Gartner Research

Hype Cycle for Big Data, 2014

Published: 04 August 2014

ID: G00261655

Analyst(s): Frank Buytendijk


Big data has just passed the top of the Hype Cycle, and moving toward the Trough of Disillusionment. This is not a bad thing. It means the market starts to mature, becoming more realistic about how big data can be useful for organizations — large and small. Big data will become business as usual.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Context Brokers
    • Virtual Personal Assistants
    • Personal Analytics
    • Information Valuation and Infonomics
    • Data as a Service
    • Operational Intelligence Platforms
    • Supply Chain Big Data Analytics
    • Quantified Self
    • Data Lakes
    • Hadoop-Based Data Discovery
    • Graph Analysis
    • Open Data
    • Search-Based Data Discovery Tools
    • Graph Database Management Services
    • MDM and Social Data
    • Prescriptive Analytics
  • At the Peak
    • Big Data Analytics for Customer Intelligence
    • Data Science
    • High-Performance Message Infrastructure
    • Predictive Analytics
    • Smart Advisors
    • Information Capabilities Framework
    • Big Data Analytics for Fraud and Security
    • Information Semantic Services
    • Table-Style Database Management Services
    • Enterprise Information Architecture
    • Hadoop SQL Interfaces
    • Internet of Things
    • Logical Data Warehouse
    • Natural-Language Question Answering
    • Wearable User Interfaces
    • Document Store Database Management Systems
    • Complex-Event Processing
  • Sliding Into the Trough
    • Key-Value Database Management Systems
    • In-Memory Database Management Systems
    • Content Analytics
    • Dynamic Data Masking
    • Telematics
    • Hadoop Distributions
    • Entity Resolution and Analysis
    • In-Memory Data Grids
    • Data Warehouse Platform as a Service (dwPaaS)
    • Social Analytics
    • Cloud Computing
    • Linked Data
  • Climbing the Slope
    • In-Memory Analytics
    • Data Federation/Virtualization
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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