Global Hadoop Market 2016-2020

SKU ID :TNV-10289919 | Published Date: 19-May-2016 | No. of pages: 72
PART 01: Executive summary • Key findings PART 02: Scope of the report • Hadoop distribution vendors • Technology partners PART 03: Market research methodology • Research methodology • Economic indicators PART 04: Introduction • Key market highlights PART 05: Emergence of Hadoop • How Hadoop came into picture • Data and Hadoop story PART 06: Hadoop components • Hadoop 1.0 and Hadoop 2.0 overview • Hadoop components PART 07: Hadoop projects ecosystem PART 08: Hadoop-based big data management process • Comparison of Hadoop and RDBMS PART 09: Market size and forecast PART 10: Market segmentation by deployment • Market overview • Global Hadoop market by deployment PART 11: Market segmentation by product • Global Hadoop market by product PART 12: Market segmentation by end-user • Global Hadoop market by end-user PART 13: Market segmentation by region • Global Hadoop market by region • Global Hadoop market by region 2015-2020 PART 14: Market drivers • Big data plays a pivotal role in advent of Hadoop • Hadoop ensures optimal use of resources • Hadoop solution provides better clarity on time management PART 15: Impact of drivers PART 16: Market challenges • Dearth of technical skill act as a barrier during deployment phases • Difficulties with open-source software • Real-time data analytics issues • Hadoop platform's immaturity PART 17: Impact of drivers and challenges PART 18: Market trends • Increasing investment in global Hadoop market • HDaaS solution is encouraged by SMEs for cost-effectiveness • Rising need to enhance flexibility and scalability to make operational decisions PART 19: Five forces analysis PART 20: Vendor landscape • Hadoop distribution vendors vs technology partners • Mapping of Hadoop distribution vendors with technology partners PART 21: Hadoop distribution vendors • Cloudera • Hortonworks • MapR PART 22: Technology partners • Amazon Web Services • Cisco Systems • Datameer • IBM • Microsoft • Oracle • Pivotal • Teradata PART 23: Other prominent vendors PART 24: Appendix • List of abbreviations PART 25: Explore Technavio List of Exhibits Exhibit 01: On-premises and HDaaS segments of global Hadoop market 2015 and 2020 (% share) Exhibit 02: Hadoop distribution offerings Exhibit 03: Technology partners integrating Hadoop distribution Exhibit 04: Advantages of Hadoop Exhibit 05: NoSQL databases mapped to vendors Exhibit 06: Hadoop components Exhibit 07: Apache Hadoop ecosystem Exhibit 08: Hadoop-based big data management process Exhibit 09: Comparison of Hadoop and RDBMS Exhibit 10: Global Hadoop market 2015-2020 ($ billions) Exhibit 11: Global Hadoop market by deployment 2015 (% share) Exhibit 12: Use of Hadoop in large companies Exhibit 13: Global Hadoop market share by deployment 2015-2020 (% share) Exhibit 14: Global Hadoop market by product type Exhibit 15: Global Hadoop market by product 2015 (% share) Exhibit 16: Global Hadoop market share by product 2015-2020 (% share) Exhibit 17: Global Hadoop market by product 2015-2020 ($ billions) Exhibit 18: Global Hadoop market by end-user Exhibit 19: Geographical segmentation of Hadoop market 2015 (% share) Exhibit 20: Geographical segmentation of Hadoop market 2020 (% share) Exhibit 21: Geographical segmentation of Hadoop market 2015-2020 ($ billions) Exhibit 22: Impact of drivers Exhibit 23: Impact of drivers and challenges Exhibit 24: Five forces analysis Exhibit 25: Mapping of Hadoop distribution vendors with technology partners Exhibit 26: Cloudera products and services Exhibit 27: Hortonworks products Exhibit 28: Amazon Web Services products Exhibit 29: Amazon Web Services solutions Exhibit 30: Datameer products Exhibit 31: Other prominent vendors
Cloudera, Hortonworks, MapR, Amazon Web Services, Cisco Systems, Datameer, IBM, Microsoft, Oracle, Pivotal, Teradata, Altiscale, Cask, Google, HP, Infochimps, Karmasphere, Mortar Data, Pentaho.
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