVERVIEW
  • 5.2 OFFERINGS (SOLUTIONS, APPLICATIONS, PRODUCTS, SERVICES)
  • 5.3 PRODUCTS
  • 5.4 SERVICES (PROFESSIONAL SERVICES)
  • 5.5 SOLUTIONS
  • 5.6 STRATEGIES AND PLANS
  • 5.7 PARTNERSHIPS AND ALLIANCES
  • 5.8 KEY CONTRACTS WINS
  • 5.9 ANALYSIS AND CONCLUSION

6.0 HORTONWORKS

  • 6.1 COMPANY OVERVIEW
  • 6.2 OFFERINGS (SOLUTIONS, APPLICATIONS, PRODUCTS, SERVICES)
  • 6.3 HORTONWORKS OFFERINGS FOR TELCOS VERTICAL
  • 6.4 HORTONWORKS OFFERINGS FOR MANUFACTURING VERTICAL
  • 6.5 HORTONWORKS OFFERINGS FOR RETAIL VERTICAL
  • 6.6 STRATEGIES AND PLANS
  • 6.7 PARTNERSHIPS AND ALLIANCES
  • 6.8 KEY CONTRACTS WINS
  • 6.9 ANALYSIS AND CONCLUSION

7.0 1010DATA

  • 7.1 COMPANY OVERVIEW
  • 7.2 OFFERINGS (SOLUTIONS, APPLICATIONS, PRODUCTS, SERVICES)
  • 7.3 PRODUCTS
  • 7.4 SOLUTIONS
  • 7.5 STRATEGIES AND PLANS
  • 7.6 PARTNERSHIPS AND ALLIANCES
  • 7.7 KEY CONTRACTS WINS
  • 7.8 ANALYSIS AND CONCLUSION

LIST OF FIGURES

  • Figure 1: Hype Cycle for Emerging Technologies, 2013
  • Figure 2: Business Intelligence Challenge for Companies
  • Figure 3: Total Data Volume in BI environment
  • Figure 4: Relevance of Big Data between Organizations
  • Figure 5: Use of Big Data Technologies
  • Figure 6: Big Data Revenues by Segment
  • Figure 7: Big Data Revenue by Leading Vendors
  • Figure 8: Big Data Professional Services Revenue by Leading Vendors
  • Figure 9: Big Data Compute Revenue by Leading Vendors
  • Figure 10: Big Data Storage Revenue by Leading Vendors
  • Figure 11: Big Data SQL and NoSQL Database Revenue by Vendors
  • Figure 12: Big Data Application Revenue by Vendors
  • Figure 13: Big Data XaaS Revenue by Vendors
  • Figure 14: Big Data Networking Revenue by Vendors
  • Figure 15: Big Data Market Forecast by Component
  • Figure 16: Big Data SQL and No SQL Database Revenue

LIST OF TABLES

  • Table 1: Key features of Traditional Data and Big Data

1010data Figures and Tables

  • Figure 1: Big Data offerings of 1010data 6
  • Table 1: Selected partnerships of 1010data

1Cloudera Figures and Tables

  • Figure 1: Big Data offerings of Cloudera
  • Figure 2: Features of Cloudera CDH offering
  • Figure 3: Features of Cloudera Enterprise
  • Table 1: Cloudera Industry solutions
  • Table 2: Select partnerships of Cloudera
  • Table 3: Select clients of Cloudera in the recent years

Hortonworks Figures and Tables

  • Figure 1: Hortonworks Data Platform
  • Figure 2: Reference Architecture for Telco vertical Clients
  • Figure 3: Reference Architecture for Manufacturing vertical Clients
  • Figure 4: Reference Architecture for Retail vertical Clients
  • Figure 5: Hortonworks and its Big Data partner ecosystem
  • Table 1: Select Recent Partnerships of Hortonworks

NetApp Figures and Tables

  • Figure 1: NetApp - Products and Solutions offerings
  • Figure 2: NetApp - Revenue across Geographies
  • Figure 3: NetApp - Revenue across Geographies (in million USD)
  • Figure 4: NetApp - Revenue by services offerings
  • Figure 5: NetApp - Revenue by Service Offerings (in million USD)
  • Table 1: NetApp - Key Information
  • Table 2: NetApp partnerships for various Solution Type
  • Table 3: NetApp partnership for Big Data Offerings
  • Table 4: Select Recent Partnerships of NetApp
  • Table 5: NetApp - Operational Highlights
  • Table 6: Select clients of NetApp

Tableau Figures and Tables

  • Figure 1: Tableau Software - Revenue across Geographies
  • Figure 2: Tableau Software - Revenue across Geographies (in million USD)
  • Figure 3: Tableau Software - Revenue by services offerings
  • Figure 4: Tableau Software - Revenue by Service Offerings
  • Table 1: Tableau - Key Information
  • Table 2: Select Partnerships of Tableau Software
  • Table 3: Select Recent Partnerships of Tableau Software
  • Table 4: Tableau Software - Operational Highlights
  • Table 5: Select clients of Tableau Software
  • Table 6: Leading clients of Tableau Software across various Industry Verticals
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