Gartner Research

Hype Cycle for Information Infrastructure, 2012

Published: 31 July 2012

ID: G00231349

Analyst(s): Mike Blechar

Summary

Information Infrastructure technologies enable organizations to describe, organize, share, integrate and govern data and content to create business value. Use this Hype Cycle to understand and seize opportunities from established and emerging capabilities.

Table Of Contents

Analysis

  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off The Hype Cycle
  • On the Rise
    • Open-Source Data Quality Tools
    • Information Semantic Services
    • Data Services
  • At the Peak
    • Information Capabilities Framework
    • Data Integration Platform as a Service
    • Big Data
    • Enterprise Information Architecture
    • Enterprise Metadata Management
    • Information Stewardship Applications
    • Logical Data Warehouse
    • noSQL Database Management Systems
    • Data Integration Tools and Data Quality Tools Convergence
    • Complex-Event Processing
    • Cross-Platform Structured Data Archiving
    • Data Quality Software as a Service
    • Database Platform as a Service (dbPaaS)
    • In-Memory Database Management Systems
  • Sliding Into the Trough
    • Enterprise Taxonomy and Ontology Management
    • Entity Resolution and Analysis
    • In-Memory Data Grids
    • Master Data Management
    • Open-Source Data Integration Tools
    • MapReduce and Alternatives
    • Data Integration Tool Suites
    • Database Software as a Service (dbSaaS)
    • Content Integration and Migration
  • Climbing the Slope
    • Data Federation/Virtualization
    • Open-Source DBMS
    • Data Quality Tools
  • Entering the Plateau
    • Column-Store DBMS
    • Database Appliances
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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