Gartner Research

China Summary Translation: 'Hype Cycle for Information Infrastructure, 2016'

Published: 20 January 2017

ID: G00317556

Analyst(s): Donald Feinberg , Merv Adrian , Owen Chen

Summary

"Hype Cycle for Information Infrastructure, 2016" helps CDOs, data and analytics leaders and architects understand the evolutionary pace of emerging information management technologies, creating awareness of novel technologies.

Table Of Contents

报告摘录

Hype Cycle for Information Infrastructure, 2016

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Context Brokering
    • In-Process HTAP
    • Multimodel DBMSs
    • Data as a Service
    • File Analysis
    • In-DBMS Analytics
  • At the Peak
    • Blockchain
    • Point-of-Decision HTAP
    • Event Stream Processing
    • Self-Service Data Preparation
    • Data Lakes
    • Spark
    • Graph DBMSs
  • Sliding Into the Trough
    • Information Stewardship Applications
    • Operational In-Memory DBMS
    • Hadoop SQL Interfaces
    • iPaaS for Data Integration
    • Table-Style DBMSs
    • Application Data Management
    • Enterprise Taxonomy and Ontology Management
    • Key-Value DBMSs
    • Cross-Platform Structured Data Archiving
    • Document Store DBMSs
    • Logical Data Warehouse
    • Master Data Management
    • Hadoop Distributions
    • Analytical In-Memory DBMS
  • Climbing the Slope
    • Database Platform as a Service
    • Metadata Management Solutions
    • SaaS Archiving of Messaging Data
    • Data Integration Tool Suites
    • Enterprise Information Archiving
    • Content Migration
    • In-Memory Data Grids
    • Data Federation/Virtualization Tools
  • Entering the Plateau
    • Data Quality Tools
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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